Databricks is hiring a Senior Director, Application Product Management to drive the strategic direction and transformation of Go-to-Market (GTM), Customer Support, and Marketing solutions portfolio. This critical leadership role will define and execute a comprehensive product strategy for enterprise applications, including the Salesforce ecosystem, while directly impacting our global GTM and customer support organizations. You will translate Databricks's business objectives into a compelling Application Product Roadmap, leveraging deep experience with consumption-based business processes, to ensure seamless delivery and adoption of solutions that empower our sales, marketing, and customer support teams at scale. First principles-based thinking will be crucial for dissecting complex challenges and architecting innovative solutions.
This role reports to the VP of Application Product Management within the CIO organization. You will lead a team of high-performing Application Product Managers and work closely with executive leadership across all lines of business to drive strategic initiatives, optimize processes, and deliver measurable business outcomes.
The impact you will have:
Define and own the product vision, strategy, and roadmap for the entire GTM, Customer Support, and Marketing solutions portfolio, ensuring alignment with Databricks' overarching business goals. This includes identifying new opportunities for competitive advantage and transformational impact, with a particular focus on optimizing for consumption-based revenue models and improving the entire sales motion, from lead to quote and post-sales motion.Build, mentor, and lead a high-performing team of Application Product Managers, fostering a culture of innovation, accountability, and continuous improvement. Provide strategic guidance, coaching, and career development to elevate the team's capabilities.Serve as a trusted advisor to executive stakeholders across Sales, Marketing, Customer Support, and other functions. Possessing a strong ability to influence business stakeholders, you will shape critical business decisions and the strategic direction of our GTM and CX operations through technology, translating complex technical concepts into clear business value and driving consensus on strategic priorities.Champion the adoption and integration of cutting-edge AI tools and technologies across the GTM and CX solutions portfolio to automate, scale and significantly enhance sales productivity.Partner closely with IT Architecture and Engineering leadership to ensure the architectural integrity, scalability, appropriate security measures, and maintainability of all solutions within the portfolio. Anticipate future growth and business needs specific to a consumption-based environment.Oversee the entire product lifecycle for the GTM and CX solutions portfolio, from ideation and discovery through development, launch, adoption, and ongoing optimization. Establish robust product governance frameworks and metrics to ensure predictable delivery of high-quality, impactful products, including those that ease the quoting experience, while ensuring high standards of quality and reliability.Champion a data-driven approach to product management. Establish comprehensive success metrics and KPIs for the portfolio, leveraging analytics, market research, and user feedback to inform product decisions.Lead efforts to identify and transform complex business processes leveraging technology, driving operational efficiencies and enhancing the overall customer and employee experience.What we look for:
15+ years of experience in IT Product Management with GTM and CX focus, demonstrating strategic leadership progression7+ years in senior leadership roles overseeing product managers and strategic portfolios, preferably in high-growth SaaS environmentsProven track record implementing JTBD and CUJ frameworks in enterprise SaaS environments with measurable business impactDirect experience leading GTM transformation initiatives that resulted in significant productivity improvements and revenue optimizationDemonstrated first principles thinking with specific examples of breakthrough solutions that challenged industry conventionsDeep and extensive expertise in Salesforce, Sales Cloud, Service Cloud, along with a comprehensive understanding of the broader Salesforce ecosystem and related GTM/CX technologiesAdvanced experience leveraging AI tools and technologies, including generative AI and intelligent automation, to drive business value and productivityProven expertise navigating and optimizing IT product strategies for consumption-based business models, with a focus on enhancing end-to-end sales processes and significantly easing quoting experiencesData architecture and analytics experience with the ability to design measurement frameworks and interpret complex business metricsEnterprise software security and compliance expertise within regulated environmentsBachelor's degree in Computer Science, Business Administration, or related fieldMBA or advanced degree preferredChange management certification or equivalent experience leading organizational transformations preferredPay 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
$302,600 — $423,725 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, please visithttps://www.mybenefitsnow.com/databricks .
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.
