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Taipei•Publicerad: 17 juli•Sista ansökan: 16 aug.
職位概述（Role Overview） Coupang 正重新定義購物體驗，而我們的程式化廣告（Programmatic Ad）產品正驅動新一代電商整合。 我們正在尋找一位具策略思維的客戶經理（Account Manager），負責管理台灣的聯盟夥伴（Affiliate partners）。此職位將專注於發展與優化媒體/網站夥伴關係、推動更深入的 API 整合，以及透過 Coupang 的聯盟技術（Affiliate Technologies）挖掘長期變現機會。 你將與產品、工程與合作夥伴團隊密切合作，以最大化合作夥伴績效、營收成長與整合深度。 工作內容（What You Will Do） 1. 夥伴成長與帳戶管理（Partner Growth & Account Management） * 負責並拓展台灣地區 App 與網站媒體夥伴組合 * 推動既有帳戶的營收成長、留存與業務擴展 * 發掘升級機會，將夥伴從基礎展示型變現（display）提升至 API 驅動的電商整合模式 * 與產品、工程及商務團隊等關鍵利害關係人建立長期穩定關係 * 作為合作夥伴的主要聯絡窗口與信任顧問 2. 技術解決方案顧問與整合優化（Technical Solution Consulting & Integration Optimization） * 作為策略顧問，協助媒體夥伴優化 Coupang 搜尋與推薦 API 的整合效果 * 與夥伴工程團隊合作，提升整合品質、資料流與整體效能 * 分析績效數據，提出優化建議以提升轉換率、互動率與變現能力 * 與 Coupang 內部產品與工程團隊跨部門合作，解決問題並推動功能優化 3. 營收優化與程式化策略（Revenue Optimization & Programmatic Strategy） * 運用對 SSP（供應方平台）、程式化生態與競價模式的理解，優化夥伴變現成果 * 協助夥伴從傳統模式（waterfall / display）轉型至進階的程式化 + API 驅動模式 * 探索成長槓桿，包括流量分群、版位策略與推薦邏輯優化 * 使用 Dashboard 或 SQL 追蹤與管理關鍵商業指標 4. 夥伴成功與策略發展（Partner Success & Strategic Development） * 為重點夥伴制定帳戶策略與成長藍圖 * 監控夥伴健康度，辨識風險並主動推動留存策略 * 分享市場洞察與最佳實務，提升夥伴整體表現 * 必要時支援新夥伴 onboarding，並著重長期成長與規模擴展 基本資格與能力（Basic Qualifications & Skills） * 5 年以上 Account Management、Partner Management 或 Business Development 經驗（需具備 AdTech / Programmatic / 行動變現領域背景） * 熟悉媒體變現模式、SSP 及程式化廣告生態系 * 具備管理與成長策略型或企業級客戶的經驗 * 能將商業需求轉化為技術解決方案與整合策略 * 能與技術團隊討論 API、資料流與系統整合相關議題 * 具備強烈數據分析思維，能以數據與績效驅動決策 Company Introduction Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door. Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Overseas” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?” Role Overview Coupang is reimagining the shopping experience, with our Programmatic Ad products driving next-generation commerce integrations. We are looking for a strategic Account Manager to manage our affiliate partners in Taiwan. This role focuses on growing and optimizing publisher relationships, driving deeper API integrations, and unlocking long-term monetization opportunities through Coupang’s Affiliate Technologies. You will work closely with product, engineering, and partner teams to maximize partner performance, revenue growth, and integration depth. What You Will Do 1. Partner Growth & Account Management * Own and grow a portfolio of app and web publisher partners in Taiwan * Drive revenue growth, retention, and expansion across existing accounts * Identify upsell opportunities by expanding partners from basic display monetization to API-based commerce integration * Build strong, long-term relationships with key stakeholders including Product, Engineering, and Business teams * Act as the primary point of contact and trusted advisor for partners 1. Technical Solution Consulting & Integration Optimization * Serve as a consultative partner to help publishers optimize integration of Coupang’s Search & Recommendation APIs * Collaborate with partner engineering teams to improve integration quality, data flow, and performance outcomes * Analyze performance data and recommend adjustments to maximize conversion, engagement, and monetization yield * Work cross-functionally with Coupang product and engineering teams to resolve issues and roll out enhancements 1. Revenue Optimization & Programmatic Strategy * Leverage understanding of SSPs, programmatic ecosystem, and bidding models to improve partner monetization outcomes * Help partners optimize yield by transitioning from legacy models (waterfall / display) to more advanced programmatic + API-driven models * Identify growth levers including traffic segmentation, placement strategy, and recommendation logic * Track and manager key business performance metrics using Dashboard or SQL 1. Partner Success & Strategic Development * Develop account plans and growth roadmap for key partners * Monitor partner health, identify risks, and proactively drive retention strategies * Share market insights and best practices to elevate partner performance * Support onboarding of new partners when needed, but with a focus on long-term success and scaling Basic Qualifications & Skills * 5+ years of experience in Account Management, Partner Management, or Business Development within AdTech / Programmatic / Mobile Monetization * Strong understanding of publisher monetization, SSPs, and programmatic advertising ecosystem * Experience managing and growing strategic or enterprise-level accounts * Ability to translate business needs into technical solutions and integration strategies * Comfortable discussing API concepts, data flow, and system integration with technical stakeholders * Strong analytical mindset with ability to drive decisions through data and performance metrics * Native Mandarin and professional English proficiency Recruitment Process and Others Recruitment Process * Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer * The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. * Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider * This job posting may be closed prior to the stated end date for application if all openings are filled. * Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. * Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Privacy Notice * Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/
Taipei•Publicerad: 17 juli•Sista ansökan: 16 aug.
