
Databricks · United States
(GAQ327R301) Databricks is seeking a data-driven compensation professional to lead our Compensation Analytics & Intelligence function. This role will provide ...
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.
This is a hands-on, high-impact role that will effectively cover the below areas and the anticipated time spent on each:
budget forecasting, and the analytical backbone for major program decisions.
budget and spend modeling in close partnership with the Exec & Equity comp lead.
rewards.
strategic problems
We’re looking for someone who has the following strengths
data into insights, tooling, and recommendations. You see the story in the numbers and build the systems that surface it.
analytics platforms (e.g., Tableau, AI/BI) strongly preferred; Python and hands-on experience applying AI to comp analytics are
a meaningful plus.
instinct for data privacy, governance, and the downstream implications of how sensitive data is handled.
Comp expertise
global compensation practices, and pay-for-performance design.
Operational & partnership excellence
future needs.
and tooling.
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
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.
(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 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! The impact you will have: SCOPE OF THE ROLE This is a hands-on, high-impact role that will effectively cover below areas and the anticipated time spent on each: * Compensation solutioning for GTM talent (40%) * Managing Compensation processes through the employee life cycle (30%) * Contributing to building and delivering enterprise-wide compensation programs/ frameworks (30%) What we look for: We’re looking for someone who has the following strengths: Compensation expertise * Know your craft - Job architecture, comp frameworks, market pricing, year-end and midyear pay cycles, global compensation practices, pay for performance design * Know your data - Exceptional analytical skills with the ability to synthesize complex data into clear outputs and 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 * Know the competition - Deep expertise in tech compensation practices, especially around new-hire and refresh equity strategies in the tech sector * Be rational - Ability to balance comp knowledge with business solutioning from a first principles viewpoint Operational and partnership excellence * Build innovatively & scale effectively - create innovative frameworks/solutions to not just solve today’s issues but also to think ahead and anticipate future needs * Operational capability - connect the dots between systems, players, and programs to seamlessly deliver compensation programs/ products * Savvy collaborator - partner closely with founders and executive leadership to pre-empt, understand and solve business needs; navigate competing priorities and opinions to drive the best outcomes * Trusted advisor - act as a trusted advisor on compensation decisions, including offers, promotions, leveling, retention, 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 $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.
With 1,000+ intelligence professionals serving over 1,900 clients worldwide, Recorded Future is the world’s most advanced, and largest, intelligence company! We’re looking for an experienced Product Manager to lead our Threat Intelligence Analytics domain — the foundation that powers Recorded Future’s intelligence platform. This role focuses on the collection, transformation, and analysis of global threat data across technical signals — ensuring the intelligence we deliver to customers is comprehensive, timely, and accurate. You’ll own the product strategy and roadmap for our intelligence data pipelines and analytics framework, working across multiple technical product teams. You’ll be responsible for defining priorities, driving alignment, and ensuring our backend data systems deliver measurable value. This is a high-impact role for a technically fluent, strategic product manager who thrives on building data systems that scale, integrate, and continuously improve. WHAT YOU'LL DO: * Own the product strategy and roadmap for the intelligence data lifecycle — from collection through transformation, enrichment, and analytics. * Align and prioritize across multiple backend teams, balancing platform scalability with intelligence impact. * Define and track key data quality metrics, including coverage, freshness, accuracy, enrichment value, and signal-to-noise ratio. * Translate intelligence needs into technical requirements for data scientists, ML engineers, and pipeline developers. * Collaborate with Threat Intelligence and engineering leadership to identify and deliver high-impact data and analytics capabilities. * Prioritize ingestion and analysis improvements that most enhance downstream products such as entity risk scoring, malware intelligence, and attack surface correlation. * Partner with platform and data infrastructure teams to ensure reliable, observable, and efficient analytics frameworks at scale. * Represent the data layer in cross-functional planning and ensure alignment with UI, integrations, and customer-facing initiatives. * Establish data quality frameworks and observability standards to ensure transparency and trust in intelligence outputs. * Champion innovation in threat intelligence data collection and analysis, exploring emerging approaches in multimodal analytics and LLM-driven extraction. WHAT YOU'LL BRING: * Data-Driven Product Thinker with experience managing large-scale data or analytics systems. * Strong Technical Acumen, able to engage with data pipelines, ML workflows, and backend architecture. * Experienced Cross-Team Leader, skilled at aligning multiple engineering and data teams around shared goals. * Familiar with Threat Intelligence or Cyber Data Domains, including structured and unstructured sources such as text, imagery, and network telemetry. * Knowledge of AI/ML, NLP, and Data Analytics, particularly as applied to extraction, classification, or clustering. * Strategic Prioritizer who can focus