Sökresultat för "Pragmatisk"

Voi Technology

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

Coupang

Senior Staff/Staff Machine Learning Engineer-BJ/SH Company Introduction We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce. We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the sped we have been at since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day. Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. As a Senior Staff Machine Learning Engineer in Search and Discovery, you will leverage the most advanced algorithms to improve Coupang’s product search and discovery quality. You will spearhead the integration of Large Language Models (LLMs) and Generative AI to revolutionize our core search pipeline—including query understanding, product understanding, semantic retrieval, and final-stage ranking. You are expected to be a leading expert in one or multiple areas including information retrieval, recommendation systems, machine learning, deep learning, or natural language processing. The ideal candidates are pragmatic, resourceful, embrace seemingly impossible challenges, and have a proven track record of deploying high-scale, low-latency AI solutions in production.   What You Will Do * System Diagnostics: Root cause the bottlenecks of the current search and recommendation systems and quantify the defects across the entire search funnel (query rewriting/ retrieval/ranking). * State-of-the-Art Solutions: Propose and architect end-to-end solutions that leverage advanced ML, DL, and Generative AI/LLMs to upgrade traditional search components into AI-native architectures. * Core Funnel Optimization with LLMs: * Query Understanding: Build next-generation query understanding services (intent detection, query rewrite, semantic expansion, entity extraction) utilizing fine-tuned LLMs. * Candidate Retrieval: Design and scale semantic/dense retrieval systems, combining traditional vector search (ANN) with generative retrieval techniques. * Ranking & Reranking: Develop and optimize LLM-based listwise/pairwise reranking models, and tackle performance trade-offs (latency, cost, throughput) for real-time serving. * Production & Evaluation: Implement solutions, optimize offline/online inference performance (using model distillation, quantization, vLLM/TensorRT), and conduct rigorous A/B tests. * Technical Leadership: Be a thought leader, mentor senior engineers, and gain consensus across cross-functional organizations (Infrastructure, Platform, Product) to drive the search AI roadmap. *   Example Projects Include * LLM-Powered Query Understanding: We train and fine-tune in-house LLMs to perform multi-task query tagging, real-time query rewriting/expansion, and precise intent categorization. * Generative & Semantic Retrieval: We use deep representation learning, two-tower models, and LLM-generated semantic embeddings combined with vector databases (e.g., Milvus, Vespa) for hyper-accurate candidate retrieval. * LLM Reranking & Distillation: We explore listwise and pairwise LLM reranking models to evaluate query-item relevance, while distilling their reasoning capabilities into smaller, sub-millisecond models for real-time serving. * Deep Conversion & Personalization: We build Deep Learning-based conversion prediction models ($CVR$) incorporating real-time user state, query intent, and multi-modal product representations. * Graph-based Relationships: We leverage graph neural networks (GNNs) and knowledge graphs to ground our LLMs, exploring latent relationships between query sessions and catalog documents. Basic Qualifications * 10+ years of professional experience in related fields including Search, Information Retrieval, RecSys, ML, DL, or NLP. * Solid software engineering foundation with proficient coding skills in Python, C++, or Java. * Distributed Systems Experience: Proven experience handling large data volumes, training large-scale models, and serving high-QPS pipelines in distributed environments (e.g., Spark, Ray, Kubernetes). * Pragmatic Problem Solver: Demonstrated ability to take ambiguous business problems, formulate them mathematically, and deliver production-grade ML solutions. * Education: Master’s Degree in Computer Science, Data Science, or related engineering fields. Preferred Qualifications * LLM & GenAI Expertise: Deep hands-on experience in fine-tuning (SFT, LoRA), aligning (RLHF/DPO), or distilling LLMs specifically for search, recommendation, or NLP tasks (e.g., query expansion, dense retrieval, reranking).