職位概述（Role Overview） Coupang 正重新定義購物體驗，而我們的程式化廣告（Programmatic Ad）產品正驅動新一代電商整合。 我們正在尋找一位具策略思維的客戶經理（Account Manager），負責管理台灣的聯盟夥伴（Affiliate partners）。此職位將專注於發展與優化媒體/網站夥伴關係、推動更深入的 API 整合，以及透過 Coupang 的聯盟技術（Affiliate Technologies）挖掘長期變現機會。 你將與產品、工程與合作夥伴團隊密切合作，以最大化合作夥伴績效、營收成長與整合深度。 工作內容（What You Will Do） 1. 夥伴成長與帳戶管理（Partner Growth & Account Management） * 負責並拓展台灣地區 App 與網站媒體夥伴組合 * 推動既有帳戶的營收成長、留存與業務擴展 * 發掘升級機會，將夥伴從基礎展示型變現（display）提升至 API 驅動的電商整合模式 * 與產品、工程及商務團隊等關鍵利害關係人建立長期穩定關係 * 作為合作夥伴的主要聯絡窗口與信任顧問 2. 技術解決方案顧問與整合優化（Technical Solution Consulting & Integration Optimization） * 作為策略顧問，協助媒體夥伴優化 Coupang 搜尋與推薦 API 的整合效果 * 與夥伴工程團隊合作，提升整合品質、資料流與整體效能 * 分析績效數據，提出優化建議以提升轉換率、互動率與變現能力 * 與 Coupang 內部產品與工程團隊跨部門合作，解決問題並推動功能優化 3. 營收優化與程式化策略（Revenue Optimization & Programmatic Strategy） * 運用對 SSP（供應方平台）、程式化生態與競價模式的理解，優化夥伴變現成果 * 協助夥伴從傳統模式（waterfall / display）轉型至進階的程式化 + API 驅動模式 * 探索成長槓桿，包括流量分群、版位策略與推薦邏輯優化 * 使用 Dashboard 或 SQL 追蹤與管理關鍵商業指標 4. 夥伴成功與策略發展（Partner Success & Strategic Development） * 為重點夥伴制定帳戶策略與成長藍圖 * 監控夥伴健康度，辨識風險並主動推動留存策略 * 分享市場洞察與最佳實務，提升夥伴整體表現 * 必要時支援新夥伴 onboarding，並著重長期成長與規模擴展 基本資格與能力（Basic Qualifications & Skills） * 5 年以上 Account Management、Partner Management 或 Business Development 經驗（需具備 AdTech / Programmatic / 行動變現領域背景） * 熟悉媒體變現模式、SSP 及程式化廣告生態系 * 具備管理與成長策略型或企業級客戶的經驗 * 能將商業需求轉化為技術解決方案與整合策略 * 能與技術團隊討論 API、資料流與系統整合相關議題 * 具備強烈數據分析思維，能以數據與績效驅動決策 Company Introduction Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door. Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Overseas” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?” Role Overview Coupang is reimagining the shopping experience, with our Programmatic Ad products driving next-generation commerce integrations. We are looking for a strategic Account Manager to manage our affiliate partners in Taiwan. This role focuses on growing and optimizing publisher relationships, driving deeper API integrations, and unlocking long-term monetization opportunities through Coupang’s Affiliate Technologies. You will work closely with product, engineering, and partner teams to maximize partner performance, revenue growth, and integration depth. What You Will Do 1. Partner Growth & Account Management * Own and grow a portfolio of app and web publisher partners in Taiwan * Drive revenue growth, retention, and expansion across existing accounts * Identify upsell opportunities by expanding partners from basic display monetization to API-based commerce integration * Build strong, long-term relationships with key stakeholders including Product, Engineering, and Business teams * Act as the primary point of contact and trusted advisor for partners 1. Technical Solution Consulting & Integration Optimization * Serve as a consultative partner to help publishers optimize integration of Coupang’s Search & Recommendation APIs * Collaborate with partner engineering teams to improve integration quality, data flow, and performance outcomes * Analyze performance data and recommend adjustments to maximize conversion, engagement, and monetization yield * Work cross-functionally with Coupang product and engineering teams to resolve issues and roll out enhancements 1. Revenue Optimization & Programmatic Strategy * Leverage understanding of SSPs, programmatic ecosystem, and bidding models to improve partner monetization outcomes * Help partners optimize yield by transitioning from legacy models (waterfall / display) to more advanced programmatic + API-driven models * Identify growth levers including traffic segmentation, placement strategy, and recommendation logic * Track and manager key business performance metrics using Dashboard or SQL 1. Partner Success & Strategic Development * Develop account plans and growth roadmap for key partners * Monitor partner health, identify risks, and proactively drive retention strategies * Share market insights and best practices to elevate partner performance * Support onboarding of new partners when needed, but with a focus on long-term success and scaling Basic Qualifications & Skills * 5+ years of experience in Account Management, Partner Management, or Business Development within AdTech / Programmatic / Mobile Monetization * Strong understanding of publisher monetization, SSPs, and programmatic advertising ecosystem * Experience managing and growing strategic or enterprise-level accounts * Ability to translate business needs into technical solutions and integration strategies * Comfortable discussing API concepts, data flow, and system integration with technical stakeholders * Strong analytical mindset with ability to drive decisions through data and performance metrics * Native Mandarin and professional English proficiency Recruitment Process and Others Recruitment Process * Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer * The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. * Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider * This job posting may be closed prior to the stated end date for application if all openings are filled. * Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. * Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. Privacy Notice * Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/
Hamburg•Publicerad: 17 juli•Sista ansökan: 16 aug.
Your mission at Voi As a Shift Supervisor & Driver, you manage a team of Fleet Specialists. You will divide your time between performing tasks in-field - driving (90%) and managerial duties (hiring, training, performance follow-ups of the team)(10%). Your responsibilities will be: * Vehicle Utilization – You are out on the streets, collecting and deploying our scooters with a hands on mentality * Navigating Logistics – Aid in receiving, packing, and deploying new vehicles * Managing your team – Create shiftplans, cultivate team performance, and proactively enhance processes when unmet expectations are met. Supervise your team's activities, ensuring tasks are conducted efficiently and safely * Upholding Quality Standards – Collaborate with your team to identify and rectify damaged or misplaced vehicles, ensuring tidy parking spots and restoring fallen vehicles * Synergistic Planning – Collaborate with managers to optimize work schedules, ensuring efficient shift planning and execution. JOB CONDITIONS Working hours: 40 hrs per week, shift job, to include night shifts and weekends Contract type: fixed term (1 year) WHAT YOU NEED TO EMBARK We seek a Supervisor with a hands-on mentality who is not afraid to roll up the sleeves. Key qualifications include: * Driving Force – Possess a valid driver's license❗️(Class B for min. of 2 years) * Hands-On Leadership – Previous leadership experience * Fluent Communicator – Fluent