
Databricks · United States
(GAQ327R299) Databricks is seeking a strategic and experienced compensation lead to serve as a trusted partner to founders and senior leadership in our GTM (Go...
Databricks is seeking a strategic and experienced compensation lead to serve as a trusted partner to founders and senior
leadership in our GTM (Go To Market) org. This role will support long-term business objectives by working within the overall
Compensation philosophy to co-create compensation models that help attract, retain and motivate world-class technical talent.
This role reports to the Senior Director of Compensation.
At Databricks, we don't believe compensation is just a number; it's a tool to recognize that every employee is an owner and a part
of our success. We are looking for a team member with a solid foundation and history of success in doing just that!
This is a hands-on, high-impact role that will effectively cover below areas and the anticipated time spent on each:
Compensation expertise
practices, pay for performance design
recommendations. Analyze competitive trends in cash, equity, and total rewards to inform decision-making and tradeoffs.
Advanced capabilities required in gSheets, excel. We’ll love it if you know tableau, SQL, python or have used AI for comp
analytics
in the tech sector
Operational and partnership excellence
think ahead and anticipate future needs
products
navigate competing priorities and opinions to drive the best outcomes
transfers, and org changes; support sensitive, high-stakes compensation decisions with sound judgment and data-backed
recommendations
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
Zone 2 Pay Range
Zone 3 Pay Range
Zone 4 Pay Range
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.
(GAQ327R301) Databricks is seeking a data-driven compensation professional to lead our Compensation Analytics & Intelligence function. This role will provide centralized compensation analytics and intelligence to drive better, faster, and more consistent decision-making through the effective use of data. This is a key role within the Compensation function at Databricks. This is a builder’s role for someone who lives at the intersection of compensation, data, and strategy. You will transform enterprise-wide compensation data into insights and operational tooling, serve as the function’s go-to lead for AI and data strategy, and act as a trusted thought partner to senior leaders on the company’s most complex pay challenges — all while maintaining the highest standards for data governance, privacy, and security. In a talent market this dynamic, you will be the person who sees where the market is moving before it moves. At Databricks, we don’t believe compensation is just a number; it’s a tool to recognize that every employee is an owner and a part of our success. We are looking for a team member who brings rigor, intelligence, and world-class craft to that mission. THE IMPACT YOU WILL HAVE: SCOPE OF THE ROLE This is a hands-on, high-impact role that will effectively cover the below areas and the anticipated time spent on each: * Company-wide program analytics (35%) — Own enterprise-wide compensation analytics: the market benchmarking process, total comp budget forecasting, and the analytical backbone for major program decisions. * AI & data strategy lead (25%) — Serve as the Compensation function’s lead on AI and data strategy. * Partnership with Finance (20%) — Partner with Finance teams on cash compensation budgets and spend. Collaborate on equity budget and spend modeling in close partnership with the Exec & Equity comp lead. * Competitive intelligence & QBR reporting (10%) — Track market trends and spikes/cool-downs across cash, equity, and total rewards. * Strategy & program design partnership (10%) — Provide thought partnership on major comp program design and company-wide strategic problems WHAT WE LOOK FOR: We’re looking for someone who has the following strengths ANALYTICS * Data fluency — This is the heart of the role. Exceptional analytical skills with a proven ability to transform raw, complex data into insights, tooling, and recommendations. You see the story in the numbers and build the systems that surface it. * Know your tools — Advanced capabilities required in gSheets and Excel. Strong working fluency in SQL and experience with BI / analytics platforms (e.g., Tableau, AI/BI) strongly preferred; Python and hands-on experience applying AI to comp analytics are a meaningful plus. * Lead on AI — Genuine enthusiasm and sound judgment for how AI can responsibly transform compensation work, paired with a sharp instinct for data privacy, governance, and the downstream implications of how sensitive data is handled. Comp expertise * Know your craft — Solid foundation in job architecture, comp frameworks, market pricing, year-end and midyear pay cycles, global compensation practices, and pay-for-performance design. * Be rational — Ability to balance deep comp knowledge with business solutioning from a first-principles viewpoint. Operational & partnership excellence * Build innovatively & scale effectively — Create frameworks and solutions that not only solve today’s issues but anticipate future needs. * Operational capability — Connect the dots between systems, players, and programs to seamlessly deliver compensation analytics and tooling. * Savvy collaborator & trusted advisor — Comfortable leading conversations with Finance and senior leadership, navigating at times competing priorities and opinions, and supporting sensitive, high-stakes compensation decisions with sound judgment and data-backed recommendations. 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 $217,800—$299,550 USD Zone 2 Pay Range $196,100—$269,600 USD Zone 3 Pay Range $185,200—$254,650 USD Zone 4 Pay Range $174,200—$239,600 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.