Agoda

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.   About the Team The People Team at Agoda is committed to attracting, developing, and retaining exceptional talent from across the globe. We work to create an inclusive, high-performing, and engaging environment where employees can grow, contribute meaningfully, and do their best work. Through a strong focus on people experience, service quality, and business partnership, we help Agoda scale while preserving what makes our culture distinctive.  Within the People Team, the People Experience and Services function is responsible for designing and delivering critical people experiences, services, and operating foundations that support employees and managers across the employee lifecycle. This includes enabling smooth onboarding and mobility experiences, delivering effective workplace and office services, and ensuring employees have access to timely, trusted, and high-quality support when they need it.  At the center of this model sits People Services & Help Desk — Agoda’s front door for People support — supported by specialist service teams such as People Relations Services. Together, these teams play a critical role in how employees and managers experience the People function day to day: through clear guidance, responsive support, effective issue resolution, and trusted handling of sensitive people matters.  Opportunity  We are looking for an Associate Director, Head of People Services & Help Desk to lead Agoda’s employee-facing People service delivery model across People Help Desk / Tier 1 support, Tier 0 / self-service foundations, and Global People Relations Services.  This is a key leadership role within People Experience and Services, responsible for shaping how employees and managers access support across a wide range of People topics — from day-to-day HR questions and lifecycle support to more complex and sensitive employee matters requiring specialist intervention.  In this role, you will lead the teams responsible for:  * People Help Desk / Tier 1 services  * Tier 0 / self-service and knowledge foundations  * Global People Relations Services, including case governance and specialist support for complex employee relations matters  You will own the effectiveness of Agoda’s People support model from the employee and manager perspective, ensuring it is clear, trusted, scalable, and increasingly insight-driven. This includes strengthening service standards, improving routing and handoffs across teams, enabling greater self-service, and ensuring sensitive employee matters are handled with appropriate quality, consistency, and governance.  This role is ideal for a leader who combines strong service delivery and operational leadership with sound judgment, systems thinking, and the ability to build a modern, scalable People support model in a global, fast-moving organization.  This position is based in Bangkok. Agoda provides relocation support for successful candidates who are not currently located in Bangkok. Please note that we are not open to remote work or the possibility of being based in other locations.  What you’ll do  Lead Agoda’s People Services front door and employee support model * Lead Agoda’s employee-facing People Services model across Tier 1 Help Desk support, Tier 0 self-service, and the interface into specialist support teams.  * Define and evolve how employees and managers access support across People topics, ensuring a clear, seamless, and trusted experience.  * Establish strong service principles, operating rhythms, and leadership across the teams responsible for day-to-day People support and complex employee issue resolution.  * Ensure Agoda’s People support model scales effectively with organizational growth, complexity, and global reach.  Lead the People Services & Help Desk team * Lead, manage, and develop the People Services & Help Desk team to deliver high-quality, consistent, and empathetic Tier 1 support across core HR topics such as policies, processes, employee data, benefits, onboarding, leaves, mobility, and general employee lifecycle support.  * Set service standards, KPIs, quality expectations, and operating controls to ensure timely, accurate, and compliant case handling.  * Build a strong service culture with clear accountability for employee experience, right-first-time resolution, responsiveness, and professionalism.  * Oversee workforce planning, capacity management, and prioritization across service demand, seasonal peaks, and new People initiatives.  Lead Global People Relations Services * Lead the Global People Relations Services team, ensuring high-quality and well-governed support across complex employee matters such as performance concerns, misconduct, grievances, investigations, disciplinary actions, involuntary exits, and employee matters arising from organizational change.  * Ensure clear service ownership, escalation pathways, and governance across People Relations case handling.  * Partner closely with HR Business Partners, Legal, Compliance, and other relevant stakeholders to ensure people relations matters are handled fairly, consistently, pragmatically, and in line with internal policies and local legal requirements.  * Drive high standards in case management, documentation, risk identification, and decision quality across the People Relations team.  * Use case trends and themes to inform improvements in manager guidance, policy design, service processes, and broader practices.  Own the operating interfaces across Tier 1, People Relations, and specialist teams * Serve as the senior operational owner for how work flows between Help Desk / Tier 1, People Relations Services, and other Tier 2 / specialist teams across the People organization.  * Define and continuously improve routing logic, escalation models, intake criteria, handoffs, service ownership, and resolution pathways.  * Ensure employees and managers experience a joined-up service model even when multiple People teams are involved.  * Clarify roles and interfaces across Help Desk, People Relations, Payroll, Rewards, Mobility, People Partners, CoEs, and other specialist teams.  Build Tier 0 / self-service and knowledge management foundations * Develop and execute Agoda’s roadmap for Tier 0 / self-service, moving the organization toward more proactive, intuitive, and self-directed resolution of common People queries.  * Own and strengthen the People knowledge ecosystem, including FAQs, help content, decision trees, agent guidance, and employee-facing support materials.  * Partner with policy owners and People SMEs to simplify complex topics into clear, scalable, and user-friendly content.  * Drive case deflection, knowledge reuse, content governance, and self-service adoption through disciplined measurement and continuous improvement.  Enable digital, conversational, and AI-supported service delivery * Partner with Product, Tech, Systems, and Data teams to improve People support platforms, workflows, and user journeys across self-service and case management.  * Identify and help shape practical use cases for conversational and agentic AI within People Services, ensuring they enhance employee experience and complement human support.  * Provide leadership input into the design, testing, rollout, and continuous refinement of AI-enabled and digital service solutions.  * Ensure appropriate controls, privacy, escalation paths, and trust mechanisms are in place for all digital and AI-supported support channels.  Drive operational excellence and continuous improvement * Monitor and improve key service performance metrics across Help Desk and People Relations Services, such as case volume, first contact resolution, time to resolution, service quality, customer satisfaction, escalation rates, re-open rates, and self-service deflection.  * Lead ongoing improvements in workflows, playbooks, standard responses, training, quality assurance, and reporting.  * Partner with People Service Excellence and other stakeholders to simplify processes, remove friction, and improve end-to-end employee and manager experiences.  * Ensure effective controls, compliance, documentation standards, and data privacy practices are embedded across service operations.  Lead through insight, stakeholder partnership, and change * Act as the senior People Services contact for service performance, priorities, risks, and transformation opportunities.  * Provide regular insight and reporting to People leaders on service trends, root causes, organizational pain points, and improvement opportunities.  * Partner with Communications and relevant People teams to coordinate messaging around policy changes, process updates, and new tools or services.  * Support broader People transformation by bringing an employee-service lens to operating model design, simplification, and capability building across the function.   What you’ll need to succeed  * Bachelor’s degree in business, Human Resources, Operations, Law, Psychology, or a related field; advanced degree is a plus.  * Typically, 10+ years of relevant experience across HR shared services, employee services, People operations, employee relations, HRBP, service delivery, or related functions, including significant leadership experience.  * Demonstrated experience leading managers and/or multiple service teams in a complex, matrixed, and fast-paced environment.  * Strong experience running a service or support function with clear accountability for quality, responsiveness, service design, and stakeholder experience.  * Strong understanding of multi-tier service delivery models, including Tier 0 / self-service, Tier 1 support, and specialist / Tier 2 case management.  * Meaningful exposure to employee relations or complex people issue resolution, with sound judgment on sensitive matters and a strong appreciation for governance, risk, and consistency.  * Strong skills in service design, operating model improvement, process improvement, and cross-functional workflow design.  * Experience with HR technology platforms and service tools such as HRIS, case management systems, knowledge bases, and digital support tools.  * Demonstrated ability to use data and analytics to monitor performance, identify themes and root causes, and drive prioritization and decision-making.  * Excellent stakeholder management and communication skills, with the ability to build trust and influence across leaders, specialist teams, and cross-functional partners.  * Strong people leadership capability, including coaching leaders and managers, building team capability, and creating a high-performance, service-oriented culture.  * Comfort operating in a global, evolving, and ambiguous environment, with a strong bias for execution, improvement, and scale.   It’s great if you also have  * Experience in a global or regional HR shared services / People services environment.  * Experience leading both broad employee support teams and specialist employee relations or case management teams.  * Experience in knowledge management, service content strategy, and self-service adoption.  * Hands-on exposure to conversational AI, chatbots, virtual assistants, or workflow automation in HR or customer support environments.  * Experience improving employee experience through service redesign, process simplification, or digital product thinking.  * Experience in a high-growth tech, internet, or digital business.  * Familiarity with global organizations operating across multiple countries, cultures, and regulatory environments.   Why this role matters  This role is a unique opportunity to shape how Agoda employees and managers experience People support at scale. From everyday HR queries to more complex and sensitive employee matters, the teams in this scope play an important role in making sure our people feel supported, informed, and able to navigate key moments in their Agoda journey with confidence.  As Associate Director, Head of People Services & Help Desk, you will help build a more connected, scalable, and future-ready support model, improving service quality, strengthening self-service, and ensuring complex cases are handled with care and consistency. Your work will directly influence employee experience, manager effectiveness, and how the People function continues to evolve as Agoda grows globally.  #PeopleServices #HRSharedServices #Singapore #Singapore #London #England #HongKong #HongKong #Berlin #Germany #Paris #France #Tokyo #Japan #Shanghai #China #Beijing #China #Sydney #Australia #KualaLumpur #Malaysia #Bangkok #Thailand #Seoul #SouthKorea #Amsterdam #Netherlands #Dublin #Ireland #Barcelona #Spain #Madrid #Spain #Warsaw #Poland #Prague #CzechRepublic #Budapest #Hungary #Dubai #UnitedArabEmirates #Bangalore #India #Bengaluru #India #Hyderabad #India #NewDelhi #India #Delhi #India #Gurgaon #India #Gurugram #India #Noida #India #Mumbai #India #Pune #India #Chennai #India #Jakarta #Indonesia #Manila #Philippines #HoChiMinhCity #Vietnam #Hanoi #Vietnam #Taipei #Taiwan #Shenzhen #China #Munich #Germany #Zurich #Switzerland     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.