in English, fostering clear communication. Basic knowledge of German is required❗️ * Ownership and Positivity – A proactive, positive attitude, and a strong sense of ownership. * Collaboration Catalyst – Skilled in promoting and nurturing team collaboration * Flexible Commitment – Willingness to work in a shift rotation, spanning Monday to Sunday. WHY VOI? Working at Voi is more than just a job; Our People Promise includes a personal Voiage where you will grow professionally and be a part of a team and culture that builds something meaningful for society. In addition to this, you’ll have the opportunity to: * Join Europe's #1 micromobility company * Have a direct impact on our continued success and the development of the micromobility industry in our biggest market * Get a great work-life balance with a fair fixed salary and 30 days of paid vacation. Alternative job titles: Shift Supervisor, Drivers Supervisor, Route Supervisor, Fleet Supervisor, Drivers Leader, Drivers Coordinator. --------------------------------------------------------------- Deine Mission bei Voi Als Shift Supervisor und Fahrer leitest du ein Team von Fleet Specialists. Du wirst deine Zeit zwischen der Durchführung von Fahraufgaben (90%) und administrativen Aufgaben (Einstellung, Schulung, Leistungsüberprüfung des Teams) (10%) aufteilen. Deine Aufgaben umfassen: * Fahrzeugnutzung – Du bist auf den Straßen unterwegs, sammelst und verteilst unsere Scooter mit einer praktischen Herangehensweise. * Logistiknavigation – Unterstützung beim Empfang, Verpacken und Verteilen neuer Fahrzeuge. * Teamführung – Erstelle Schichtpläne, fördere die Teamleistung und verbessere proaktiv Prozesse, wenn unerfüllte Erwartungen erfüllt werden. Überwache die Aktivitäten deines Teams, um sicherzustellen, dass Aufgaben effizient und sicher ausgeführt werden. * Wahrung der Qualitätsstandards – Arbeite mit deinem Team zusammen, um beschädigte oder falsch platzierte Fahrzeuge zu identifizieren und zu beheben, sorge für ordentliche Parkplätze und stelle umgefallene Fahrzeuge wieder auf. * Synergistische Planung – Arbeite mit den Managern zusammen, um Arbeitspläne zu optimieren und eine effiziente Schichtplanung und Ausführung zu gewährleisten ARBEITSBEDINGUNGEN Arbeitszeiten: Vollzeit, Schichtarbeit, Inklusive Nachtschichten und Wochenende Vertragstyp: befristet (1 Jahr) WAS DU FÜR DEINEN VOIAGE BENÖTIGST Wir suchen einen Supervisor mit einer praktischen Herangehensweise, der nicht davor zurückschreckt, die Ärmel hochzukrempeln. Zu den wichtigsten Qualifikationen gehören: * Treiber – Besitz eines gültigen Führerscheins❗️(Klasse B seit mind. 2 Jahren) * Pragmatische Führung – Erfahrung in der Führung von Teams * Fließende Kommunikation – Fließend in Englisch mit klarer Kommunikation. Grundkenntnisse in Deutsch sind erforderlich❗️ * Eigenverantwortung und Positivität – Eine proaktive, positive Haltung und ein starkes Verantwortungsbewusstsein. * Kollaborationsförderer – Fähigkeit, Teamarbeit zu fördern und zu unterstützen. * Flexible Einsatzbereitschaft – Bereitschaft, im Schichtbetrieb zu arbeiten, von Montag bis Sonntag. WARUM VOI? Arbeiten bei Voi ist mehr als nur ein Job; Unser "People Promise" umfasst eine persönliche Voiage, bei der du dich beruflich weiterentwickeln und Teil eines Teams und einer Kultur werden wirst, die etwas Bedeutendes für die Gesellschaft aufbaut. Zusätzlich hast du die Möglichkeit: Dem führenden Unternehmen der Mikromobilität in Europa beizutreten. Direkt Einfluss auf unseren fortgesetzten Erfolg und die Entwicklung der Mikromobilitätsbranche in unserem größten Markt zu nehmen. Ein ausgezeichnetes Gleichgewicht zwischen Arbeit und Privatleben zu genießen, mit einem fairen Festgehalt und 30 Tagen bezahltem Urlaub. Alternative Jobbezeichungen: Schichtleiter, Fahrerbetreuer, Routenleiter, Flottenleiter, Fahrerführer, Fahrerkoordinator
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Bangkok•Publicerad: 17 juli•Sista ansökan: 16 aug.
About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to Know our Team: The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world. In this role you'll get to: * Experimentation and optimizing campaign performance: Experiment with pricing strategies on different traffic and segments. Adapt to new product features and roll out changes from successful tests. * Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap * Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders What you’ll Need to Succeed: * Bachelor’s Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science) * Ability to communicate fluently in English * 2+ years’ experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company * Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL * Good numerical reasoning skills * Proficiency in Excel * Intellectual curiosity It’s Great if you Have: * Experience in digital marketing * Academic research experience #STRA#ANLS#MRKT#3#LI-TR2 #SANFRANCISCO #SANJOSE #LOSANGELES #SANDIEGO #OAKLAND #DENVER #MIAMI #ORLANDO #ATLANTA #CHICAGO #BOSTON #DETROIT #NEWYORK #PORTLAND #PHILADELPHIA #DALLAS #HOUSTON #AUSTIN #SEATTLE #WASHDC #TIRANA #YEREVAN #SYDNEY #MELBOURNE #PERTH #VIENNA #GRAZ #LINZ #BAKU #MINSK #BRUSSELS #ANTWERP #GHENT #CHARLEROI #LIEGE #SAOPAOLO #SOFIA #TORONTO #VANCOUVER #MONTREAL #SHANGHAI #BEIJING #SHENZHEN #ZAGREB #CYPRUS #PRAGUE #BRNO #OSTRAVA #COPENHAGEN #CAIRO #ALEXANDRIA #GIZA #ESTONIA #HELSINKI #PARIS #NICE #MARSEILLE #ROUEN #LYON #TOULOUSE #TBILISI #BERLIN #MUNICH #HAMBURG #STUTTGART #COLOGNE #FRANKFURT #DUSSELDORF #DORTMUND #ESSEN #BREMEN #LEIPZIG #DRESDEN #HANOVER #NUREMBERG #ATHENS #HONGKONG #BUDAPEST #BANGALORE #NEWDELHI #JAKARTA #BALI #BANDUNG #DUBLIN #TELAVIV #MILAN #ROME #NAPLES #TURIN #PALERMO #VENICE #BOLOGNA #FLORENCE #TOKYO #OSAKA #YOKOHAMA #NAGOYA #OKINAWA #FUKUOKA #SAPPORO #AMMAN #IRBID #RIGA #BEIRUT #TRIPOLI #VILNIUS #LUXEMBOURG #KUALALUMPUR #MALTA #CHISINAU #AMSTERDAM #OSLO #JERUSALEM #MANILA #WARSAW #KRAKOW #SINTRA #LISBON #PORTO #BRAGA #CASCAIS #LOURES #AMADORA #ALMADA #DOHA #ALRAYYAN #BUCHAREST #MOSCOW #SAINTPETERSBURG #RIYADH #JEDDAH #MECCA #MEDINA #BELGRADE #SINGAPORE #BRATISLAVA #CAPETOWN #JOHANNESBURG #SEOUL #BARCELONA #MADRID #VALENCIA #SEVILLE #BILBAO #MALAGA #OVIEDO #ALICANTE #LASPALMAS #ZARAGOZBANGA #STOCKHOLM #ZURICH #GENEVA #BASEL #TAIPEI #TAINAN #TAICHUNG #KAOHSIUNG #PHUKET #BANGKOK #ISTANBUL #ANKARA #IZMIR #DUBAI #ABUDHABI #SHARJAH #LONDON #MANCHESTER #LIVERPOOL #EDINBURGH #KIEV #HCMC #HANOI #SANAA #TAIZ #ADEN #GIBRALTAR #MARRAKECH #LODZ #WROCLAW #POZNAN #GDANSK #SZCZECIN #BYDGOSZCZ #LUBLIN #KATOWICE #RIO #SALVADOR #FORTALEZA #BRASILIA #BELO #BELEM #MANAUS #CURITIBA #PORTOALEGRE #SAOLUIS DATA REPRESENTATION DATA ANALYSIS SQL DATA ANALYTICS ANALYTICS PYTHON (PROGRAMMING LANGUAGE) DATA MINING DATA SCIENCE R (PROGRAMMING LANGUAGE) TABLEAU ANALYTICAL SKILLS DATA VISUALIZATION DATABASES BUSINESS ANALYSIS BUSINESS INTELLIGENCE (BI) MICROSOFT SQL SERVER MACHINE LEARNING STATISTICS MICROSOFT POWER BI JAVA FINANCE SHOPEE TRAVELOKA GOOGLE FACEBOOK CTRIP TRIP.COM MAKEMYTRIP GRAB AMAZON PANDAS (SOFTWARE) ARTIFICIAL INTELLIGENCE (AI) INFORMATION TECHNOLOGY CAPITAL ONE ACCENTURE UPWORK DELOITTE MCKINSEY BAIN MICROSOFT UBER LYFT GOJEK LAZADA ALIBABA SHOPIFY EXPEDIA SKYSCANNER PLEASE REVIEW OUR HIRING PROCESS GUIDELINES BEFORE YOUR INTERVIEW — CLICK HERE TO LEARN HOW INTERVIEWING AT AGODA WORKS. DISCOVER MORE ABOUT WORKING AT AGODA * Agoda Careers https://careersatagoda.com * Facebook https://www.facebook.com/agodacareers/ * LinkedIn https://www.linkedin.com/company/agoda * YouTube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
