CSQ227R245
Strategy and Execution Manager, GTM
The Strategy & Execution Manager is responsible for operationalizing Services and Enablement strategy using AI. You will lead the optimization of programs, financial planning, and cross-functional initiatives to scale the business for continued hyper-growth. This role is unique: you will bridge the gap between high-level executive strategy and technical execution, specifically by leveraging AI automation to streamline Services and Enablement delivery, improve margins, and automate complex internal workflows. The ideal candidate has not just worked with AI tools — they have built end-to-end AI-powered solutions using the modern AI and data stack and brings firsthand experience shipping production-grade systems.
Impact You Will Have
- Drive Executive Decisions: Lead business case analysis to determine investments across countries, verticals, and cloud service providers for the Services and Enablement organization
- Architect AI-Driven Operations: Own the end-to-end lifecycle of AI deployments (ideation to QA) designed to automate Services and Enablement workflows
- Translate Strategy to Scale: Convert long-range planning into measurable KPIs, building automated dashboards that provide real-time visibility into organizational health
- Optimize GTM & Delivery: Develop actionable frameworks to align GTM teams, ensuring Services and Enablement offerings are positioned effectively against competitors and integrated into the broader product roadmap
- Build, Not Just Advise: Design and personally ship AI agents, pipelines, and internal tools — you will be expected to own the full solution lifecycle, not just define requirements
Key Responsibilities
- Strategic Planning & Execution — Support Long Range Planning, OKRs, and identifying risks in planning assumptions for the Services and Enablement organization
- AI & Process Automation — Identify inefficiencies within the Services and Enablement lifecycle and build AI agents to address them. You will be hands-on in the build — from prompt engineering and RAG pipelines to agent orchestration and evaluation frameworks
- Modern Data Stack Ownership — Architect and maintain the data infrastructure underlying operational dashboards and AI systems, using tools Databricks native stack
- Cross-Functional Leadership & Enablement — Act as the connective tissue between Senior Sales, Services, and Enablement Leadership and technical teams
What We Look For
- Experience: 7+ years in Strategy, Operations, or Product Leadership, with at least 3 years of hands-on experience building technology solutions or data products in production environments
- AI Builder (Required): Demonstrated track record of designing and shipping end-to-end AI solutions. Experience with Foundation Model APIs is strongly preferred
- Modern Data Stack Proficiency (Required): Fluency across the modern data stack — including Databricks, Spark, Delta Lake, and cloud data warehouses. Ability to write production-quality SQL and Python
- Strategic Mindset: Proven ability to interpret complex data sets (e.g., cloud infrastructure costs, market sizing) to derive actionable investment insights
- Technical Depth Meets Business Acumen: Comfortable owning a data pipeline and a board-level presentation in the same week
- Communication: Ability to present complex AI and data concepts to executive stakeholders in a clear, concise fashion
- Proactive Problem-Solving: You don't wait for a tool to exist — you build it
- Adaptability & Curiosity: Genuine enthusiasm for staying current with the rapidly evolving AI landscape
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.
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.
Skills Required
- 7+ years in Strategy, Operations, or Product Leadership
- 3 years of experience building AI-powered solutions or data products
- Experience with Foundation Model APIs
- Fluency across the modern data stack including Databricks, Spark, Delta Lake
- Ability to write production-quality SQL and Python
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Equity Value & Accessibility — Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
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Healthcare Strength — Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
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Parental & Family Support — Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
