Sökresultat för "Industrial Data Communications"

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We seek a highly specialised technical Senior Security Architect (SA) who practices security with an obsession for helping customers design and implement the best security mechanisms, particularly those that would relate to the Snowflake AI & Data Cloud. At Snowflake, Security Architects are passionate about security, often involving tremendous technology challenges that require no simple solutions. Success requires working collaboratively with a broad range of people inside and outside the company. Operating out of our APJ Field CTO Office, you will serve as our primary South Korean Security expert, who will be a cloud compliance evangelist, technical architect, and hands-on practitioner. This specialized role bridges the gap between global cloud data architecture and South Korea’s rigorous, localized regulatory frameworks, specifically the Cloud Security Assurance Program (CSAP) and the Korea Financial Services Institute (K-FSI) Safety Evaluation. IN THIS ROLE YOU WILL GET TO: * Help to scope security related feature enhancements on behalf of customers to work with Product Management and Engineering on ways to enhance requirements for the local market. * Help drive Snowflake adoption by advising customers and engineering teams on how to build secure Korea-compliant Data and AI architectures, ensuring Snowflake implementations respect strict localization and regional access controls. * Collaborate with cross-functional teams, including Sales, Product, Engineering, Marketing, and Support in order to drive customer security feature adoption. * Partner with our Product Marketing team to define and support Snowflake's AI and Data Cloud posture and Security DataLake workload awareness and pipeline building via marketing initiatives including conferences, trade shows, and events. * Work and collaborate with other Field CTO members in areas as a security expert collaborating with Enterprise AI, Gen AI, Data Engineering and Applications teams at Snowflake. * Share knowledge with internal and industry communities via webinars & conferences. ON DAY ONE WE WILL EXPECT YOU TO HAVE: Mandatory Technical Experience & Language Proficiency (Required) * Verified Industry Experience: 7-10+ years of hands-on information security experience, with at least 5+ years focused squarely on cloud security architecture (AWS, Azure, GCP, or domestic Korean CSPs like Naver Cloud/NHN). * Mandatory Korean & English Fluency: Native or professional business fluency in written and spoken Korean is strictly required for regulatory filings, KISA/FSI communications, and complex technical documentation. Professional-level English is required for global HQ collaboration. * 10+ years of industry, customer-facing, and hands-on implementation experience with a core focus on data concepts, privacy, governance, networking, infosec and security technologies. * Outstanding skills in presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. * Experience selling enterprise SaaS software and working in the local South Korean market. * Korea-Specific Infrastructure Design: Proven experience designing and managing physical and logical network separation architecture and data localization/residency compliance for highly regulated industries. * Expertise and in-depth working knowledge and hands-on experience in cloud platforms (at least one of the following: AWS, Azure, GCP), and its corresponding security, data encryption, and networking architecture and technologies. * Cloud Infrastructure & Networking: Advanced understanding of IAM/RBAC, OAuth, identity governance (SCIM), TCP/IP, IP routing, DNS, proxies, and CSP private networking (NAT, Firewalls, TLS, PrivateLink). * Advanced Identity & AI Security: Practical exposure to modern security vectors, including AI Security principles and emerging non-human identity frameworks like Agentic Identity (securing AI agents, orchestrators, and LLM data pipelines). * Audit Lifecycle Management: Experience executing gap assessments, control implementations, evidence collection, and managing annual surveillance/reassessment cycles. * Ability to build out demos, configure CSP environments, and test use cases on the Snowflake platform and relevant integrations with CSP services and external security tools. * Ability to create security and networking-related reference architectures, security best practices and hardening guides, and articulate them to a customer audience. * A demonstrated knowledge of security frameworks such as NIST, CIS, OWASP, MITRE ATT&CK and how to articulate controls and security mechanisms within a Risk Assessment centred approach. * Knowledge of ANSI SQL compliant databases and / or data warehousing is preferred * Excellent written and verbal communication skills, interpersonal and collaborative skills, presentation and white boarding skills to a large audience, and the ability to successfully communicate security and risk-related concepts to technical and nontechnical audiences. * Fair understanding of the culture diversity across Asia Pacific Japan region and flexibility of working with customers and colleagues from multiple APJ time zones. * Bachelor's degree in Information Security, Computer Science, Information Management Systems, or related field required. Masters preferred. Korean Regulatory & Compliance Expertise (Highly Desired) * Proven CSAP Track Record: Direct, hands-on experience leading or supporting a successful CSAP certification framework (Low, Mid, or High tier) * K-FSI & Financial Sector Mastery: Direct experience navigating the K-FSI CSP Safety Evaluation process, demonstrating a deep understanding of vendor risk, outsourcing due diligence, and the Regulation on Supervision of Electronic Financial Transactions (RSEFT / 전자금융감독규정). * Data Privacy Mastery: Clear working knowledge of South Korean data privacy and cloud legislation, including Article 23-2 of the Cloud Computing Act, the Electronic Financial Transactions Act (EFTA), and the Personal Information Protection Act (PIPA). BONUS POINTS FOR THE FOLLOWING: * AWS/Azure/GCP security and / or networking specialty related certification achievement is a plus * Hands-on expertise with SQL, Python, and APIs * Hands-on expertise with software containerisation in Kubernetes, including the use of Terraform or similar technologies. * A background or experience in Governance, Risk, Compliance (GRC) and Infosec Auditing with relevant accreditations. * Any security operations experience in a Security Operations Environment, Security * Korean Manufacturing/Telco/Financial Services Vertical experience: Prior experience implementing cloud security architectures or handling compliance programs within various Korean verticals such as: Manufacturing Industry, Telecom, Financial Services, Retail. * Formal Certifications: Valid global security credentials (CISSP, CISM, or CISA) paired with official K-ISMS-P Lead Auditor/Assessor credentials. * DevSecOps & Coding: Hands-on expertise with SQL, Python, APIs, containerization (Kubernetes), and Infrastructure-as-Code (Terraform). * SecOps Experience: Prior experience working within a live Security Operations Center (SOC) or threat-hunting environment. * Enterprise SaaS Experience: Technical pre-sales or architecture experience supporting enterprise cloud or SaaS software sales cycles. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Databricks