United States•Publicerad: 17 juli•Sista ansökan: 16 aug.
MKTQ227R22 Reporting to the Senior Director of Demand Generation, this role is responsible for uniting cross-functional stakeholders to develop and execute the biannual, strategic, and integrated Demand Generation and Field Marketing plan. You’ll act as a central connecting point between go-to-market teams—ensuring we align with the company's overarching priorities and deliver measurable growth. The impact you will have: * Strategic Alignment: Lead collaboration across Demand Generation, Partner Marketing, Field Marketing, and other key leaders to articulate how integrated half-year plans roll up to company goals, securing executive alignment and approval. * Business Driver/SME: Informs and champions transformational operational excellence: A strong, scalable, operating rhythm that drives accountability, transparency, and measurability throughout the campaign development process. * Data-Driven Insights: Synthesize complex data and insights to guide executive decision-making and strategic adjustments. * Forward Thinking: Advocates and prioritizes a roadmap, asks about the future of integrated campaign development, and identifies and prioritizes high-impact projects to help scale the organization effectively. What we look for: * 7+ years of professional experience, of which 5+ years of experience are in demand generation in a high-growth SaaS startup. * Strong communication and stakeholder management skills; skilled at influencing across senior levels. * Proven ability to build operational frameworks, manage budgets, and drive cross-functional alignment. * Comfort working in dynamic, fast-paced environments and managing competing priorities. * Analytical mindset with proficiency in data-driven decision-making and campaign performance analysis. * Past experience working on integrated campaigns with expertise in end-to-end campaign development, execution, and measurement. * Prioritize and achieve in an environment that requires fresh thinking and new ideas. Strong growth mindset, having an open mind to new ideas and growth opportunities. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $192,400—$264,550 USD Zone 2 Pay Range $173,200—$238,150 USD Zone 3 Pay Range $163,500—$224,850 USD Zone 4 Pay Range $153,900—$211,650 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Munich•Publicerad: 17 juli•Sista ansökan: 16 aug.
SLSQ227R832 We are open to strong candidates based in other locations in Germany. We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialists, to lead a regional team of specialists across the Central region responsible for growing the Databricks Lakebase business. Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organisations move away from fragmented stacks toward a unified data and application platform. In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernise legacy databases, simplify application architectures, and operationalise AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organisation. This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers. THE IMPACT YOU WILL HAVE: * Drive Revenue Growth * Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region. * Build and maintain a healthy pipeline across application modernisation, database consolidation, and operational workload opportunities. * Support the team in replacing or consolidating legacy operational databases onto the Databricks platform. * Execute and scale repeatable sales plays that drive land-and-expand adoption. * Lead and Develop the Specialist Team * Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists. * Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement. * Foster a culture of accountability, execution, and customer focus. * Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies. * Execute the Developer and Platform Sales Motion * Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region. * Enable the regional core field sales team to identify and qualify operational workload opportunities. * Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads. * Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value. * Strategic Customer and Partner Engagement * Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders. * Position Databricks as a premier application data platform alongside its data and AI capabilities. * Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives. * Collaborate with cloud providers, SIs, and ISVs to accelerate adoption. * Provide Field Feedback to Product and GTM * Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership. * Provide structured insights on regional customer requirements, competitive dynamics, and blockers. * Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation. WHAT WE LOOK FOR: * Experience in enterprise software, SaaS, cloud platform, database, or developer platform sales. * Experience directly managing high-performing enterprise sales or specialist teams. * Demonstrated success in executing specialised GTM motions or scaling new product lines within a larger matrixed organisation. * Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications. * Proven track record of selling into CIO, CTO, architecture, and platform engineering organisations. * Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams. * A proven record of meeting or exceeding revenue targets in highly competitive markets. * Ability to translate complex technical platform capabilities into tangible business value for both executives and developers. * Excellent communication, coaching, and presentation skills. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
HQ Management
United States•Publicerad: 17 juli•Sista ansökan: 16 aug.