#J-18808-Ljbffr Read LessAt Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We're seeking a visionary Director of Product Operations to drive operational excellence and scale our product organization. In this pivotal role, you will be the connective tissue between product, engineering, and go-to-market teams, ensuring we deliver exceptional value to our customers through our unified data and AI platform.
Key Responsibilities:
Lead and mentor a team of product operations specialists, fostering a culture of customer obsession and data-driven decision-making
Analyze and synthesize data from multiple sources, including customer and partner feedback, product usage, and adoption metrics
Develop and maintain user-friendly systems, reports, and dashboards to surface key metrics and trends to stakeholders
Partner with Product Management, Engineering, and Field teams to close the feedback loop and build a cohesive customer story
Influence product and engineering decision-makers to deliver the best possible customer experience
Organize the measurement of key results for annual objectives and communicate progress to department stakeholders
Implement process improvements to optimize product operations, reducing costs and improving efficiency
Drive operational rigor across the product lifecycle, from ideation to launch and beyond
Oversee the product roadmap and release management processes, ensuring timely and high-quality delivery of new features
Qualifications:
10+ years of experience in product operations, business analysis, or related roles in high-growth technology companies
Proven track record of scaling product operations in a fast-paced, data-driven environment
Strong analytical skills with proficiency in SQL, Python, R, or Scala
Experience with data visualization solutions such as Tableau, Salesforce, PowerBI, or Data Studio
Deep understanding of the data and AI landscape, including lakehouse architecture and modern analytics platforms
Excellent communication and presentation skills, with the ability to distill complex analysis into clear messaging
Experience leading update syncs with strong preference for Agile/Scrum/JIRA experience
Entrepreneurial, "can-do" attitude with the ability to make an impact in a start-up environment
Comprehensive health coverage including medical, dental, and vision
401(k) Plan
Equity awards
Flexible time off
Paid parental leave
Family Planning
Gym reimbursement
Employee Assistance Program (EAP)
If you're passionate about operational excellence, driving innovation, and making a significant impact in the data and AI industry, we want to hear from you. Join us in our mission to simplify and democratize data and AI for organizations worldwide.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents 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 utilizes 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
$185,000 — $327,400 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, please visithttps://www.mybenefitsnow.com/databricks .
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.
#J-18808-Ljbffr Read LessAt 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 a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.
The impact you'll have:
Our backend teams span many domains, from our core compute fabric resource management infrastructure, to service platforms, to machine learning infrastructure. For instance, you might work on challenges such as:
Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic wayDevelop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providersBuild tools to allow Databricks engineers to operate their services across different clouds and environmentsBuild services, products and infrastructure at the intersection of machine learning and distributed systems.What we look for:
BS (or higher) in Computer Science, or a related field5+ years of production level experience in one of: Java, Scala, C++, or similar language.Experience working on a SaaS platform or with Service-Oriented Architectures.Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.Experience with security and systems that handle sensitive data.Good knowledge of SQL.Comprehensive health coverage including medical, dental, and vision401(k) PlanEquity awardsFlexible time offPaid parental leaveFamily PlanningGym reimbursementEmployee Assistance Program (EAP)As a federal government contractor, Databricks requires new U.S. employees to be fully vaccinated against COVID-19. Proof of vaccination will be required as a condition of employment. Databricks will make reasonable accommodations based on medical conditions or religious grounds for qualified candidates in accordance with applicable law.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here .
Local Pay Range
$166,000 — $225,000 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook .
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks .
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.
#J-18808-Ljbffr Read LessAt Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximize the value they get from our platform and the return on investment.
This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organization. You will report directly to a DSA Manager within the Field Engineering organization.