SLSQ427R271 Databricks is looking for a bold, strategic, and execution-oriented senior executive to lead our Manufacturing industry go-to-market (GTM) motion across Asia Pacific and Japan (APJ). As a key member of our global industry GTM team, you will shape and drive how Databricks engages the industrial sectors in one of the world's most dynamic and complex regional markets. This role reports to the Global GTM Head for Manufacturing, Transportation, and Energy, with deep day-to-day collaboration with APJ sales, field engineering, and GTM leadership. You will operate at the intersection of industry expertise, customer engagement, and commercial strategy - helping Databricks win in a market where data and AI are redefining how physical products are built, delivered, and optimized. If you bring deep industry domain knowledge, a bias for action, and a proven track record of harnessing the transformative potential of data and AI to drive real business value - we want to hear from you. Responsibilities: * Lead the strategic and operational execution of GTM initiatives across the manufacturing and automotive industries in APJ, driving pipeline growth and accelerating customer adoption * Build strong alignment with APJ sales, field engineering, marketing, partnerships, and product teams to develop and execute industry-specific GTM programs that convert market opportunity into revenue * Cultivate and maintain executive-level relationships with customers, partners, and key industry stakeholders across the APJ region — with particular focus on Japan, Korea, and India * Develop and deliver thought leadership through industry publications, conferences, and executive briefings to position Databricks as the platform of choice for the industry  * Provide ongoing analysis of market trends, competitive dynamics, and customer needs to sharpen our industry strategy and identify high-value growth opportunities * Define, track, and report on key performance indicators (KPIs) for GTM initiatives, continuously refining plans based on data and field insights * Travel regularly across the APJ region to support customer meetings, executive engagements, and industry events Qualifications: * Bachelor's degree in Business, Engineering, or a related field; MBA or equivalent post-graduate qualification strongly preferred * 10+ years of leadership experience in the manufacturing sector, including at least 5 years in a GTM, strategy, or business development role within enterprise technology * Proven success taking technology products or platforms to market with a clear industry focus and measurable commercial outcomes * Expert-level domain knowledge in one or more of the following areas: software-defined vehicles, industrial AI, agentic supply chain management, or AI-driven engineering and R&D * Familiarity with key manufacturing and automotive industry standards bodies and frameworks across the APJ region * Strong understanding of the modern data and AI technology landscape — and how it applies to manufacturing operations, quality, supply chain, and innovation * Demonstrated ability to influence and lead cross-functional teams without direct authority in a matrixed, fast-moving organization * Track record of building trusted relationships with senior executives in a multilingual, multicultural market like APJ * Exceptional communication skills — written and verbal — with the ability to translate technical and data concepts into compelling business narratives for executive audiences 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