SLSQ426R477 We are looking for a highly skilled, strategic, and tenacious AMER ISV Leader with strong vision and unparalleled execution. You will design, develop, and execute the ISV GTM strategy and programs. You have driven scale and multiplier effects. You will define priorities, drive activity, work closely with the leadership team, and roll up your sleeves to execute. You will drive competitive advantage to ISVs, accelerate Databricks’ growth, and unlock business impact to joint customers. The impact you will have * GTM Strategy & Execution: Develop and execute AMER GTM strategy, implementing innovative strategies that expand our market presence. * Sales Programs: Launch sales plays and programs within Databricks, ISVs, and our shared ecosystem with an industry-first lens. Launch programs, sales plays, partner power plays (with Cloud, SIs, and other ISVs). * Demand Generation - Work with Sales Dev, Demand Gen, and Marketing to launch outbound and inbound campaigns to spread awareness and create pipeline creation * Operational Excellence: Create and drive operational rigor for cadence, reporting, KPIs, escalation process, stakeholder updates, and QBRs. * Market Research: Conduct research, including customer discussions and aggregated customer feedback, to identify trends, customer needs, and competitive landscape to inform solution development and strategy. Provide data-driven insights on trends and represent voice of the partner and customer * Sales Enablement: Collaborate with enablement, sales, and solution engineering to drive ISV-related sales motions, including training, messaging, and co-selling efforts. * Deal Support: Anticipate (and proactively solve) channel conflict, support deal creation through close, drive account field engagement with BU leaders and strategic priority accounts. * One-Team: Develop an environment for winning and success to further nurture a ‘one team’ collaborative culture Examples of responsibilities * Set a winning Strategy: Understand and align the right ISVs to Sales priorities, company priorities, and critical industry imperatives * Drive Partner Success: Work with ISV Partner C-suite, Alliance, and Sales teams to build and execute on GTM plans in the region. Facilitate Regional QBRs with important partners. * Build for Scale: Work with Sales Programs to embed ISV Partners into core motions and priorities. * Activate and enable the field: Scope, create and deliver enablement on how best to work with ISVs and which ISVs to work with for certain industry imperatives and company priorities. Lead Sales workshops between partners and databricks to unlock new use cases and progress said pipeline * Represent the business: Have the depth to handle discussions on Delta Sharing partners, Connected partners, and Built Ons with customers and partners. * Make our ISV Program a competitive differentiator: Engage top data and AI leadership, industry leadership, and the C-suite to build mindshare with top ISVs and build a program that is just as much a competitive differentiator for partners as our product. * Triangulate and drive ecosystem success: Drive Partner Power Play, aligning the right ISVs to the right SIs. Define repeatable use cases and work with the industry team and partners to build Brickbuilder Solutions * Measure, Iterate, and Improve: Identify cross-functional gaps and work to bring teams together to solve them. Identify gaps in our ecosystem portfolio and assist in recruiting the appropriate partners. Drives efficiencies and productivity across their region, guiding on accurate activity tracking from a depth of experience * Collaborate Cross Functionally: Interlock and build effective relationships with Sales teams, Business Development, Product, Engineering, Pre-sales, Post-sales, Marketing, Partners, and other partners in the ecosystem What we look for: Experience: * 20+ years experience selling Software, SaaS, and Cloud Sales * 10+ years experience architecting and defining strategy for ISV at scale * Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer) * Degree in business, economics, engineering, finance, science, or math preferred * Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Product, Engineering, Marketing) Skills: * Outstanding communication skills (verbal, written, and presentation) for both technical and executive audiences * Technically Knowledgeable in the open source software, big data, IoT, and/or cloud computing space. * Ability to translate technical concepts into business value, interacting with both business executives and technical audiences (data scientists and engineers). * In-depth understanding of alliance/partner organizations, key stakeholder management, joint value proposition development, and delivering field enablement programs. * Possess the aptitude to learn quickly and establish credibility. * Proactive, entrepreneurial spirit and tenacious team player Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $172,200—$236,775 USD Zone 2 Pay Range $172,200—$236,700 USD Zone 3 Pay Range $172,200—$236,700 USD Zone 4 Pay Range $172,200—$236,700 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Business Development
Tokyo•Publicerad: 17 juli•Sista ansökan: 16 aug.
We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialist, to lead a team of specialists responsible for growing the Databricks Lakebase business in Japan. Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform. In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization. This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers. THE IMPACT YOU WILL HAVE: * Drive Revenue Growth * Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region. * Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities. * Support the team in replacing or consolidating legacy operational databases onto the Databricks platform. * Execute and scale repeatable sales plays that drive land-and-expand adoption. * Lead and Develop the Specialist Team * Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists. * Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement. * Foster a culture of accountability, execution, and customer focus. * Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies. * Execute the Developer and Platform Sales Motion * Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region. * Enable the regional core field sales team to identify and qualify operational workload opportunities. * Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads. * Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value. * Strategic Customer and Partner Engagement * Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders. * Position Databricks as a premier application data platform alongside its data and AI capabilities. * Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives. * Collaborate with cloud providers, SIs, and ISVs to accelerate adoption. * Provide Field Feedback to Product and GTM * Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership. * Provide structured insights on regional customer requirements, competitive dynamics, and blockers. * Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation. WHAT WE LOOK FOR: * 8+ years of experience in enterprise software, SaaS, cloud platform, database, or developer platform sales. * 3+ years of experience directly managing high-performing enterprise sales or specialist teams. * Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization. * Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications. * Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations. * Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams. * A proven record of meeting or exceeding revenue targets in highly competitive markets. * Ability to translate complex technical platform capabilities into tangible business value for both executives and developers. * Excellent communication, coaching, and presentation skills. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
HQ Management
Toronto•Publicerad: 17 juli•Sista ansökan: 16 aug.
SLSQ227R816 We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialists, to lead a regional team of specialists responsible for growing the Databricks Lakebase business. Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform. In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization. This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers. THE IMPACT YOU WILL HAVE: * Drive Revenue Growth * Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region. * Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities. * Support the team in replacing or consolidating legacy operational databases onto the Databricks platform. * Execute and scale repeatable sales plays that drive land-and-expand adoption. * Lead and Develop the Specialist Team * Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists. * Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement. * Foster a culture of accountability, execution, and customer focus. * Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies. * Execute the Developer and Platform Sales Motion * Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region. * Enable the regional core field sales team to identify and qualify operational workload opportunities. * Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads. * Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value. * Strategic Customer and Partner Engagement * Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders. * Position Databricks as a premier application data platform alongside its data and AI capabilities. * Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives. * Collaborate with cloud providers, SIs, and ISVs to accelerate adoption. * Provide Field Feedback to Product and GTM * Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership. * Provide structured insights on regional customer requirements, competitive dynamics, and blockers. * Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation. WHAT WE LOOK FOR: * 8+ years of experience in enterprise software, SaaS, cloud platform, database, or developer platform sales. * 3+ years of experience directly managing high-performing enterprise sales or specialist teams. * Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization. * Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications. * Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations. * Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams. * A proven record of meeting or exceeding revenue targets in highly competitive markets. * Ability to translate complex technical platform capabilities into tangible business value for both executives and developers. * Excellent communication, coaching, and presentation skills. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
HQ Management
New York City•Publicerad: 17 juli•Sista ansökan: 16 aug.