Agoda

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.   About the Team The People Team at Agoda is committed to attracting, developing, and retaining exceptional talent from across the globe. We work to create an inclusive, high-performing, and engaging environment where employees can grow, contribute meaningfully, and do their best work. Through a strong focus on people experience, service quality, and business partnership, we help Agoda scale while preserving what makes our culture distinctive.  Within the People Team, the People Experience and Services function is responsible for designing and delivering critical people experiences, services, and operating foundations that support employees and managers across the employee lifecycle. This includes enabling smooth onboarding and mobility experiences, delivering effective workplace and office services, and ensuring employees have access to timely, trusted, and high-quality support when they need it.  At the center of this model sits People Services & Help Desk — Agoda’s front door for People support — supported by specialist service teams such as People Relations Services. Together, these teams play a critical role in how employees and managers experience the People function day to day: through clear guidance, responsive support, effective issue resolution, and trusted handling of sensitive people matters.  Opportunity  We are looking for an Associate Director, Head of People Services & Help Desk to lead Agoda’s employee-facing People service delivery model across People Help Desk / Tier 1 support, Tier 0 / self-service foundations, and Global People Relations Services.  This is a key leadership role within People Experience and Services, responsible for shaping how employees and managers access support across a wide range of People topics — from day-to-day HR questions and lifecycle support to more complex and sensitive employee matters requiring specialist intervention.  In this role, you will lead the teams responsible for:  * People Help Desk / Tier 1 services  * Tier 0 / self-service and knowledge foundations  * Global People Relations Services, including case governance and specialist support for complex employee relations matters  You will own the effectiveness of Agoda’s People support model from the employee and manager perspective, ensuring it is clear, trusted, scalable, and increasingly insight-driven. This includes strengthening service standards, improving routing and handoffs across teams, enabling greater self-service, and ensuring sensitive employee matters are handled with appropriate quality, consistency, and governance.  This role is ideal for a leader who combines strong service delivery and operational leadership with sound judgment, systems thinking, and the ability to build a modern, scalable People support model in a global, fast-moving organization.  This position is based in Bangkok. Agoda provides relocation support for successful candidates who are not currently located in Bangkok. Please note that we are not open to remote work or the possibility of being based in other locations.  What you’ll do  Lead Agoda’s People Services front door and employee support model * Lead Agoda’s employee-facing People Services model across Tier 1 Help Desk support, Tier 0 self-service, and the interface into specialist support teams.  * Define and evolve how employees and managers access support across People topics, ensuring a clear, seamless, and trusted experience.  * Establish strong service principles, operating rhythms, and leadership across the teams responsible for day-to-day People support and complex employee issue resolution.  * Ensure Agoda’s People support model scales effectively with organizational growth, complexity, and global reach.  Lead the People Services & Help Desk team * Lead, manage, and develop the People Services & Help Desk team to deliver high-quality, consistent, and empathetic Tier 1 support across core HR topics such as policies, processes, employee data, benefits, onboarding, leaves, mobility, and general employee lifecycle support.  * Set service standards, KPIs, quality expectations, and operating controls to ensure timely, accurate, and compliant case handling.  * Build a strong service culture with clear accountability for employee experience, right-first-time resolution, responsiveness, and professionalism.  * Oversee workforce planning, capacity management, and prioritization across service demand, seasonal peaks, and new People initiatives.  Lead Global People Relations Services * Lead the Global People Relations Services team, ensuring high-quality and well-governed support across complex employee matters such as performance concerns, misconduct, grievances, investigations, disciplinary actions, involuntary exits, and employee matters arising from organizational change.  * Ensure clear service ownership, escalation pathways, and governance across People Relations case handling.  * Partner closely with HR Business Partners, Legal, Compliance, and other relevant stakeholders to ensure people relations matters are handled fairly, consistently, pragmatically, and in line with internal policies and local legal requirements.  * Drive high standards in case management, documentation, risk identification, and decision quality across the People Relations team.  * Use case trends and themes to inform improvements in manager guidance, policy design, service processes, and broader practices.  Own the operating interfaces across Tier 1, People Relations, and specialist teams * Serve as the senior operational owner for how work flows between Help Desk / Tier 1, People Relations Services, and other Tier 2 / specialist teams across the People organization.  * Define and continuously improve routing logic, escalation models, intake criteria, handoffs, service ownership, and resolution pathways.  * Ensure employees and managers experience a joined-up service model even when multiple People teams are involved.  * Clarify roles and interfaces across Help Desk, People Relations, Payroll, Rewards, Mobility, People Partners, CoEs, and other specialist teams.  Build Tier 0 / self-service and knowledge management foundations * Develop and execute Agoda’s roadmap for Tier 0 / self-service, moving the organization toward more proactive, intuitive, and self-directed resolution of common People queries.  * Own and strengthen the People knowledge ecosystem, including FAQs, help content, decision trees, agent guidance, and employee-facing support materials.  * Partner with policy owners and People SMEs to simplify complex topics into clear, scalable, and user-friendly content.  * Drive case deflection, knowledge reuse, content governance, and self-service adoption through disciplined measurement and continuous improvement.  Enable digital, conversational, and AI-supported service delivery * Partner with Product, Tech, Systems, and Data teams to improve People support platforms, workflows, and user journeys across self-service and case management.  * Identify and help shape practical use cases for conversational and agentic AI within People Services, ensuring they enhance employee experience and complement human support.  * Provide leadership input into the design, testing, rollout, and continuous refinement of AI-enabled and digital service solutions.  * Ensure appropriate controls, privacy, escalation paths, and trust mechanisms are in place for all digital and AI-supported support channels.  Drive operational excellence and continuous improvement * Monitor and improve key service performance metrics across Help Desk and People Relations Services, such as case volume, first contact resolution, time to resolution, service quality, customer satisfaction, escalation rates, re-open rates, and self-service deflection.  * Lead ongoing improvements in workflows, playbooks, standard responses, training, quality assurance, and reporting.  * Partner with People Service Excellence and other stakeholders to simplify processes, remove friction, and improve end-to-end employee and manager experiences.  * Ensure effective controls, compliance, documentation standards, and data privacy practices are embedded across service operations.  Lead through insight, stakeholder partnership, and change * Act as the senior People Services contact for service performance, priorities, risks, and transformation opportunities.  * Provide regular insight and reporting to People leaders on service trends, root causes, organizational pain points, and improvement opportunities.  * Partner with Communications and relevant People teams to coordinate messaging around policy changes, process updates, and new tools or services.  * Support broader People transformation by bringing an employee-service lens to operating model design, simplification, and capability building across the function.   What you’ll need to succeed  * Bachelor’s degree in business, Human Resources, Operations, Law, Psychology, or a related field; advanced degree is a plus.  * Typically, 10+ years of relevant experience across HR shared services, employee services, People operations, employee relations, HRBP, service delivery, or related functions, including significant leadership experience.  * Demonstrated experience leading managers and/or multiple service teams in a complex, matrixed, and fast-paced environment.  * Strong experience running a service or support function with clear accountability for quality, responsiveness, service design, and stakeholder experience.  * Strong understanding of multi-tier service delivery models, including Tier 0 / self-service, Tier 1 support, and specialist / Tier 2 case management.  * Meaningful exposure to employee relations or complex people issue resolution, with sound judgment on sensitive matters and a strong appreciation for governance, risk, and consistency.  * Strong skills in service design, operating model improvement, process improvement, and cross-functional workflow design.  * Experience with HR technology platforms and service tools such as HRIS, case management systems, knowledge bases, and digital support tools.  * Demonstrated ability to use data and analytics to monitor performance, identify themes and root causes, and drive prioritization and decision-making.  * Excellent stakeholder management and communication skills, with the ability to build trust and influence across leaders, specialist teams, and cross-functional partners.  * Strong people leadership capability, including coaching leaders and managers, building team capability, and creating a high-performance, service-oriented culture.  * Comfort operating in a global, evolving, and ambiguous environment, with a strong bias for execution, improvement, and scale.   It’s great if you also have  * Experience in a global or regional HR shared services / People services environment.  * Experience leading both broad employee support teams and specialist employee relations or case management teams.  * Experience in knowledge management, service content strategy, and self-service adoption.  * Hands-on exposure to conversational AI, chatbots, virtual assistants, or workflow automation in HR or customer support environments.  * Experience improving employee experience through service redesign, process simplification, or digital product thinking.  * Experience in a high-growth tech, internet, or digital business.  * Familiarity with global organizations operating across multiple countries, cultures, and regulatory environments.   Why this role matters  This role is a unique opportunity to shape how Agoda employees and managers experience People support at scale. From everyday HR queries to more complex and sensitive employee matters, the teams in this scope play an important role in making sure our people feel supported, informed, and able to navigate key moments in their Agoda journey with confidence.  As Associate Director, Head of People Services & Help Desk, you will help build a more connected, scalable, and future-ready support model, improving service quality, strengthening self-service, and ensuring complex cases are handled with care and consistency. Your work will directly influence employee experience, manager effectiveness, and how the People function continues to evolve as Agoda grows globally.  #PeopleServices #HRSharedServices #Singapore #Singapore #London #England #HongKong #HongKong #Berlin #Germany #Paris #France #Tokyo #Japan #Shanghai #China #Beijing #China #Sydney #Australia #KualaLumpur #Malaysia #Bangkok #Thailand #Seoul #SouthKorea #Amsterdam #Netherlands #Dublin #Ireland #Barcelona #Spain #Madrid #Spain #Warsaw #Poland #Prague #CzechRepublic #Budapest #Hungary #Dubai #UnitedArabEmirates #Bangalore #India #Bengaluru #India #Hyderabad #India #NewDelhi #India #Delhi #India #Gurgaon #India #Gurugram #India #Noida #India #Mumbai #India #Pune #India #Chennai #India #Jakarta #Indonesia #Manila #Philippines #HoChiMinhCity #Vietnam #Hanoi #Vietnam #Taipei #Taiwan #Shenzhen #China #Munich #Germany #Zurich #Switzerland     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.