CSQ227R53 Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world's most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering, you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks' most strategic enterprise customers across Communications, Media, Entertainment & Gaming (CMEG), you will shape how leading organizations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. As a people leader, you will build and scale a team that represents Databricks' highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernization programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact. While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. THE IMPACT YOU WILL HAVE: * Oversee regional performance targets including billable utilization, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio. * Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics. * Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification. * Synthesize field insights from your team’s engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks. * Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution. * Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth. WHAT WE LOOK FOR: * 4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations with a proven track record of building excellence-driven cultures. * 5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners. * Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Finance, Healthcare, Retail, Telco, or Energy. * Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics. * Strong stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level. * Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued. * Ability to travel to customer sites and Databricks offices approximately 20% of the time.   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 $211,800—$291,300 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

MKTQ327R31 The Director, Americas Field Marketing, will lead the transformation of field marketing from event-centric to pipeline-obsessed, driving measurable revenue impact across half of our Americas business for Digital Natives, Startups, Retail, Communications, Media and Gaming, LATAM, and Canada business units. This role reports to the VP of Americas Marketing and owns the pipeline-generation strategy and execution, driving the next evolution of field marketing through data-driven program optimization, innovative demand generation, and scalable growth systems and processes. You'll hire and lead a high-performing team that treats every dollar spent as an investment in a measurable pipeline, moving beyond traditional event metrics to focus on conversion rates, deal velocity, and revenue attribution. The impact you will have: * Pipeline Ownership: Deliver measurable pipeline targets with full accountability for lead-to-revenue conversion across regulated industries * Data-Driven Strategy: Help build Americas field marketing strategy based on rigorous ROI analysis, pipeline attribution, and predictive analytics * Program Evolution: Transform team from event-focused to full-funnel demand generation, creating integrated campaigns that drive pipeline at every stage * Conversion Optimization: Implement testing frameworks and optimization processes that continuously improve conversion rates from awareness to closed-won * Revenue Attribution: Use pipeline attribution and reporting to directly connect field marketing investments to revenue outcomes * Scalable Systems: Design repeatable, scalable programs and processes that generate predictable pipeline growth in a hyper-growth environment * Cross-Functional Excellence: Drive seamless handoffs between marketing and sales with SLA-driven lead management and pipeline acceleration programs * Team Development: Build and mentor a team of pipeline-focused field marketers who understand the full customer journey and revenue impact What we look for: * Pipeline Expertise: 10+ years managing field programs with direct pipeline accountability and proven track record of exceeding revenue targets * Data & Analytics: Advanced proficiency in pipeline attribution, conversion analysis, and ROI optimization using SFDC, Tableau, and marketing automation platforms * Hyper-Growth Experience: 7+ years scaling field marketing programs in fast-growing tech companies, with experience managing large budgets ($2M+) and demonstrating clear ROI * Team Leadership: 5+ years building and leading high-performing field marketing teams with pipeline accountability * Revenue Operations: Deep understanding of demand generation funnels, lead scoring, sales processes, and revenue operations in B2B environments * Innovation Mindset: Proven ability to create breakthrough programs beyond traditional events—digital experiences, account-based campaigns, and omnichannel strategies * Systems & Process: Experience implementing scalable marketing operations, lead management systems, and cross-functional workflows * Stakeholder Management: Strong partnership skills with sales leaders, with the ability to speak their language around pipeline, conversion, and revenue impact   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 $223,400—$307,100 USD Zone 2 Pay Range $201,000—$276,450 USD Zone 3 Pay Range $189,800—$261,050 USD Zone 4 Pay Range $178,700—$245,750 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