limited resources on the most impactful initiatives. * Excellent Communicator with the ability to bridge technical and strategic discussions across teams. * Customer-Oriented Mindset, understanding how backend data decisions translate into intelligence quality and customer value. * Outcome-Oriented, pragmatic, and comfortable driving progress in complex, technical environments. * Experience: 6+ years in product management or technical program management, ideally within cybersecurity, AI/ML, or large-scale data products. Why should you join Recorded Future? Recorded Future employees (or “Futurists”), represent over 40 nationalities and embody our core values of having high standards, practicing inclusion, and acting ethically. Our dedication to empowering clients with intelligence to disrupt adversaries has earned us a 4.6-star user rating on G2 and more than 50% of Fortune 100 companies as customers. Want more info? Blog & Podcast [https://www.recordedfuture.com/blog/]: Learn everything you want to know (and maybe some things you’d rather not know) about the world of cyber threat intelligence Linkedin [https://www.linkedin.com/company/recorded-future/], Instagram [https://www.instagram.com/recordedfuture/] & Twitter [https://twitter.com/RecordedFuture]: What’s happening at Recorded Future The Record [https://therecord.media/]: The Record is a cybersecurity news publication that explores the untold stories in this rapidly changing field Timeline [https://www.recordedfuture.com/our-story]: History of Recorded Future Recognition [https://www.recordedfuture.com/why-recorded-future#industry--culture-awards]: Check out our awards and announcements [https://www.youtube.com/watch?v=2WhmRNPWIRk] We are committed to maintaining an environment that attracts and retains talent from a diverse range of experiences, backgrounds and lifestyles. By ensuring all feel included and respected for being unique and bringing their whole selves to work, Recorded Future is made a better place every day. If you need any accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to our recruiting team at careers@recordedfuture.com [careers@recordedfuture.com] Recorded Future is an equal opportunity and affirmative action employer and we encourage candidates from all backgrounds to apply. Recorded Future does not discriminate based on race, religion, color, national origin, gender including pregnancy, sexual orientation, gender identity, age, marital status, veteran status, disability or any other characteristic protected by law. Recorded Future will not discharge, discipline or in any other manner discriminate against any employee or applicant for employment because such employee or applicant has inquired about, discussed, or disclosed the compensation of the employee or applicant or another employee or applicant. Recorded Future does not administer a lie detector test as a condition of employment or continued employment. This is in compliance with the law of the Commonwealth of Massachusetts, and in alignment with our hiring practices across all jurisdictions. Recorded Future maintains a drug-free workplace. Note: Our interview process for all final-round candidates requires a mandatory in-person interview or a live, scheduled video conference with the hiring manager. We do not conduct interviews via instant messaging or text. All communications during the application process will come from individuals within our HR department via their Recorded Future email address. ---------------------------------------------------------------------------------------------------------------------------------- Notice to Agency and Search Firm Representatives: Recorded Future will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Recorded Future, including those sent to our employees or through our website, will become the property of Recorded Future. Recorded Future will not be liable for any fees related to unsolicited resumes. Agencies must have a valid written agreement in place with Recorded Future's recruitment team and must receive written authorization before submitting resumes. Submissions made without such agreements and authorization will not be accepted and no fees will be paid.
FEQ427R261 Mission We are seeking a Sr. Manager, Solutions Architects (SAs) to lead our Intelligence Community (IC), Navy, Air Force and Space Force team. You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that operates efficiently to help accelerate Databricks' market growth. The Impact You Will Have * Alongside the Sales Director, you will set the vision and strategy for how this team will accelerate transformative outcomes for our IC and DoW customers * You will hire, train, lead and grow the Solutions Architect team for a company in high-growth mode. * Help your customers achieve exceptional success with Databricks and deliver substantial value to their businesses. * You will maintain a robust hiring pipeline at all times. * Establish relationships across the business to make your customers and team successful. * Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs What We Look For * Proven experience building and leading technical pre(or post)-sales teams - hiring, on-boarding, and enabling pre(or post)-sales professionals * 5+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI). * Alternatively, 5+ years of experience in mission-focused space impacting the IC or DoW from a technology perspective * Trusted advisor to technical executives that guide strategic data infrastructure decisions. * Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations. * Strategic mindset focused on driving customer outcomes in an accelerated fashion * Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles. * Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal cross-functional teams. * Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success. * Technical and business skills to earn the trust of Engineering talent and leadership at Databricks. * Demonstrated architectural influence. Able to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $192,100—$264,175 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.