SLSQ227R822 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. We are looking for a highly strategic and execution-oriented Director, Lakebase Sales Specialists, to lead a regional team of specialists responsible for growing the Databricks Lakebase business. Databricks Lakebase extends the Databricks Data Intelligence Platform into operational workloads, enabling customers to build and run real-time, transactional, and AI-powered applications directly on governed enterprise data. This role sits at the center of a major shift in enterprise architecture as organizations move away from fragmented stacks toward a unified data and application platform. In this role, you will manage a team of specialists partnering directly with Account Executives, Solution Architects, and regional Sales Leadership to help customers modernize legacy databases, simplify application architectures, and operationalize AI in production systems. This role requires strong sales leadership, deep domain expertise, and the ability to execute a specialized sales motion across a regional field organization. This is a highly visible role that collaborates closely with Global Sales Leadership, Product, and Engineering to help scale how Databricks engages developer and platform engineering buying centers. THE IMPACT YOU WILL HAVE: * Drive Revenue Growth * Own, manage, and exceed quarterly and annual consumption and booking targets for Lakebase within the region. * Build and maintain a healthy pipeline across application modernization, database consolidation, and operational workload opportunities. * Support the team in replacing or consolidating legacy operational databases onto the Databricks platform. * Execute and scale repeatable sales plays that drive land-and-expand adoption. * Lead and Develop the Specialist Team * Recruit, hire, and manage a high-performing team of Lakebase Sales Specialists. * Provide direct, hands-on coaching on complex deal strategy, technical qualification, and executive engagement. * Foster a culture of accountability, execution, and customer focus. * Partner with regional sales leadership (RVSPs/AVPs) to seamlessly integrate specialists into account plans and territory strategies. * Execute the Developer and Platform Sales Motion * Implement the global strategy for selling to application developers, platform engineering, and architecture organizations within your region. * Enable the regional core field sales team to identify and qualify operational workload opportunities. * Roll out discovery frameworks for application architectures, real-time systems, and transactional workloads. * Lead architecture workshops and developer engagement initiatives to demonstrate tangible business value. * Strategic Customer and Partner Engagement * Establish trusted relationships with regional CIOs, CTOs, Chief Architects, and platform leaders. * Position Databricks as a premier application data platform alongside its data and AI capabilities. * Directly support the team on strategic, high-value accounts pursuing application modernization or real-time digital transformation initiatives. * Collaborate with cloud providers, SIs, and ISVs to accelerate adoption. * Provide Field Feedback to Product and GTM * Serve as a critical feedback loop from the regional field to Product, Engineering, and Global Specialist Leadership. * Provide structured insights on regional customer requirements, competitive dynamics, and blockers. * Partner with Product Marketing to localize and refine messaging, positioning, and competitive differentiation. WHAT WE LOOK FOR: * 8+ years of experience in enterprise software, SaaS, cloud platform, database, or developer platform sales. * 3+ years of experience directly managing high-performing enterprise sales or specialist teams. * Demonstrated success in executing specialized GTM motions or scaling new product lines within a larger matrixed organization. * Strong technical baseline and understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications. * Proven track record of selling into CIO, CTO, architecture, and platform engineering organizations. * Ability to co-sell and navigate complex, multi-stakeholder enterprise sales cycles alongside core account teams. * A proven record of meeting or exceeding revenue targets in highly competitive markets. * Ability to translate complex technical platform capabilities into tangible business value for both executives and developers. * Excellent communication, coaching, and presentation skills. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $430,400—$591,800 USD Zone 2 Pay Range $430,400—$591,800 USD Zone 3 Pay Range $430,400—$591,800 USD Zone 4 Pay Range $430,400—$591,800 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
HQ Management
Bengaluru•Publicerad: 17 juli•Sista ansökan: 16 aug.
Staff Software Engineer, Full Stack - Guest team Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we’ll deliver on their needs for today while investing in the experiences that will power their restaurant of the future. Are you bready* for a change? We’re seeking a Staff Software Engineer to work within our team focused on building impactful capabilities that empower restaurants to drive Guest engagement, retention and growth. The team will help shape the future of how restaurants use technology to connect with their guests - increasingly through AI-powered tools and experiences that drive automation, personalization and smarter decision-making. You will be a key part of a high-impact, high-ownership engineering team solving complex challenges in a fast-moving product space. Your engineering leadership will be balancing technical excellence alongside a strong product mindset to solve for continuous growth within both the team and our product space. About this roll* (Responsibilities) * Design, build, deploy, and maintain highly resilient and scalable features * Lead complex projects that improve functionality and reliability for our customers and partners * Partner with a wide array of teams across Toast * Ensure quality by building automated testing for changes * Roll* features out to customers and partners, including monitoring for success * Collaborate with UX and PM on the definition and design of features * Mentor and coach other engineers Do you have the right ingredients*? (Requirements) * 8-12 years experience building backend services and APIs * Extensive experience working with an Object Oriented Language like Java or Kotlin, with a deep understanding of testing, quality, and best practices * Experience shipping production services and balancing getting things done with platform stability and reliability * Experience building backend services and APIs and scaling distributed systems * Focused on delivering positive impact for Toast customers * Enjoys working in a team environment with a shared code-base * Excellent cross-team communication skills on complex technical topics * Experience building cloud-native systems on AWS. * Experience influencing technical direction across multiple teams. AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits. How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring Our Approach to Hybrid Working We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Stockholm•Heltid•Publicerad: 17 juli•Sista ansökan: 16 aug.