SLSQ426R477 We are looking for a highly skilled, strategic, and tenacious AMER ISV Leader with strong vision and unparalleled execution.   You will design, develop, and execute the ISV GTM strategy and programs. You have driven scale and multiplier effects. You will define priorities, drive activity, work closely with the leadership team, and roll up your sleeves to execute. You will drive competitive advantage to ISVs, accelerate Databricks’ growth, and unlock business impact to joint customers.  The impact you will have * GTM Strategy & Execution: Develop and execute AMER GTM strategy, implementing innovative strategies that expand our market presence.  * Sales Programs: Launch sales plays and programs within Databricks, ISVs, and our shared ecosystem with an industry-first lens. Launch programs, sales plays, partner power plays (with Cloud, SIs, and other ISVs).    * Demand Generation - Work with Sales Dev, Demand Gen, and Marketing to launch outbound and inbound campaigns to spread awareness and create pipeline creation   * Operational Excellence: Create and drive operational rigor for cadence, reporting, KPIs, escalation process, stakeholder updates, and QBRs. * Market Research: Conduct research, including customer discussions and aggregated customer feedback, to identify trends, customer needs, and competitive landscape to inform solution development and strategy.  Provide data-driven insights on trends and represent voice of the partner and customer * Sales Enablement: Collaborate with enablement, sales, and solution engineering to drive ISV-related sales motions, including training, messaging, and co-selling efforts. * Deal Support: Anticipate (and proactively solve) channel conflict, support deal creation through close, drive account field engagement with BU leaders and strategic priority accounts. * One-Team:  Develop an environment for winning and success to further nurture a ‘one team’ collaborative culture Examples of responsibilities * Set a winning Strategy: Understand and align the right ISVs to Sales priorities, company priorities, and critical industry imperatives   * Drive Partner Success: Work with ISV Partner C-suite, Alliance, and Sales teams to build and execute on GTM plans in the region. Facilitate Regional QBRs with important partners.  * Build for Scale: Work with Sales Programs to embed ISV Partners into core motions and priorities.  * Activate and enable the field: Scope, create and deliver enablement on how best to work with ISVs and which ISVs to work with for certain industry imperatives and company priorities. Lead Sales workshops between partners and databricks to unlock new use cases and progress said pipeline * Represent the business: Have the depth to handle discussions on Delta Sharing partners, Connected partners, and Built Ons with customers and partners.  * Make our ISV Program a competitive differentiator: Engage top data and AI leadership, industry leadership, and the C-suite to build mindshare with top ISVs and build a program that is just as much a competitive differentiator for partners as our product. * Triangulate and drive ecosystem success: Drive Partner Power Play, aligning the right ISVs to the right SIs. Define repeatable use cases and work with the industry team and partners to build Brickbuilder Solutions * Measure, Iterate, and Improve: Identify cross-functional gaps and work to bring teams together to solve them. Identify gaps in our ecosystem portfolio and assist in recruiting the appropriate partners. Drives efficiencies and productivity across their region, guiding on accurate activity tracking from a depth of experience * Collaborate Cross Functionally: Interlock and build effective relationships with Sales teams, Business Development, Product, Engineering, Pre-sales, Post-sales, Marketing, Partners, and other partners in the ecosystem  What we look for: Experience: * 20+ years experience selling Software, SaaS, and Cloud Sales   * 10+ years experience architecting and defining strategy for ISV at scale * Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer)  * Degree in business, economics, engineering, finance, science, or math preferred * Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Product, Engineering, Marketing) Skills: * Outstanding communication skills (verbal, written, and presentation) for both technical and executive audiences   * Technically Knowledgeable in the open source software, big data, IoT, and/or cloud computing space.  * Ability to translate technical concepts into business value, interacting with both business executives and technical audiences (data scientists and engineers).  * In-depth understanding of alliance/partner organizations, key stakeholder management, joint value proposition development, and delivering field enablement programs. * Possess the aptitude to learn quickly and establish credibility. * Proactive, entrepreneurial spirit and tenacious team player    Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 1 Pay Range $172,200—$236,775 USD Zone 2 Pay Range $172,200—$236,700 USD Zone 3 Pay Range $172,200—$236,700 USD Zone 4 Pay Range $172,200—$236,700 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

GAQ327R204 About the Role Databricks is looking for an experienced attorney to join our Commercial Legal team. This role supports Databricks' sales organization on complex SaaS and other commercial transactions with sophisticated enterprise customers, including customers in regulated industries. You will independently lead negotiations, advise on deal strategy, and work as part of a collaborative team supporting Databricks' data and AI business. The role is well-suited for an attorney who exercises strong judgment and translates legal complexity into clear, practical advice for business stakeholders. This position reports to the Senior Director & Associate General Counsel, Commercial. The impact you will have: * Lead complex commercial transactions from first engagement through signature, including drafting and negotiating SaaS MSAs and related security, privacy, and AI terms, as well as order forms, statements of work, and related transaction documents * Partner closely with Sales, Deal Desk, Finance, Security, Privacy, Product, and other stakeholders to resolve issues that affect deal execution * Advise on issues that arise in enterprise technology transactions, including data privacy, information security, artificial intelligence, intellectual property, and open source software * Help improve templates, fallback positions, guidance, and contracting processes * Provide concise, practical legal advice that balances legal risk with commercial objectives What we look for: * 7+ years of relevant technology transactions experience at a law firm and/or in-house legal department * Significant experience drafting, negotiating, and closing complex sell-side software, SaaS, and cloud transactions with enterprise customers * Strong familiarity with issues that commonly arise in commercial technology deals, including data privacy, information security, AI-related terms, intellectual property, and open source software * Demonstrated ability to independently manage sophisticated negotiations, exercise sound judgment, and translate legal and business risk into practical advice * Experience supporting cloud, infrastructure, platform, or other technology companies * Strong communication and prioritization skills, and the ability to manage multiple matters effectively * Experience supporting enterprise customers, including in regulated industries, is preferred * Juris Doctor and active bar membership in good standing in at least one U.S. jurisdiction   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.   Zone 1 Pay Range $219,800—$302,300 USD   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.   Zone 2 Pay Range $197,800—$272,050 USD   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.   Zone 3 Pay Range $186,900—$256,950 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