The impact you will have:
Engage with Solutions Architects to understand the full use case demand plan for prioritized customers.Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts.Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks.Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes servicing multiple use cases within the largest and most complex organizations.Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise.Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals.Navigate Databricks Product and Engineering teams for new product innovations, private previews and upgrade needs.Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:Main use cases moving from ‘win’ to production.Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision).Organic needs for current investment (e.g. cloud cost control, tuning & optimization).Executive and operational governance.Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM.What we look for:
5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers.Programming experience in Python, SQL or Scala.Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role.Understanding of solution architecture related distributed data systems.Understanding of how to attribute business value and outcomes to specific project deliverables.Technical program, or project management including account, stakeholder and resource management accountability.Experience resolving complex and important escalations with senior customer executives.Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects.Track record of overachievement against quota, goals or similar objective targets.Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.Can travel up to 30% when needed.Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents 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 utilizes 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: $161,300 — $247,300 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, please visit mybenefitsnow.com/databricks.
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.
#J-18808-Ljbffr Read LessWhile candidates in the listed location(s) are encouraged for this role, candidates in other locations located within Eastern and Central Time Zone in the United States will be considered.
== To comply with U.S. federal government requirements, U.S. Citizenship is required for this position ==
As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.
The impact you will have:
Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use casesWork with engagement managers to scope variety of professional services work with input from the customerGuide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applicationsConsult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.Provide an escalated level of support for customer operational issuesCollaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needsWork with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issuesWhat we look for:
US Citizenship Required this position6+ years experience in data engineering, data platforms & analyticsComfortable writing code in either Python or ScalaWorking knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least oneDeep experience with distributed computing with Apache Spark and knowledge of Spark runtime internalsFamiliarity with CI/CD for production deploymentsWorking knowledge of MLOpsDesign and deployment of performant end-to-end data architecturesExperience with technical project delivery - managing scope and timelinesDocumentation and white-boarding skillsExperience working with clients and managing conflictsBuild skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projectsBachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experienceAbility to travel up to 30% when neededPay 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
$161,280 — $225,792 USD
Zone 2 Pay Range
$161,280 — $225,792 USD
Zone 3 Pay Range
$161,280 — $225,792 USD
Zone 4 Pay Range
$161,280 — $225,792 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, please visithttps://www.mybenefitsnow.com/databricks .
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.
#J-18808-Ljbffr Read LessLocation: We're looking to hire for this role locally to our offices based in New York City, San Francisco, Mountain View, Denver, Bellevue, or Seattle. This will be a hybrid role that's in accordance with our RTO policy, which is currently 1 day a week.
Databricks is looking for an experienced commercial attorney to join Databricks' growing commercial and go-to-market legal team. As Legal Counsel, you will be joining a team of legal professionals responsible for reviewing and negotiating customer agreements and providing legal support for Databricks' revenue-generating activities. You will report to the Director & AGC, Commercial Legal.
You have 7+ years of relevant commercial legal transactional experience with a focus on complex technology transactions. You have meaningful experience negotiating SaaS commercial transactions and strong knowledge/experience counseling on legal issues related to data privacy, information security, artificial intelligence, and intellectual property, including open source software.
The impact you will have:
Become an important member of the commercial and go-to-market legal team responsible for reviewing and negotiating commercial customer agreements. Focus on balancing/mitigating risk for the company while continuing to enable our rapid revenue growth.Cultivate strong relationships with field sales by providing sound, strategic counsel to close sales transactions and support ongoing go-to-market effortsHelp maintain and update our legal agreements, ensuring that terms and internal policies are positioned to continue enabling rapid revenue growth and maintaining long-term stability for the company.Serve as a solutions-oriented business partner by providing pragmatic, sound legal counsel to internal Databricks clients and our growing customer base based on your understanding of Databricks' technology, product portfolio, information security architecture, and data privacy/compliance policies.Work cross-functionally with our business partners (e.g., Finance, Information Security, Product, and privacy) to align, communicate, and enforce applicable policies and controls to our global contracting processes.What we look for:
Minimum of seven (7) years of technology transactions experience either at a law firm and/or in-house Attorney role.Relevant commercial transactional experience working for and/or supporting cloud-based software companies, including an understanding of consumption/commit-based business models and the quarterly sales cadence.Substantial experience drafting, negotiating, and closing complex software sell-side transactions and a strong understanding of contractual issues related to information security, data privacy, artificial intelligence, and intellectual property, including open source software.Proven ability to successfully navigate and counsel on complex legal issues while balancing and/or mitigating material risk.Demonstrated experience prioritizing competing demands and being responsive to client expectations in a fast-paced environment within a limited time period.Outstanding written and verbal communication skills.Growth mindset, strong attention to detail, excellent critical thinking, and problem-solving abilities.Teaming approach with a focus on building a strong interlock with clients, business partners, and key stakeholders.Experience and/or strong interest in mentoring and guiding junior legal team membersJD and good standing to practice law in the relevant 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
$203,900 — $285,425 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, please visithttps://www.mybenefitsnow.com/databricks .