Sugen på att ta nästa steg och börja jobba med något du verkligen brinner för? Är du är ny i IT världen och redo för nya utmaningar, söker vi dig som har teknikintresse, vilja att utvecklas och en naturlig förmåga att hitta smarta lösningar. Hos oss får du växa, lära dig nytt och använda din problemlösningsförmåga där den verkligen gör skillnad! Arbetsbeskrivning Kanske har du redan ett teknikintresse, eller så är du nyfiken på att utforska en bransch full av möjligheter? Oavsett var du börjar, välkomnar vi dig som vill utvecklas, lära dig nytt och göra skillnad! Hos oss handlar IT inte bara om teknik - det handlar om människor, problemlösning och att skapa smarta lösningar i vardagen. Vi söker dig som är nyfiken, driven och gillar att hjälpa andra! Med datorn som ditt främsta verktyg och ett genuint driv att hjälpa andra, får du hos oss rätt förutsättningar att lyckas. Du blir en viktig del av ett team där din utveckling står i fokus - både tekniskt och personligt. Som konsult hos Experis får du möjlighet att påverka din egen resa. Vi stöttar dig i att nå dina mål och utvecklas inom IT i en miljö som uppmuntrar lärande, samarbete och nytänkande. Dina arbetsuppgifter: Du är första kontakt för användare via telefon, chatt och mejl - och du guidar dem tryggt och professionellt! Du löser tekniska problem på ett pedagogiskt, effektivt och serviceinriktat sätt. Du arbetar med felsökning inom olika områden, exempelvis: nätverk operativsystem informationssäkerhet kringutrustning Du prioriterar, dokumenterar och följer upp ärenden för att säkerställa kvalitet och struktur Du lär dig kontinuerligt nya system och tekniker - utveckling är en självklar del av rollen Vi ser gärna att du har: Gymnasial relevant utbildning eller likvärdig utbildning Erfarenhet av arbete inom IT-support eller likvärdigt Kunskaper om ärendehanteringssystem Övergripande kunskap om datorer, kringutrustning, operativsystem, nätverk och informationssäkerhet Kunskaper i Microsoft Office eller likvärdigt Mycket goda kunskaper i svenska och engelska, både i tal och skrift Om Experis Experis är ett ledande, globalt konsultbolag inom IT/Tech med över 600 konsulter på uppdrag i Sverige och 22 000 konsulter runt om i världen. Via Experis får du tillgång till en stor variation av spännande uppdrag hos våra intressanta kunder inom både privat och offentlig sektor. På Experis får du en personlig konsultchef och kontinuerlig kompetensutveckling så att du kan hålla dig ajour med ny teknik. Experis, som är en del av ManpowerGroup, har ett långsiktigt hållbarhetsarbete (Working to change the world - ESG strategy) med målsättningen att bidra till att lösa kompetensbristen av bland annat IT-resurser. Vi på Experis är ett värderingsstyrt bolag, och allt vi gör genomsyras av våra värderingar People, Knowledge och Innovation. People | Vi inkluderar och välkomnar alla oavsett roll, funktion eller ansvar. Vi värderar kompetens och har förtroende för att individen tar eget ansvar och levererar inom ramen för sin rollbeskrivning. Vi är prestigelösa och vårt arbetsklimat bygger på öppenhet och trygghet. Knowledge | Vi har ett "growth mindset" och håller oss relevanta på marknaden genom att ständigt förflytta och höja vår egen kompetens, våra konsulters samt våra lösningar/erbjudanden. Innovation | Vi vågar testa nytt och misslyckas. Det kräver mod. Vi har ett utifrån och in-fokus och arbetar hela tiden med värdeskapande aktiviteter för våra målgrupper. Praktisk information * Placeringsort: Stockholm. * Omfattning: Heltid. Vill du ta nästa steg i din IT-karriär? Välkommen till Experis!
IT-supportServicedeskProblemlösning
In-Office•Publicerad: 17 juli•Sista ansökan: 16 aug.
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. AVAILABLE LOCATIONS | AUSTIN, US ABOUT THE ROLE AI inference is becoming core infrastructure. Every serious application will need access to many models, across many providers, with reliability, observability, security, cost control, and routing built in from the start. AI Gateway is Cloudflare's bet that this layer should exist at the network edge: close to users, close to compute, and simple enough that a developer can adopt it with one API change. We are obsessively agent-pilled. We don't just build the product; we build the environment that builds the product: the agents, harnesses, skills, tools, and context that let a small team ship like a much larger one. We dogfood AI Gateway, Workers AI, and the broader Cloudflare agent stack relentlessly, and we expect you to as well. RESPONSIBILITIES * As the Engineering Manager for AI Gateway, you will lead a small, high-velocity team building that layer. This is a deeply hands-on role. You will be in the code, in the design docs, in customer conversations, and in the trenches with your team. We're looking for a generative builder who can move from half-formed idea to working prototype quickly, and bring a team along with that energy. We are obsessively agent-pilled. We don't just build the product; we build the environment that builds the product: the agents, harnesses, skills, tools, and context that let a small team ship like a much larger one. We dogfood AI Gateway, Workers AI, and the broader Cloudflare agent stack relentlessly, and we expect you to as well. * Set the technical and product direction for AI Gateway alongside engineers and PMs, then roll up your sleeves and help build it. * Build the software and the software that builds the software. Your team needs to build the context and toolchain that let agents help build, operate, monitor, and improve AI Gateway itself. * Inspire and energize a team shipping at the pace the AI ecosystem demands. Provider APIs change weekly, new models drop daily, and the gap between "good idea" and "in production" is measured in days, not quarters. * Obsess over developer experience. Every error message, SDK choice, dashboard flow, and line of docs matters. You should have strong taste about what makes developer tools feel great. * Recruit, mentor, and grow engineers. Build a small team that punches massively above its weight. * Partner closely with Workers AI, Agents, and the broader Developer Platform teams to deliver a unified inference layer that feels like one product DESIRABLE SKILLS, KNOWLEDGE, AND EXPERIENCE * A minimum of 8 years of relevant industry experience, including at least 4 years managing software engineering teams. * Proven track record leading teams that have shipped and operated complex, large-scale systems, preferably in AI infrastructure, developer platforms, cloud infrastructure, edge/proxy systems, or high-scale APIs. * Significant technical depth, with the ability to guide architectural discussions, make credible technical decisions, review designs, and unblock your team. * Strong developer tools taste. You have used and built enough APIs, SDKs, dashboards, CLIs, and internal platforms to know what makes them delightful or painful. * Demonstrated ability to hire, coach, and develop senior engineers, and to build high-performing, inclusive teams that ship. You care about teams and team culture. * A hands-on approach to leadership: you consider yourself a builder, stay close to the code, know the numbers, know the customer, and know what to build next. BONUS POINTS * Experience building AI/ML infrastructure, inference platforms, model gateways, or LLM-powered applications. * Experience building developer-facing APIs or SDKs at scale. * Hands-on experience with proxy, edge, or gateway systems. * You've built or heavily customized your own agentic dev environment: custom agents, harnesses, or tooling that changed how you ship. * Familiarity with the current AI ecosystem: providers, model capabilities, agent frameworks, and where the rough edges are. * A track record of writing publicly about developer tools or systems you've built. * You've built something with AI Gateway, Workers AI, or a competing product, and have opinions about what's missing. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Bellevue•Publicerad: 17 juli•Sista ansökan: 16 aug.