SLSQ327R41 Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks. Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape. We are looking for a creative, delivery-oriented Enterprise Account Executive to join the team in the Nordics to maximise the phenomenal market opportunity that exists for Databricks Sweden. As an Account Executive, you know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. You will be offered huge potential for career progression with the pace of the team's growth. You will report to the Sales Director for Sweden and Finland.  The impact you will have: * You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual consumption and booking goals * You will lead your team, customers and partners to identify impactful data and AI use cases whilst proving out their value on the Databricks Data Intelligence platform * You will implement the data and AI transformation goals of your customer through a combination of strategic partnerships, well scoped professional services, training and targeted Executive engagement * You will develop an understanding of technical product details and roadmap to build trust with executives and technical champions What we look for: * Exstensive experience selling complex solutions to Enterprise Customers * You will have experience managing and leading complex, federated sales campaigns in major accounts * You will have experience working in Data, Cloud industries with some technical sales experience * Proof of exceeding sales quotas in high-growth Enterprise software companies  * You will have experience driving consumption and commit-based engagement models and strategies working with professional services and training teams * You will have experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI) * Experience of building effective champions, collaborative teams and partnerships to support execution of your account / territory plan * Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisation * Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting * Bachelor's Degree or relevant work experience * Fluency in English is required 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

SLSQ327R219 Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks. Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape. We are looking for a creative, delivery-oriented Enterprise Account Executive to join the team in Denmark to maximise the phenomenal market opportunity that exists for Databricks. As an Account Executive, you know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners.  You will report to the Sales Director for Denmark and Norway.  The impact you will have:  * You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual consumption and booking goals * You will lead your team, customers and partners to identify impactful data and AI use cases whilst proving out their value on the Databricks Data Intelligence platform * You will implement the data and AI transformation goals of your customer through a combination of strategic partnerships, well scoped professional services, training and targeted Executive engagement * You will develop an understanding of technical product details and roadmap to build trust with executives and technical champions What we look for: * Exstensive experience selling complex solutions to Enterprise Customers * Experience working in Data, Cloud industries with some technical sales experience * Proof of exceeding sales quotas in high-growth Enterprise software companies  * Experience driving consumption and commit-based engagement models and strategies working with professional services and training teams * Experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI) * Experience of building effective champions, collaborative teams and partnerships to support execution of your account / territory plan * Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisation * Experience of following robust sales methodologies and process (e.g. account planning, MEDDPICC, Value Selling and accurate forecasting) * Bachelor's Degree or relevant work experience * Fluency in English is required, fluency in Danish is preferred 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

SLSQ127R284 As part of our accelerating APJ growth, Databricks is looking for a dynamic Account Executive to join the team. This exciting Sales role will make an important impact on revenue and the expansion of our business in Public sector (Singapore). As an Account Executive, your mission will be to acquire and grow some of our focus customers in Databricks. You know how to sell within a specific vertical domain and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts. The impact you will have: * Evangelize Databricks' Unified Analytics Platform powered by Spark and launch the Databricks brand in Accounts across all industries * Prospect, identify, and source new sales opportunities, building pipeline individually and with the Databricks SDR team * Engage with business and technical decision-makers and lead them through the evaluation and buying process * Exceed individual activity, pipeline, and annual revenue targets * Engage with and drive business through local partners (technology partners, ISVs, SIs, and GSIs) * Drive customer success and upsell in existing customers * Create a Territory Strategy focused on the public sector industry and other industries. What we look for: * 7+ years of experience selling SaaS solutions to Public Sector/ Enterprise/mid-market/commercial/ Customers in Singapore. * Proven success in Enterprise Sales roles, ideally in Big Data, Cloud, or SaaS technology * Demonstrable experience in selling innovation, ideally in Big Data, Cloud, or SaaS technology * Solution and business-outcomes-focused sales approach (Command of the Message, MEDDPIC, Challenger Sale) * Ability to simply articulate intricate cloud & big data technologies and their business value for the customer * Proven success and upward trajectory in whatever you have done 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

