SLSQ427R609
The Global Pipeline Strategy & Execution team sits at the heart of Databricks’ GTM engine. We set the pipeline targets the company runs on, monitor global pipeline health, evaluate performance, and architect the future top-of-funnel operating model.
We are seeking a strategic, high-leverage Manager / Senior Strategy Lead to serve as the central strategic spine for global pipeline strategy, executive pipeline governance, and long-term Sales Development (xDR) capacity and talent planning.
In this role, you will lead the global pipeline strategy narrative, architect executive Cross-Functional Pipeline Councils, and drive capacity, coverage, compensation, and target-setting frameworks across our global Sales Development organization. As AI and automation transform routine prospecting tasks, you will redefine how our Sales Dev org operates - pairing AI-native capabilities with specialized human roles to unlock optimized coverage ratios while powering our enduring engine for Account Executive talent development.
You will bridge high-level corporate strategy with operational execution - ensuring executive leaders have clear visibility, aligned targets, and structured strategic choices to maximize pipeline generation across all channels.
The Impact You'll Have1. Executive Pipeline Governance & Strategic Spine- Executive Pipe Councils Framework: Architect, scale, and orchestrate Executive & Cross-Functional Pipeline Council frameworks, operating cadences, and executive communications alongside senior leadership.
- Central Pipeline Strategy Narrative: Own the global pipeline strategy narrative, synthesizing complex, multi-workstream performance insights into coherent executive presentations and leadership decision frameworks.
- Cross-Functional Alignment: Foster seamless alignment across Sales, Sales Development, Marketing, Partner, Programs, and Product GTM teams to ensure leadership remains unified behind top strategic growth bets.
- Capacity & Coverage Modeling: Design and implement scalable xDR capacity and coverage models that integrate automation to optimize territory coverage, improve rep productivity, and drive deeper strategic account engagement.
- Evolving Role Archetypes: Shape the long-term vision and pilot frameworks for specialized Sales Dev role archetypes aligned directly with company-wide growth, product expansion, and sales productivity targets.
- Future AE Talent Architecture: Partner with Sales Dev leadership to design in-seat career progression architecture. Establish target-setting philosophies, compensation structures, and performance gates that develop xDRs into technically credible, high-performing Account Executives.
- Operating Frameworks: Install repeatable cadences, standardized review frameworks, and governance models that increase velocity, eliminate friction, and improve cross-functional decision-making.
- AI Builder Mindset: Proactively deploy AI tools (e.g., LLMs, conversational analytics, custom agents) to improve strategy team workflows, automate strategic reporting, and raise the bar for AI capabilities across the GTM strategy org.
- Radical ownership and speed: You own outcomes at pace, not just tasks. You are measured on the impact you deliver, not on effort.
- Run-the-business operator: You want to own a business end-to-end and operate on the leader's behalf, not support from the sidelines. You earn trust through immersion and reliability, you're a doer as much as a designer, and you bring structure to ambiguity.
- Technical and analytical horsepower: You want your hands in the data and to build, not just direct it - modern data & AI tools (advanced Excel, SQL, BI platforms, conversational analytics, custom agents), and you pick up new tools fast.
- AI-fluent, and on the frontier: AI is part of your daily workflow as a multiplier, and you proactively keep up with the latest tools and trends. You enjoy being an early adopter, learn new technology fast, and turn it into enterprise-quality work while offloading operational load to it.
- Proactive strategic instinct: You don't wait for the question; you spot the pattern, form a point of view, and bring the recommendation, framed around the leader's decisions.
- Zero-defect operational rigor: Accurate, on-time, exec-ready output. You trace discrepancies to the root cause and won't ship something you can't defend. Strategy and operations are equally weighted.
- Connective tissue, with sound judgment: You run toward cross-functional partnership, understand other teams' incentives, and make it easy to say yes. You see the org as a system rather than silos - with high honesty, integrity, and judgment. You document and teach what you build.
- Executive presence and excellent communication: Command in front of Senior Directors, VPs, and BU leadership; you synthesize complex data into leader-ready decks, exec summaries, and quantitative business cases.
- Relevant Experience & GTM Depth: Prior experience in GTM Strategy, Strategy & Operations, Sales Operations, or Management Consulting at a high-growth technology company, with deep understanding of capacity planning, coverage ratios, and top-of-funnel mechanics.
- Not a pure strategy role: If you want to think but not execute, this isn't the right role. The operational parts of the job aren't optional - strategy and execution are equally weighted, and you are expected to build and run what you design.
- Not an arm's-length role: This job rewards deep immersion in the business: the accounts, the team, the numbers. If you prefer to stay at the analytical surface or delegate execution from the sidelines, this isn't the right fit.
- Not a "maintain-the-status-quo" position: Designed to continually evaluate and evolve target-setting philosophy, coverage models, and executive alignment frameworks as the company scales.
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 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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
- Experience in GTM Strategy, Strategy and Operations, Sales Operations, or Management Consulting
- Experience at a high-growth technology company
- Deep understanding of capacity planning, coverage ratios, and top-of-funnel mechanics
- Advanced Excel skills
- SQL experience
- Experience with business intelligence platforms
- Experience using AI tools, conversational analytics, LLMs, or custom agents
- Ability to synthesize complex data into executive presentations, summaries, and quantitative business cases
- Strong cross-functional leadership, strategic judgment, and executive communication skills
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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Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
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Parental & Family Support — Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
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Wellbeing & Lifestyle Benefits — Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.
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.