Databricks

GAQ327R302 Databricks is seeking a seasoned compensation leader to serve as a Director, Compensation, driving strategic impact across the business while leading and developing a team of client compensation partners. Reporting to the VP, Total Rewards, this role is responsible for building and delivering best-in-class compensation programs that help attract, retain, and motivate world-class talent across Databricks. At Databricks, we don't believe compensation is just a number; it's a tool to recognize that every employee is an owner and a part of our success. We are looking for a leader who combines deep technical compensation expertise with exceptional people leadership and a passion for building scalable, equitable programs. THE IMPACT YOU WILL HAVE: This is a high-impact, people leadership role that will effectively cover the below areas and the anticipated time spent on each: * Leading, coaching, and developing a team of three to four client compensation partners (25%) * Partnering with the VP Rewards and other team members to drive  enterprise-wide compensation strategy, design, and program delivery (30%) * Collaboration with People team members, business leaders, and other cross-functional partners on complex, sensitive compensation matters (25%) * Operational excellence, tooling, and continuous improvement of compensation infrastructure (20%) WHAT WE LOOK FOR: COMPENSATION EXPERTISE * Know your craft — Deep mastery of job architecture, compensation frameworks, market pricing, year-end and midyear pay cycles, global compensation practices, and pay-for-performance design; demonstrated experience designing and scaling programs across a fast-growing, global organization * Know your data — Exceptional analytical horsepower with the ability to translate complex data into clear narratives, recommendations, and executive-ready insights; strong command of competitive trends in cash, equity, and total rewards; advanced capabilities in gSheets and Excel; proficiency in Tableau, SQL, Python, or AI-assisted analytics is a strong plus * Know the competition — Expert-level knowledge of tech compensation practices, particularly around equity strategy (new hire, refresh, and performance-based), and an ability to benchmark and evolve programs to stay ahead of the market * Be rational — Ability to hold the tension between compensation philosophy, first-principles reasoning, and pragmatic business solutioning; comfortable making and defending difficult tradeoffs in ambiguous situations PEOPLE LEADERSHIP * Develop talent — Proven track record of leading, mentoring, and growing a team of compensation professionals; ability to set a clear vision, delegate with confidence, and create an environment where the team does their best work * Drive accountability — Set clear goals and expectations, create feedback loops, and hold the team to a high bar while remaining a supportive and empowering manager * Model the craft — Remain hands-on where needed; serve as a thought partner and technical escalation point for your team on complex or high-stakes compensation decisions OPERATIONAL AND PARTNERSHIP EXCELLENCE * Build innovatively & scale effectively — Architect frameworks and solutions that address today's challenges while anticipating the needs of a rapidly scaling organization; champion consistency and repeatability without sacrificing flexibility * Leverage AI and automation — Define and execute a roadmap for next-generation compensation tooling and data infrastructure; actively leverage AI to improve market pricing, decision quality, manager enablement, and workflow efficiency; champion a culture of continuous improvement through technology * Operational capability — Connect the dots across systems, stakeholders, and programs to deliver compensation products and cycles with precision and at scale; ensure data, workflows, and governance are built to support compliant, scalable execution * Savvy collaborator — Partner closely with People Business Partners, Finance, Legal, and senior business leadership to understand, anticipate, and solve complex talent and business needs; navigate competing priorities and organizational dynamics to drive the best outcomes; serve as the compensation lead on M&A diligence and integration activities * Trusted advisor — Serve as a credible, senior voice on the most sensitive and consequential compensation decisions across the company, including executive offers, critical retention situations, organizational restructuring, and cross-functional pay equity matters; bring sound judgment and data-backed recommendations every time WHAT YOU'LL BRING * 10+ years of progressive compensation experience, with at least 3 years in a people management role leading a team of compensation professionals * Deep experience in the tech sector — preferably at a high-growth private or pre-IPO company — with a strong grasp of how compensation strategy evolves across different stages of scale * Proven ability to design and deliver enterprise-wide compensation programs (year-end cycles, midyear, equity refresh, promotions) across a global, distributed workforce * Track record of operating as a senior business partner to founders, executives, and People leadership on high-stakes, time-sensitive compensation decisions * Demonstrated experience using data and analytics to drive compensation decisions; comfort with tools like gSheets, Excel, and ideally Tableau, SQL, or Python   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 $218,100—$299,850 USD Zone 2 Pay Range $196,200—$269,850 USD Zone 3 Pay Range $185,400—$254,850 USD Zone 4 Pay Range $174,500—$239,900 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.

Databricks

GAQ127R55 Location: We're looking to hire for this role in our Singapore, SG office. This will be a hybrid role with in-office expectations. About the Role: Databricks is looking for an experienced commercial attorney to join our growing commercial legal team focused on supporting our Asia field teams and providing ad hoc support to GTM and bespoke new-market entry support in the region (as needed). You will be a key player in reviewing and negotiating customer agreements and providing legal support for Databricks' revenue-generating and commercialization activities across Asia. You will report to the Sr. Director & AGC, Commercial Legal. You have 6+ years of relevant commercial legal transactional experience with a focus on complex technology transactions within the Asia market. You possess meaningful experience negotiating SaaS commercial transactions and strong knowledge of legal issues related to data privacy, information security, artificial intelligence, and intellectual property. The Impact You Will Have: * Revenue Enabler: Become a vital member of the commercial legal team responsible for negotiating enterprise-level cloud service agreements. You will ensure that risk oversight is effectively integrated and balanced with Databricks’ ambitious business objectives, in further enabling continued rapid revenue growth in the region.  * Strategic Partner: Cultivate strong relationships with the field sales team by providing sound, strategic counsel to close complex sales transactions. * Policy Architect: Help maintain and update our legal templates to ensure compliance with evolving provincial and federal laws while supporting global consistency. * Subject Matter Expert: Serve as a pragmatic business partner, providing legal counsel on Databricks’ technology, product portfolio, and security/compliance architecture, especially as they relate to local compliance standards. * Cross-Functional Collaborator: Partner and work closely with Finance, Information Security, and Product teams to align and enforce global contracting processes and policies within the context of local business norms. What We Look For: * Experience: Minimum of four (6) years of technology transactions experience, either at a top-tier law firm and/or in an in-house role at a high-growth SaaS company. * Asia Market Expertise: Demonstrated experience drafting and negotiating cloud software sell-side transactions successfully with enterprise companies across Asia, including a deep understanding of data privacy, public sector, and data sovereignty requirements across the region. * Enterprise Software Business Model: Relevant experience with cloud-based software, consumption, and commit-based business models, and the nuances of the quarterly/fiscal year sales cadence. * Negotiation Skills: Proven ability to successfully navigate, objection handle complex legal issues involving information security, AI, and intellectual property (including open-source software). * Agility: Ability to prioritize competing demands and remain responsive in a fast-paced, high-pressure environment. * Communication: Outstanding written and verbal communication skills; foreign language fluency is considered a significant plus. * Education & Qualifications: LL.B. or J.D. from a recognized law school, qualified to practice law in SG. 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.

Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Principal Security Software Engineer in the Enterprise Security team, you will advance Roblox's Enterprise Security strategy by building the systems and integrations that protect Roblox's corporate infrastructure. Where traditional security engineers evaluate and deploy vendor solutions, you will design and build production-grade security software - Identity and Access governance, policy enforcement engines, and security integrations that scale with Roblox's business. You'll partner with security professionals across InfoSec and work cross-functionally with Corporate Engineering, DevOps, and Product teams to drive security initiatives. YOU WILL: * Build identity and access systems: Design, implement, and own integrations across Roblox's IAM ecosystem, including SSO federation, SCIM provisioning/deprovisioning pipelines, OAuth 2.0 authorization servers, and token lifecycle management. * Lead security automation: Develop production-quality tools and services that enforce security policies at scale, replace manual workflows, and surface actionable signals * Drive secure-by-design implementations: Partner with Corporate Engineering, DevOps, and product teams to embed security controls into enterprise systems and developer workflows. * Evaluate and extend vendor platforms: Assess commercial IAM and security tooling, then build the custom integrations, connectors, and automation layers that make them work at Roblox's scale. YOU HAVE: * Deep understanding of Human and Machine Identity and Authentication protocols like OAuth 2.0, SCIM 2.0, SAML 2.0, Transaction tokens, FIDO2/WebAuthn and Passkeys, SPIFFE/SPIRE * Experience with one or more policy-as-code or authorization frameworks (OPA/Rego, Cedar, Zanzibar/ReBAC) * Proficiency in at least one systems or backend language: Python, Go, Rust  * Proficiency with security-relevant system design: session management, audit logging, rate limiting, secret storage * Experience in Threat modeling for authentication and authorization systems * Understanding of Zero trust architecture and least-privilege access patterns * 10+ years of relevant professional experience combining SWE and security YOU ARE: * Engineer First: You approach problems with code and systems thinking, building reliable security platforms that engineering teams can depend on * Protocol Fluent: You have hands-on experience implementing identity standards and can navigate RFC-level details to debug complex authentication and authorization issues. * Collaborative: You love working with your direct team and cross-functional partners across engineering, DevOps, and business teams to deliver security outcomes without slowing them down. * Strategic Thinker: You define clear technical requirements and assess commercial solutions to inform build vs. buy decisions, balancing security rigor with engineering pragmatism. * Comfortable with Ambiguity: You gather data, navigate complex situations, and make sound technical decisions even when facing incomplete information or unclear requirements. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $385,050—$443,200 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Why Reliability? Roblox serves over 100 million people every day across a platform that is constantly evolving — and behind every experience is infrastructure that has to work, every time, at massive scale.  The Reliability team at Roblox operates at the depth and breadth of the Roblox stack.  Availability of the platform is a key company goal.  We are hiring our first Senior Machine Learning engineer within our team.   As a Senior Machine Learning Engineer within Reliability,  you will help set the direction for how machine learning systems/practices can be leveraged to improve the reliability of the overall Roblox platform.  You will own the architectural and execution roadmap of leveraging massive data across  - logs, traces, metrics, production changes, to proactively detect issues before they become real problems (MTTD) and/or reduce time to resolve incidents (MTTR).  You will have the opportunity to cross functionally collaborate with other similar teams at Roblox to define best practices and software. You will: * Help define the roadmap for leveraging Machine Learning Engineering to improve Production Systems Reliability at Roblox. * Improve realtime anomaly detection capabilities by leveraging various state of the art ML techniques, thereby directly contributing to improving Mean Time to Detect Production issues. * Develop methods to build pipelines to consume various streams of data (metrics, logs, traces, change management systems etc.). * Build a reasoning layer that interacts with the streams of data to find possible root causes of problems happening in production. * Build time-series models to predict capacity exhaustion and seasonal traffic spikes to drive automated scaling You have: * Beyond off the shelf:  We are looking for an expert who has knowledge of various modeling techniques, ability to to go deep and fine tune models to fit our use cases. * Ability to propose and architect the infrastructure that allows us to implement systems that learn from user and/or automated feedback. * Good distributed systems fundamentals and understanding of large scale high throughput systems You are: * Comfortable with Ambiguity: You thrive in undefined or open-ended problem spaces, providing structure, clarity, and decisive direction to your teams. * A Pragmatic Builder: You are scrappy and impact-oriented. You view undefined data and messy systems as opportunities to build structure rather than blockers to progress. * An Executive Communicator: Highly effective at communicating complex technical concepts to both engineering teams and non-technical executive leadership. * Data & System Oriented: You understand that robust data and systems are the foundation of any production application, and you design infrastructure for scale, correctness, and reliability. * Curious & Creative: You enjoy tackling hard problems, exploring new technologies, and driving continuous improvements in both systems and workflows. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $196,750—$243,290 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Roblox

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.  At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.  A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. You'll build the agentic AI system that powers creation for millions of Roblox creators. The Assistant team is converging Studio Assistant (desktop) and Build (mobile) into a single cloud-native architecture — one harness, one tool set, one eval framework. You'll work across the full stack: cloud orchestration, LLM integration and model routing, tool/skill execution, and the creator-facing client. The system orchestrates multi-step creation workflows end-to-end: planning, code generation, asset creation, and automated testing. You Will: * Help and understand the needs of the community that uses our software, from beginning artists to professional scripters and designers. * Take ownership and responsibility for designing, building, testing, and deploying services within the Roblox ecosystem. * Work on a variety of unique technical challenges within complex systems. * Be a technical bar-raiser for high code quality, architectural designs, and long-term planning. * Develop fellow engineers on the team. You Have: * 5+ years of experience shipping high-complexity software and supporting mission-critical applications at scale. * Experience architecting, designing, and leading implementation across a wide range of software products and systems. * Experience building AI infrastructure, including systems for model serving, orchestration, reliability, and production observability. * Familiarity with agentic systems and multi-step execution loops, including planning, tool use, recovery, and long-running workflows. * Understanding of tools, skills, and evaluation frameworks for AI systems, including how to design reliable tool interfaces, improve capability coverage, and measure quality through structured evals. * Expertise in component-based libraries and frameworks, with a strong grasp of building performant, high-quality user experiences. * Proficiency in C++, C#, Java, or similar programming languages. * Strong understanding of SQL and NoSQL systems at scale. * Deep understanding of the components required to build modern large-scale infrastructure, with the judgment to evaluate tradeoffs, recommend pragmatic solutions, and align engineers around a direction. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $196,750—$243,290 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Databricks