SLSQ127R35 As part of our accelerating growth, Databricks is looking for a dynamic Digital Native Account Executive to join us in Seoul, Korea. This is an exciting Sales role that will make an important impact on the revenue and expansion of our business. As a Digital Native Account Executive, your mission will be to acquire and grow some of our focus customers. You know how to sell within a variety of Digital Native Business vertical domains and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts. You will report to the Director of Sales, Korea. The impact you will have: * Evangelize Databricks' Unified Analytics Platform powered by Spark and launch the Databricks brand in Enterprise Accounts across all industries * Prospect, identify and source new sales opportunities, building pipeline individually and with the Databricks SDR team * Engage with business and technical decision makers and lead them through the evaluation and buying process * Exceed individual activity, pipeline and annual revenue targets * Engage with and drive business through local partners (technology partners, ISVs, SIs and GSIs) * Drive customer success and upsell in existing customers * Create a Territory Strategy What we look for: * Proven success in Enterprise Sales roles, ideally in Big Data, Cloud, or SaaS technology * Demonstrable experience of selling innovation, ideally in Big Data, Cloud, or SaaS technology * Solution and business-outcomes focused sales approach (Command of the Message, MEDDPIC, Challenger Sale) * Ability to simply articulate intricate cloud & big data technologies and their business value for the customer * Proven success and upward trajectory in whatever you have done * Bachelors Degree and 6+ years of full sales cycle experience selling SaaS solutions to Enterprise Customers 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

SLSQ227R7 As an Enterprise Account Executive at Databricks, you are an experienced enterprise sales professional specializing in selling to Enterprise accounts (FSI). You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always seeking new opportunities, you will close new accounts while maintaining existing ones. Along with the chance to close exciting deals and solve meaningful problems. The impact you will have: * Present a territory plan within the first 90 days * Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners * Close both new accounts and existing accounts * Identify and close quick, small wins while managing longer, complex sales cycles * Exceed activity, pipeline, and revenue targets * Track all customer details, including use case, purchase time frames, next steps, and forecasting in Salesforce * Use a solution-based approach to selling and creating value for customers * Promote Databricks' enterprise cloud data platform powered by Apache Spark * Ensure 100% satisfaction among all customers * Prioritize opportunities and apply appropriate resources What we look for: * Field sales experience within big data and Cloud * Prior customer relationships with CIOs, program managers, and essential decision makers * Simply articulate intricate cloud technologies * 7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries * Success in closing new accounts while working on existing accounts * An understanding of Spark and big data is preferable   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

SLSQ227R67 As an Enterprise Account Executive at Databricks, you are an experienced enterprise sales professional specializing in selling to Enterprise accounts (Pharma, Real Estate, CPG, Retail etc). You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always seeking new opportunities, you will close new accounts while maintaining existing ones. Along with the chance to close exciting deals and solve meaningful problems. The impact you will have: * Present a territory plan within the first 90 days * Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners * Close both new accounts and existing accounts * Identify and close quick, small wins while managing longer, complex sales cycles * Exceed activity, pipeline, and revenue targets * Track all customer details, including use case, purchase time frames, next steps, and forecasting in Salesforce * Use a solution-based approach to selling and creating value for customers * Promote Databricks' enterprise cloud data platform powered by Apache Spark * Ensure 100% satisfaction among all customers * Prioritize opportunities and apply appropriate resources What we look for: * Field sales experience within big data and Cloud * Prior customer relationships with CIOs, program managers, and essential decision makers * Simply articulate intricate cloud technologies * 7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries * Success in closing new accounts while working on existing accounts * An understanding of Spark and big data is preferable   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.