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.
#J-18808-Ljbffr Read LessWhile candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
Databricks is seeking a highly skilled and experienced professional to create, execute, and manage a migrations-focused program designed to collaborate with Systems Integrators (SIs), Independent Software Vendors (ISVs), and cloud partners to build migration solutions addressing competitive source systems and data warehouse migrations. This role plays a pivotal part in accelerating customer adoption of Databricks through targeted migration initiatives. It will sit within the Partner Programs & Solutions team, a group responsible for driving innovative collaboration through programs such as the Brickbuilder Solutions Program, C&SI Partner Program, and the broader Scale C&SI Ecosystem effort.
The ideal candidate will have strong program and project management experience. They will excel in being data-driven, possess a proven ability to set, monitor, and execute against OKRs, and thrive in cross-functional collaboration spaces. This position is pivotal in driving joint GTM motions, accelerating logo acquisition, and enhancing consumption growth through the Databricks partner ecosystem.
Key Responsibilities:Migrations Program Leadership: Design, implement, and optimize migration-focused GTM programs, enabling SIs to create scalable migration solutions tailored to support customers transitioning from competitive source systems and data warehouses. Ensure alignment of migration programs with Databricks’ business priorities, BU-level objectives, and field strategies (e.g., account planning, workload transitions, and adoption acceleration).Co-Sell Initiative Execution: Lead and refine global co-sell motions that integrate migration solutions into partner GTM strategies.Cross-functional Collaboration: Collaborate across departments including sales, product management, engineering, enablement, and marketing, ensuring partner and internal alignment on migration strategies.Metrics-Driven Execution: Define and measure OKRs and metrics specifically around migration solution adoption (e.g., workload migrations, incremental revenue, consumption growth). Establish benchmarks for migration solution performance and track success.Technical Enablement for Migration Solutions: Oversee the development and dissemination of technical enablement materials such as account planning guides and migration toolkits, ensuring SIs and ecosystem partners are equipped for successful implementation.Stakeholder Management: Act as a primary liaison between internal teams and external partners for migration solutions, ensuring smooth alignment and managing escalations.Governance and Planning: Implement governance and reporting frameworks to track the success of migration initiatives.What We Look For:10+ years of experience in migration program management or ecosystem partnerships with expertise in competitive migrations and data warehouse transitions.Proven experience in driving migration solutions in collaboration with ISVs, SIs, and cloud partners.Strong proficiency in data and analytics technologies and AI/ML workloads, with an understanding of how migrations impact partner and customer ecosystems.Demonstrated ability to collaborate across diverse functional teams while leading projects and initiatives end to end, always focused on data driven impact.Capability to define OKRs and develop strategies aligned within migration-focused GTM efforts.Data-driven decision-making with a focus on customer benchmark achievements.Comfort navigating strategic initiatives while addressing tactical challenges.Willingness to travel up to 10% for stakeholder coordination.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
$131,400 — $183,900 USD
Zone 2 Pay Range
$131,400 — $183,900 USD
Zone 3 Pay Range
$131,400 — $183,900 USD
Zone 4 Pay Range
$131,400 — $183,900 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, please visithttps://www.mybenefitsnow.com/databricks .
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.
#J-18808-Ljbffr Read LessAs a product manager - technical, you will work with other product managers and technical field teams to help ensure that the product features that we design and ship offer the best user experiences and meet the highest user performance requirements.
