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Job Description
SLSQ327R620
The Consulting & Systems Integrator (C&SI) organization accelerates Databricks' growth by building and managing strategic relationships with the world's leading data, AI, and technology services companies.
As the Ventures Partner Portfolio Lead, you will drive value, scale, and strategic go-to-market motions across Databricks' portfolio of newly invested partner organizations. You will oversee a model designed to deeply support and scale our highest-performing investment partners post-investment. You will define and execute a cohesive portfolio strategy for fifteen partners.
In this role, you will focus on ensuring partners fulfill their obligations, accelerating joint product certifications, driving partner-sourced pipeline, and establishing repeatable joint business plans. You will work cross-functionally with Sales, Product, Engineering, and Marketing to surface scaling signals from the field, eliminate operational blockers, and maximize the long-term enterprise value of Databricks’ venture investments.
This role reports to the Vice President of System Integrator Partners.
The impact you will have:
- Own Joint Business Plan Execution: Oversee the rigorous execution of joint business plans, measuring quarterly progress against named target accounts, consumption milestones, and marketing KPIs.
- Accelerate Revenue & Pipeline: Drive partner-led growth by actively accelerating the partner-sourced pipeline and unlocking new market opportunities.
- Drive Enablement & Certification: Establish and enforce product-specific certification targets to deepen the partner's technical capabilities and practice size.
- Enforce Governance & Obligations: Ensure that newly invested portfolio partners are fully executing and fulfilling their contractual and strategic investment obligations.
- Unblock Field Execution: Act as the primary escalation point to resolve partner blockers by collaborating directly with cross-functional leadership across Product, Engineering, and Sales.
- Surface Predictive Scaling Signals: Capture and synthesize feedback from the field (e.g., new product traction, geographic expansions, executive talent moves) to feed back into quarterly portfolio scoring refreshes, ensuring the program remains predictive and agile.
- Identify Next Generation of Partners: Proactively evaluate the ecosystem and identify the next generation of partners primed for strategic investment and hyper-scale growth.
What we look for:
- 10+ years of experience building, managing, and scaling strategic partnerships, ideally within venture-backed ecosystems, high-growth alliances, or strategic investment portfolios.
- Demonstrated track record of managing a portfolio of strategic partners and delivering measurable business growth, pipeline acceleration, and consumption outcomes.
- Deep understanding of alliance organizations, including partner lifecycle management, corporate governance, joint business planning, and cross-functional GTM execution.
- Proven experience collaborating cross-functionally with Product, Engineering, Marketing, and Field Sales teams to unblock complex partner technical or commercial hurdles.
- Deep domain expertise in enterprise Data, Analytics, AI, and cloud technologies.
- Strong operational rigor with experience tracking quarterly performance metrics, compliance obligations, and utilizing field data to update predictive scoring models.
- Exceptional executive presence with the ability to influence C-level stakeholders, manage partner obligations diplomatically, and align cross-functional teams around shared business objectives.
- Strong strategic planning, operational execution, and people leadership skills with a demonstrated ability to build, coach, and scale a high-performing partner management team.
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$143,700—$197,550 USDZone 2 Pay Range$143,700—$197,550 USDZone 3 Pay Range$143,700—$197,550 USDZone 4 Pay Range$143,700—$197,550 USDAbout 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.
BenefitsAt 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.