Datadog

As a Senior Product Manager for Regulated Industries, you'll drive our compliance, data sovereignty, and new market presence roadmap—one of Datadog's highest-growth focus areas. You'll work cross-functionally with teams across GTM, Support, Corporate Development, and fellow product managers to help accelerate that growth. A key focus of this role is international expansion across strategic markets, alongside supporting our ongoing regulated industries initiatives. At Datadog, we place real value in our office culture—the relationships, collaboration, and creativity it fosters. We operate as a hybrid workplace so our Datadogs can build a work-life balance that fits them. WHAT YOU'LL DO * Define the roadmap for delivering Datadog's platform to highly regulated customers, globally * Collaborate with product managers to help them succeed in regulated markets * Speak fluently to the technical details customers care about—data flows and security architecture—for both engineering and executive audiences * Enable GTM by partnering closely with sales and marketing teams * Partner with Compliance Engineering and InfoSec teams * Work with marketing, sales, and post-sales teams to identify gaps in our regulated offerings * Deliver AI capabilities responsibly to highly regulated customers WHO YOU ARE * You have five or more years of experience in a SaaS/B2B regulated industries role—Product Management, Compliance, Global Public Sector Engineering, or Product Marketing * You're passionate about working with customers in regulated markets such as public sector, healthcare, and financial services * You're customer-focused with high standards for quality * You're energized by growth-stage opportunities * You can engage deeply with technical, compliance, security, and executive audiences alike—from platform engineers to CISOs and CTOs * You have excellent verbal and written communication skills, with the confidence to present ideas to technical stakeholders and executives alike * You enjoy partnering cross-functionally with teams like marketing, sales, and corporate strategy * You understand—and are genuinely interested in—emerging technologies and the evolving landscape of compliance-driven standards and policies * You're familiar with global regulations and data sovereignty requirements * You hold a Bachelor's degree in Engineering, Computer Science, Information Technology, or have equivalent experience   Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $192,000—$240,000 USD ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Coupang

Company Introduction: Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.     Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.  We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”      Role Overview: We're in search of a Staff Data Scientist to join our supply chain management technology team. This role is ideal for someone deeply passionate about applied research, AI/ML, and Operations Research, eager to collaborate across product, engineering, business, and operations to tackle the most complex challenges in supply chain management. The successful candidate will thrive in an interdisciplinary environment, adept at developing production solutions from scratch or enhancing existing ones, and will play a pivotal role in shaping and executing the vision for automating supply chain management.   What You Will Do: * Collaborate closely with cross-functional teams, including product, engineering, and business, to identify opportunities for enhancing our technology products, translating ambiguous business requirements into practical solutions. * Conduct comprehensive research and analysis to inform model development, establishing metrics and success criteria for evaluating solution effectiveness * Deliver data-driven solutions to support automated decision-making at scale, leveraging advanced Statistics, Machine Learning, and Operations Research techniques to optimize business processes and make data-driven decisions/predictions * Analyze/solve complex data problems using innovative methods, such as deep learning, and communicate findings to technical and non-technical stakeholders through clear and concise reports and presentations * Provide analysis for launched solutions to quantify outcomes based on real-world results, identifying areas for improvement and opportunities for future development   Basic Qualifications * Bachelor's/Master's degree in mathematics/statistics, computer science/engineering, industrial engineering, operations research, or any other quantitative disciplines, with 5+ years of relevant experience working in industry or academia * Hands-on experience in statistics/ML fundamentals and demonstrated experience in Python, SQL, and basic visualization tools (e.g., Tableau, Power BI) * Strong critical thinking skills and ability to solve ambiguous problems supported by solid knowledge of data science and machine learning fundamentals, with proven experience to formulate business problems to data science solutions  * Ability to conduct analysis independently for a business problem through data manipulation, hypothesis formulation, experiment design, and statistical analysis * Excellent written and verbal communication skills to effectively engage with technical and business stakeholders at all levels, including presentation development and delivery   Preferred Qualifications: * Strong ability to model ambiguous business and operational problems at the appropriate level of abstraction, with a focus on delivering practical solutions * Advanced proficiency with machine learning frameworks, tools, and languages such as Python, R, Java, TensorFlow, and PyTorch, with experience building ML/DL models to handle large-scale datasets * Proven experience in AI/ML-driven demand forecasting, lead time prediction, causal models, fulfillment rate prediction, with the ability to collaborate with ML Engineers and Data Analysts to optimize model development and deployment * Experience designing and implementing large-scale optimization solutions for complex business problems * Expertise in developing and deploying advanced algorithms, including decomposition methods, heuristics/metaheuristics, and hybrid methods * Familiarity with Big Data ecosystem (Spark, Hive, HBase) and SQL/NoSQL (Redis/MongoDB) for handling complex data transformations and analysis * A deep understanding of the e-commerce business domain and the ability to apply cutting-edge models into production environments, driving measurable results   Recruitment Process * Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer * The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. * Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.   Details to Consider * This job posting may be closed prior to the stated end date for application if all openings are filled. * Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. * Coupang does not discriminate against disabled applicants or those with veteran status. * We are proud to offer equal opportunities for all applicants.   Privacy Notice * Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/