This challenging role will require you to measure both the functional and non-functional capabilities of our customers' workloads and the technologies that they employ to address them. This includes products and platforms outside the Databrick’s ecosystem. Equipped with this analysis, you will then examine in minute detail the experience fulfilling these workloads on Databricks and then detail the product improvements we can make to make Databricks even simpler and more powerful to use.
You will also be a bridge between the technical field teams and the product and engineering teams. You will ensure the product improvements are well presented to the field.
The impact you will have:
Use your technical and product experience to identify and determine product improvementsEstablish and help run AI performance benchmarksPrioritize and work on an impactful product roadmapHelp take the product to market and guide its adoptionWhat we look for:
5+ years of experience of strong, hands-on technical backgroundEmpathy for customers, especially data engineers, data analysts, and data scientistsDomain expertise in ML and Gen AIStrong experience training and evaluating AI models and agentic systemsExperience analyzing and quantifying different technology's capabilities at a deep levelExperience writing PythonExperience with systems design and architectureExperience working with both product and technical teamsPay 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
$139,900 — $195,850 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, please visithttps://www.mybenefitsnow.com/databricks .
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.
#J-18808-Ljbffr Read LessAt Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
More about the team:
A great platform needs an exceptional developer experience. The Databricks Authoring team’s mission is to deliver a best-in-class analytics experience for data scientists, ML engineers, data engineers, and SQL analysts. The Databricks Notebook and SQL editors are core to every customer’s workflow, and the features you launch will have a massive impact and broad reach.
As a developer-focused Product Manager, you will drive the creation of an innovative, best-in-class development experience on Databricks. Your work will include designing and building delightful features for our users including multi-user collaboration, reactive execution, serverless compute, code completion, code navigation, step-through debugging, web terminal, unit testing, and environment configuration.
You’ll also be tasked with creating new AI-powered tools that enhance the productivity of data engineers and scientists. We have big plans for leveraging AI to make data exploration easier, and we’d love to have you help us shape that future.
The impact you will have:
You will drive the product vision and roadmap for the developer experience in Databricks.You will explore integrating notebooks with cutting-edge generative AI capabilities, such as automated code generation, natural language processing, and predictive analytics.You will act as the voice of the customer, integrating user feedback to build developer experience improvements to Databricks authoring surfaces.You will grow end-user engagement with Databricks developer tools working closely with sales and customer success teams.What we look for:
5+ years of experience as a Product Manager working on platform productsExperience building developer-facing products (tools, frameworks, SDKs) with tens or hundreds of thousands of usersExperience programming in PythonExperience being a hands-on builder, must be comfortable using our own developer-facing products.Passion for designing products that simplify user experience of technically complex products.Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents 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 utilizes 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
$115,400 — $204,200 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, please visit our benefits page.
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.
#J-18808-Ljbffr Read LessWhile candidates in the listed location(s) are encouraged for this role, candidates in other locations located within Eastern and Central Time Zone in the United States will be considered.
== To comply with U.S. federal government requirements, U.S. Citizenship is required for this position ==
As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.
The impact you will have:
Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use casesWork with engagement managers to scope variety of professional services work with input from the customerGuide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applicationsConsult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.Provide an escalated level of support for customer operational issuesCollaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needsWork with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issuesWhat we look for:
US Citizenship Required this position6+ years experience in data engineering, data platforms & analyticsComfortable writing code in either Python or ScalaWorking knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least oneDeep experience with distributed computing with Apache Spark and knowledge of Spark runtime internalsFamiliarity with CI/CD for production deploymentsWorking knowledge of MLOpsDesign and deployment of performant end-to-end data architecturesExperience with technical project delivery - managing scope and timelinesDocumentation and white-boarding skillsExperience working with clients and managing conflictsBuild skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projectsBachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experienceAbility to travel up to 30% when neededPay 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
$161,280 — $225,792 USD
Zone 2 Pay Range
$161,280 — $225,792 USD
Zone 3 Pay Range
$161,280 — $225,792 USD
Zone 4 Pay Range
$161,280 — $225,792 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, please visithttps://www.mybenefitsnow.com/databricks .
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.
#J-18808-Ljbffr Read Less