CSQ327R64 The Senior Engagement Manager is a trusted advisor within the Forward Deployed Engineering organization to account teams and customers for successful implementation and value realization. You will independently lead large, complex, cross-functional programs with minimal oversight, navigating ambiguous scenarios to drive significant impact on your assigned accounts. The impact you will have: * Strategic Leadership: Independently scope and lead large, complex initiatives with multiple workstreams and diverse stakeholders. * Advanced Selling: Drive the full-cycle sales of standard and customized Professional Services & Training (PS&T) programs, pulling in best practices for Centers of Excellence (CoEs) and migrations. * Account Growth: Identify and pursue upsell and cross-sell opportunities within existing customers to meet or exceed revenue targets. * Cross-Functional Alignment: Partner with Sales and GTM teams to prioritize regional PS&T targets aligned with growth goals. * Customer Sentiment: Proactively monitor customer sentiment and take corrective actions or escalate to ensure high satisfaction. What we look for: * 7-10 years running a Professional Services line of business. * 10+ years in senior customer-facing roles with a mix of influencing and execution. * Deep understanding of PS&T offerings, including Partner funding programs (Microsoft, AWS, Google). * Strong knowledge of Databricks architecture, competitors, and migration benefits. * Proven track record of managing large-scale program plans and service delivery. * Ability to travel up to 25-50% as required. 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 $144,800—$199,100 USD Zone 2 Pay Range $130,300—$179,200 USD Zone 3 Pay Range $123,100—$169,300 USD Zone 4 Pay Range $115,800—$159,300 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.
MKTQ227R35 The Senior Partner Marketing Manager, C&SI (Consulting & Systems Integrators), will accelerate Databricks’ growth with the world’s largest consulting firms by driving demand for our Data and AI Platform joint solutions and building brand awareness. You will deepen preference for Databricks with both executive and practitioner audiences at strategic consulting firms, and turn that preference into joint marketing motions that grow shared pipeline and customer adoption. You must be a self-starter and have the ability to work in a fast-paced environment. You will work closely with Business Development, Partner Solution Architects, Industry and Product Marketing, and Regional Marketing to drive priority GTM themes into measurable partner business impact. Impact you’ll make (12–18 month outcomes) * Build and execute joint marketing plans with C&SI partners. Work with partner teams to drive GTM priorities and assigned partner pipeline targets. * Develop and execute co-marketing programs across webinars, events, digital campaigns, and partner-led activities to generate net-new demand and support active opportunities. * Create and drive consumption of repeatable joint collateral with partners, including solution briefs, blogs, industry use cases, campaign assets, and customer proof points that support partner-led selling. * Publish at least 6 customer stories or joint announcements annually that showcase C&SI-led Databricks success. * Manage a consistent C&SI partner communications engine, delivering roughly 6 high-impact “to partner” touchpoints per month (e.g. newsletters, webinars, enablement events) that achieve agreed engagement and adoption targets. * Scale repeatable partner marketing motions in conjunction with our Partner Development Center, via standardized marketing materials such as solution briefs, campaign kits, industry use-case assets, and customer proof points that can be leveraged globally. What we look for * 7+ years of experience in partner marketing or alliance marketing for an enterprise software or SaaS company. * Proven experience working with consulting firms, GSIs, or system integrators in cloud, data, AI, or enterprise software, with a track record of growing joint pipeline and revenue. * Demonstrated success building and executing joint campaigns and co-marketing programs (webinars, events, digital campaigns, and partner-led activities) that deliver measurable pipeline and opportunity impact. * Experience creating high-impact joint partner content and sales enablement materials, such as solution briefs, industry use cases, campaign assets, and customer proof points that support partner-led selling. * Strong program management, communication, and cross-functional leadership skills, with the ability to align Business Development, Partner Solution Architects, Product Marketing, and Regional Marketing around shared goals. * Domain familiarity with cloud, big data, analytics, data warehousing, machine learning, or AI technologies, sufficient to position differentiated joint solutions with senior technical and business stakeholders. * Confident presenter with experience enabling partners and customers through conferences, seminars, webinars, or executive briefings, using storytelling and data to drive action. 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 $163,400—$224,750 USD Zone 2 Pay Range $147,100—$202,300 USD Zone 3 Pay Range $139,000—$191,050 USD Zone 4 Pay Range $130,700—$179,750 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.