Databricks

P-1348 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is important to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a Staff Software Engineer working on the Data Platform team you will help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, Applied AI and many more. You will develop a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, data consumption layers etc. You will do this using the latest, bleeding-edge Databricks product and other tools in the data ecosystem - the team also functions as a large, production, in-house customer that dog foods Databricks and guides the future direction of the product. The impact you will have: * Design and run the Databricks metrics store that enables all business units and engineering teams to bring their detailed metrics into a common platform for sharing and aggregation, with high quality, introspection ability and query performance. * Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks. You’ll play a key role in developing the right balance of data protections and ease of shareability for the Data Intelligence Platform as we transition to a public company. * Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies and deployment types. This includes CI/CD processes, test frameworks for pipelines and data quality, and infrastructure-as-code tooling. * Design the base ETL framework used by all pipelines developed at the company. * Partner with our engineering teams to provide leadership in developing the long-term vision and requirements for the Databricks product. * Build reliable data pipelines and solve data problems using Databricks, our partner’s products and other OSS tools. Provide early feedback on the design and operations of these products. * Establish conventions and create new APIs for telemetry, debug, feature and audit event log data, and evolve them as the product and underlying services change. * Represent Databricks at academic and industrial conferences & events. What we look for: * 12+ years of industry experience  * 4+ years of experience building large scale distributed systems * 5+ providing technical leadership on large projects similar to the ones described above - ETL frameworks, metrics stores, infrastructure management, data security. * Experience building, shipping and operating reliable multi-geo data pipelines at scale. * Experience working with and operating workflow or orchestration frameworks, including open source tools like Airflow and DBT or commercial enterprise tools. * Experience with large-scale messaging systems like Kafka or RabbitMQ or commercial systems. * Excellent cross-functional and communication skills, consensus builder. * Passion for data infrastructure and for enabling others by making their data easier to access.   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

FEQ427R245 Look at all the apps you have on your mobile. Many of these are built by customers that are within our Digital Natives & Startup patch and are using Databricks to support their business. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and foster a culture of creativity, experimentation, and continuous improvement. At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes Data and AI accessible to everyone. Join us in our quest to change how people work with data and make a better world! About the team The Solutions Architecture team serves as trusted advisors, helping customers identify and prioritize impactful use cases across their industries. Our team provides expert technical guidance to drive Data and AI solutions from concept to production. They act as a bridge between customers, product teams, and sales, ensuring that solutions are not only technically sound but also aligned with business objectives. About the role A Digital Native Business Solution Architect Leader is a senior technical and strategic role focused on designing, developing, and implementing technology solutions tailored for digital native companies—businesses born in the digital era, often leveraging cloud, APIs, and modern data platforms. This leader not only understands data solutions but also leads and mentors a team of solution architects to deliver impactful customer outcomes. You’ll empower companies to innovate and grow together with your team. The impact you will have / Key Responsibilities: * Technical Leadership: * Guide customers through competitive landscapes, best practices, and implementation strategies. * Provide technical leadership to help customers understand how Databricks can solve their business problems. * Team Leadership & Mentorship: * Lead, build, and mentor a high-performing team of solution architects. * Drive exceptional customer outcomes demonstrated by production applications and increased adoption of APIs and platforms. * Develop technical champions within customer organizations. * Customer Engagement & Strategy: * Partner closely with sales teams to develop account strategies and align on plans that help our customers to achieve their business goals. * Lead technical win strategies and support technical account management for strategic customers. * Engage with end-user and developer communities to understand needs and tailor solutions accordingly. What we look for: *You do not need to fulfil every single requirement to be a strong candidate. If you are excited about this role and have related experience, we encourage you to apply.* * Have 8+ years of experience in a technical customer-facing role, managing C-level technical and business relationships with complex global organizations. * Have 2+ years of experience leading technical pre-sales teams with a demonstrated ability to hire, develop, and manage technical teams. * Strong understanding of digital native business models and their technology and business requirements. * Extensive experience (often 5+ years) in infrastructure architecture, database architecture, networking, and IT development or consulting within software or internet industries. * Have a proven ability to lead technical teams and an operational and strategic mindset in doing this. * Have strong communication skills with excellent presentation and negotiation skills, both in-person and written.  * Have experience in pre-sales activities, such as solution design and business value selling. * Excellent communication and interpersonal skills; professional proficiency in English (knowledge of any Nordic language is a plus, but not a hard requirement). Notes:  * This role is based in Stockholm, within a reasonable commuting distance, and follows a hybrid working model. * If you need any adjustments or accommodations during the application or interview process, please let us know so we can support you. 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.