P-1107 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 missions. Customers trust Databricks with their most valuable data, and Trust & Safety has the mission to build the most trusted Data and AI platform in the world. Identity and Access Management (IAM) is at the heart of this mission, ensuring that the right users and services have the right access at the right time. We are looking for an Engineering Manager to lead our IAM team and define the strategy for how authentication, authorization, and identity services are built and scaled across our platform. You will lead a team owning foundational services that must be highly reliable, secure, and fast under extreme load. The impact you will have: * Define and drive the strategy for IAM systems, including authentication and access control. * Build and scale a high-performing engineering team focused on authentication, authorization, and identity management at cloud scale. * Provide technical oversight on architecture and design for IAM components that can operate at massive scale, with high requirements for reliability, security, and performance. * Partner with engineering and product leaders across Databricks to embed secure, scalable identity solutions into every aspect of our product. * Ensure regulatory compliance and alignment with industry best practices for IAM, helping customers meet their own governance, privacy, and security needs. * Attract and grow top engineering talent, building a team culture that emphasizes innovation, collaboration, and customer trust. What we look for: * 9+ years of professional experience in software engineering, with 2+ years of engineering leadership experience in a fast paced, dynamic environment. * Experience building large-scale distributed systems with high availability and security requirements. * Strong track record building and managing high-performing teams, including experience scaling organizations through multiple phases of growth. * Proven success driving cross-functional security initiatives and influencing leaders without direct authority. * Ability to provide technical direction at the architecture level while fostering a pragmatic execution mindset. * Strong communication and leadership skills, with the ability to evangelize IAM practices and inspire both teams and stakeholders. * BS, MS, or PhD in Computer Science or a related technical field.   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 $190,000—$261,250 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.

Databricks

P-1107 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 missions. Customers trust Databricks with their most valuable data, and our Trust & Safety organization has the mission to build the most trusted Data and AI platform in the world. We are looking for a Senior Engineering Manager to lead foundational teams within Trust and Safety and define the strategy for how our core platform services are built and scaled. You will lead teams owning critical infrastructure and services that must be highly reliable, secure, and fast under extreme load. The impact you will have: * Define and drive the strategy for foundational systems operating at cloud scale. * Build and scale a high-performing engineering team focused on large-scale distributed architecture, reliability, and security. * Provide technical oversight on architecture and design for components that can operate at massive scale, with high requirements for reliability, security, and performance. * Partner with engineering and product leaders across Databricks to embed secure, scalable solutions into every aspect of our product. * Ensure alignment with industry best practices, helping customers meet their own governance, privacy, and security needs. * Attract and grow top engineering talent, building a team culture that emphasizes innovation, collaboration, and customer trust. What we look for: * Experience in software engineering, with significant engineering leadership experience in a fast-paced, dynamic environment. * Experience building large-scale distributed systems with high availability and complex requirements. * Strong track record building and managing high-performing teams, including experience scaling organizations through multiple phases of growth. * Proven success driving cross-functional initiatives and influencing leaders without direct authority. * Ability to provide technical direction at the architecture level while fostering a pragmatic execution mindset. * Strong communication and leadership skills, with the ability to inspire both teams and stakeholders. * BS, MS, or PhD in Computer Science or a related technical field.   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 $228,600—$314,250 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.

Databricks

RDQ427R109   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 Intelligence 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.   As one of the first engineers in the NYC Engineering office, you'll join a small, nimble team building new products from the ground up. We're building CustomerLake, the Customer Data Platform on Databricks, to bring enterprise-grade ML and AI personalization to every company whose data already lives on Databricks. The best B2C and B2B brands have historically relied on in-house ML/AI teams to power personalization, recommendations, churn and lifetime-value modeling, and audience targeting. Our goal is to deliver that same capability to companies that don't have an in-house team but already have their data in order on Databricks. This is a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks.   The impact you'll have: * Evaluate ML and LLM approaches for CustomerLake's personalization use cases, push the models and algorithms forward, and continuously improve quality over time * Go deep on how models behave in production: inspect individual traces, understand how the models reason, and tune and improve from there * Build the platform and evaluation framework that let CustomerLake customers optimize for real business value such as purchases, retention, and product usage, not vanity metrics like email opens and clicks * Push the team toward new directions and novel methods worth tackling, not just optimizing what already exists * Partner closely with product management, engineering, and design to turn ambiguous customer problems into scalable, trustworthy solutions * Set the technical foundation and best practices for our ML/AI personalization work as we grow this into several roles across our products over the next 1-2 years   What we look for: * 10+ years of engineering experience, with a strong foundation across the full loop of shipping and improving ML/AI products * Hands-on experience building and evaluating ML models and/or LLM systems for real product or business use cases; your understanding is practical, not purely academic, and you can make models work well inside a product * Experience with personalization based on customer behavior (ideal) or transactions (acceptable), such as recommendations, targeting, churn, or lifetime-value modeling * Proficiency in Python and modern ML frameworks (e.g., PyTorch), with hands-on experience in model evaluation and monitoring AI quality in production * Familiarity with LLMs and generative AI, including techniques like retrieval-augmented generation (RAG), prompt design, fine-tuning, and evaluation * A demonstrated product mindset, with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback * High ownership and bias for action in 0-to-1 environments: comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption   Nice to have: * Experience in martech, ideally a go-to-market or business use case with an analytical (rather than purely transactional) angle * An academic or research background that can help us innovate and develop novel methods     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.