RDQ427R368 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Configuration Platform team owns the systems that move configuration and feature flags across every Databricks service. The platform decouples code deployment from feature enablement for thousands of internal engineers, transports configuration across AWS, Azure, and GCP to every Databricks compute surface, and serves 25,000+ active flags and over 300 million evaluations per second at ~10μs p95 latency. It is the primary lever Databricks uses to safely roll out changes, run experiments, and mitigate incidents in minutes instead of hours. We're looking for a Senior Engineering Manager to lead a team within the Configuration Platform organization. This is a hands-on leadership role that combines deep distributed systems judgment with strong people leadership, driving multi-quarter strategy on one of Databricks' most critical stability primitives while continuing to raise the bar for how engineers across the company ship change safely. The impact you will have: * You will lead a team that directly shapes how thousands of Databricks engineers ship, ramp, and roll back changes every day * You will reduce the rate and blast radius of customer-impacting incidents caused by configuration and feature changes, through stronger guardrails, validation, and graduated rollout patterns * You will close the loop between "bad change" and automated mitigation, driving company-wide MTTR down through investments in health-mediated releases, auto-rollback, and zero-downtime configuration delivery * You will evolve the Configuration Platform user experience into a frictionless, opinionated set of surfaces (UI, CLI, agentic) where engineers author, review, and roll out changes safely without thinking about the internals * You will grow the team into a Staff and Principal attracting org whose technical decisions shape how the company balances speed and reliability What we look for: * 5+ years managing backend, infrastructure, or platform teams of roughly 7 to 15 engineers, ideally in service frameworks, feature flags, configuration systems, release safety, production reliability, or other internal platforms * Strong distributed systems and infrastructure background: Java/Scala services, RPC and routing layers, configuration systems, Kubernetes-based microservices, and multi-cloud or multi-region deployments * Hands-on EM disposition: stays close to the code, leads design reviews, and contributes technically alongside the team. Comfortable leveraging AI-assisted coding tools to amplify their own and the team's output * Demonstrated track record managing, growing, and retaining high performing teams * Comfortable partnering with senior+ engineers on design reviews, roadmap, and cross-team execution while letting strong ICs own technical details * Operational experience owning a high-availability platform with on-call, incident response, and measurable reliability improvements * Demonstrated product thinking for developers: shaping opinionated UX, rollout policies, and developer workflows that make the safe path the easy path, with strong taste on the safety versus velocity tradeoff * BS in Computer Science (Masters or higher level of education preferred) COVID-19 Vaccination Requirement As a federal government contractor, Databricks requires new U.S. employees to be fully vaccinated against COVID-19. Proof of vaccination will be required as a condition of employment. Databricks will make reasonable accommodations based on medical conditions or religious grounds for qualified candidates in accordance with applicable law. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $222,000—$300,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
San Francisco•Publicerad: 17 juli•Sista ansökan: 16 aug.
P-59 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Below are some example projects: Apache Spark™: Develop the de facto open source standard framework for big data. Data Plane Storage: Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Delta Lake: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture. Delta Pipelines: It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test & upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines. Performance Engineering: Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust. What we look for: * BS (or higher) in Computer Science, related technical field or equivalent practical experience. * Comfortable working towards a multi-year vision with incremental deliverables. * Motivated by delivering customer value and impact. * 5+ years of production level experience in either Java, Scala or C++. * Strong foundation in algorithms and data structures and their real-world use cases. * Experience with distributed systems, databases, and big data systems (Apache Spark™, Hadoop). Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $166,000—$225,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Mountain View•Publicerad: 17 juli•Sista ansökan: 16 aug.
P-59 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Below are some example projects: Apache Spark™: Develop the de facto open source standard framework for big data. Data Plane Storage: Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Delta Lake: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture. Delta Pipelines: It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test & upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines. Performance Engineering: Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust. What we look for: * BS (or higher) in Computer Science, related technical field or equivalent practical experience. * Comfortable working towards a multi-year vision with incremental deliverables. * Motivated by delivering customer value and impact. * 5+ years of production level experience in either Java, Scala or C++. * Strong foundation in algorithms and data structures and their real-world use cases. * Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop). Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $166,000—$225,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Bellevue•Publicerad: 17 juli•Sista ansökan: 16 aug.
P-987 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Below are some example projects: Apache Spark™: Develop the de facto open source standard framework for big data. Data Plane Storage: Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Delta Lake: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture. Delta Pipelines: It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test & upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines. Performance Engineering: Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust. What we look for: * BS (or higher) in Computer Science, related technical field or equivalent practical experience. * Comfortable working towards a multi-year vision with incremental deliverables. * Motivated by delivering customer value and impact. * 5+ years of production level experience in either Java, Scala or C++. * Strong foundation in algorithms and data structures and their real-world use cases. * Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop). Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $157,700—$213,800 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Bellevue•Publicerad: 17 juli•Sista ansökan: 16 aug.
P-988 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Below are some example projects: Apache Spark™: Develop the de facto open source standard framework for big data. Data Plane Storage: Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Delta Lake: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture. Delta Pipelines: It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test & upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines. Performance Engineering: Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust. What we look for: * BS (or higher) in Computer Science, related technical field or equivalent practical experience. * Comfortable working towards a multi-year vision with incremental deliverables. * Motivated by delivering customer value and impact. * 8+ years of production level experience in either Java, Scala or C++. * Strong foundation in algorithms and data structures and their real-world use cases. * Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop). Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $182,400—$247,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Mountain View•Publicerad: 17 juli•Sista ansökan: 16 aug.
P-186 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Below are some example projects: Apache Spark™: Develop the de facto open source standard framework for big data. Data Plane Storage: Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Delta Lake: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture. Delta Pipelines: It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test & upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines. Performance Engineering: Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust. What we look for: * BS in Computer Science, related technical field or equivalent practical experience. * Optional: MS or PhD in databases, distributed systems. * Comfortable working towards a multi-year vision with incremental deliverables. * Driven by delivering customer value and impact. * 8+ years of production level experience in either Java, Scala or C++. * Strong foundation in algorithms and data structures and their real-world use cases. * Experience with distributed systems, databases, and big data systems (Apache Spark™, Hadoop). Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $192,000—$260,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
San Francisco•Publicerad: 17 juli•Sista ansökan: 16 aug.
P-186 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science. Below are some example projects: Apache Spark™: Develop the de facto open source standard framework for big data. Data Plane Storage: Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Delta Lake: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture. Delta Pipelines: It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test & upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines. Performance Engineering: Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust. What we look for: * BS in Computer Science, related technical field or equivalent practical experience. * Optional: MS or PhD in databases, distributed systems. * Comfortable working towards a multi-year vision with incremental deliverables. * Driven by delivering customer value and impact. * 8+ years of production level experience in either Java, Scala or C++. * Strong foundation in algorithms and data structures and their real-world use cases. * Experience with distributed systems, databases, and big data systems (Apache Spark™, Hadoop). Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $192,000—$260,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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Pendling
Restidsgräns45 min
🚀 15 min🇸🇪 45 min snitt🚌 90 min
Pendlingskarta (Skåne)
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Standard (25-50 min)
Långp. (> 50 min)
Utanför gräns (> 45 min)