Databricks

STAFF SOFTWARE ENGINEER - AGENT QUALITY P-1215 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 platform so our customers can focus on the high-value challenges that are central to their own missions. The Databricks AI Research organization is pushing the frontier of next-generation enterprise AI. We believe a company's data is its greatest competitive advantage, and we're building the models and agents that unlock it. Our work spans the full stack, from model training to advanced multi-agent systems.  As a Staff Software Engineer - Agent Quality, you will be a founding member of a new team focused on evaluating and continuously improving Databricks' AI Agents. You will design and scale the infrastructure, tooling, and developer workflows that let researchers and engineers evaluate agents rigorously — driving a flywheel where evaluation results feed directly back into agent improvement across the full lifecycle, from development and training to production. THE IMPACT YOU WILL HAVE * Stand up the foundational evaluation infrastructure for Genie Agents, enabling rigorous benchmarking, regression detection, and quality measurement across research and product teams. * Build the flywheel that connects evaluation results back into agent improvement — closing the loop between production signals, training, and iterative development. * Shape the long-term technical direction for agent quality infrastructure, with real influence over how Databricks measures and improves its first-party agents and agent development platform. * Help shape the long-term technical direction for agent quality infrastructure as Databricks expands its first-party agents and agent development platform. WHAT WE LOOK FOR * 6+ years industry experience building software systems * Strong Python programming skills, with experience building production or research infrastructure * Experience building or operating distributed systems, data pipelines, or large-scale infrastructure with a focus on reliability, correctness, and operational maturity * Ability to design pragmatic but rigorous systems that produce trustworthy, reproducible signals for complex applications * Comfort working across ambiguous research and product boundaries, and partnering with both researchers and engineers to turn ideas into robust internal platforms * A high bar for technical quality, strong ownership, and the ability to influence roadmap and execution across multiple teams NICE TO HAVE * Experience with devtools, CI/CD platforms, testing frameworks, observability tooling, or benchmarking infrastructure * Familiarity with how LLM or agent quality is measured — whether through evals, experimentation platforms, or production monitoring   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 $190,000—$270,000 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.

Databricks

P-1607 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. As one of the first engineers in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks.    The impact you'll have: * Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency * Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth * Lead by example with hands-on full-stack software development to create dynamic, user-centric experiences * Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities * Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers * Define and drive the strategy for building end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliable, and performant. What we look for: * 10+ years of experience with HTML, CSS, and JavaScript * Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback. * You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app * High ownership and bias for action in 0→1 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption. * Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives.   * Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember) * 10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go) * Proven experience building and shipping end-to-end generative AI products, ideally with a significant UI/UX component * Proven experience building and shipping end-to-end generative AI products * Deep familiarity with LLMs and generative AI, including hands-on experience with techniques like retrieval-augmented generation (RAG), prompt design, evaluation, and monitoring AI quality and safety in production.   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 $190,900—$253,750 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.

Databricks

STAFF SOFTWARE ENGINEER - AI RESEARCH INFRASTRUCTURE P-1215 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 platform so our customers can focus on the high-value challenges that are central to their own missions. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. Job Description As a Staff Software Engineer, AI Research Infrastructure, you will be developing and running the research stack that powers Databricks AI Research. You will design and build services that schedule, orchestrate, and observe large‑scale training and inference experiment workloads across thousands of GPUs, improve our dev tooling and ensure that researchers can iterate quickly without sacrificing reliability, efficiency, or security. You’ll partner closely with research scientists, ML engineers, and platform teams to turn experimental workloads into robust, repeatable pipelines, and to push the limits of what our infrastructure can support. The Impact you will have As a Staff Software Engineer on the AI Research Infra Team at Databricks, you will:  * Design and implement infrastructure that supports large‑scale experiments, data processing, and model training (e.g., HPC clusters, GPU fleets, or cloud‑based systems) * Enable researchers to go from idea to large‑scale experiment in minutes, not days, by building powerful abstractions for job submission, scheduling, and monitoring. * Create tooling that improves research developer productivity, such as experiment management systems, CI/testing infrastructure for research code, and workflows that reduce iteration time. * Influence the long‑term roadmap for research computation, shaping how Databricks AI Research train, evaluate, and ship models to customers. * Serve as a technical mentor and force multiplier for other engineers working on compute, infra, and AI systems. What We Look for * BS/MS or PhD in Computer Science or related field * 5+ years of software engineering experience, including substantial time working on large‑scale distributed systems or infrastructure. * Have deep experience with building and operating distributed systems, data pipelines, or large‑scale backend services, ideally involving GPUs, clusters, or major cloud providers. * Are proficient in one or more systems programming languages (e.g., C++, Rust, Go, Java, Scala) and can design, implement, and debug complex services. * Have built or significantly contributed to cluster schedulers, resource managers, or large‑scale job orchestration systems (e.g., Kubernetes, Slurm, Ray, custom internal systems). * Understand modern ML training and inference workflows (e.g., distributed training, model parallelism, fine‑tuning, evaluation), even if you’re not primarily a research scientist. * Can move fast and be pragmatic in getting things done, while caring about operational excellence. Have driven complex systems from prototype to stable, well‑owned services. * Communicate clearly with both researchers and engineers, and enjoy translating between research needs and infra realities.   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 $199,000—$270,000 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.

Databricks

P-1980 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 Intelligence 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. As one of the first engineers in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data & AI to deliver vertical AI applications for both technical and business users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks.     The impact you’ll have: * Create novel, never-seen-before interfaces for GenAI agents that manage complex workflows while keeping the human in the loop through inspectability and transparency * Partner closely with product management, design and other engineering teams to build intuitive and extensible products that drive user & business growth * Lead by example with hands-on front-end and full-stack software development while working with customers directly to create dynamic, user-centric experiences * Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities * Direct the future of intuitive agentic applications at Databricks, in collaboration with cross-functional teams of innovative software engineers, product managers, and designers   What we look for: * 10 years of experience with HTML, CSS, and JavaScript or similar technologies * Demonstrated product mindset with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback. * You care that AI features feel intuitive, trustworthy, and helpful, not just bolted on to an existing app * High ownership and bias for action in 0→1 environments: you are comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption. * Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives.   * Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember) * Familiarity with server-side web technologies (eg Node.js or similar), SQL and Spark   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 $190,900—$253,750 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.