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SLSQ127R155
This role will focus on building our relationships with venture capital and private equity firms and turn those relationships into measurable value for their portfolio companies and Databricks. You will define the market, earn trust with investment and platform teams, and create repeatable ways to introduce founders and operators to the right Databricks teams through programs and solutions.
This is a hands-on ecosystem role with a commercial mandate. You will work across Startups, Sales, Field Engineering, Marketing and partner teams to help early-stage companies build on Databricks and help PE-backed businesses advance their data and AI priorities. You will own the investor relationship and the operating rhythm that makes it productive, while account teams own customer sales engagements.
The impact you will have:
- Build and execute a VC and PE ecosystem strategy. Prioritize firms by portfolio fit, sector, stage and opportunity; set partner plans and clear measures of progress.
- Build a VC founder motion with investment and platform teams: qualified introductions, startup program enrollment and founder education from pre-seed through growth (series B).
- Build a PE portfolio motion with operating and value creation teams. Identify shared priorities, connect companies with account teams and run executive briefings and portfolio reviews.
- Create investor briefings, founder and operator workshops, portfolio playbooks and events. Measure conversion and scale the programs that work.
- Own investor relationships through activation with clear mutual value, executive sponsors, referral paths, enablement and regular business reviews.
- Represent Databricks with credibility in investor, founder and executive forums, and bring market and portfolio feedback into our go-to-market strategy.
- Be customer-focused by delivering technical and business results using the Databricks Platform
What we look for:
- You have previously worked in an early-stage company, and you know how to navigate and be successful in a fast-growing organisation
- Min 5+ years of sales experience in SaaS/PaaS or big data companies
- Prior customer relationships with CIOs and important decision-makers
- Simply articulate intricate cloud technologies and big data
- 5+ years of experience exceeding sales quotas
- Strong network across VC funds, Private Equity firms, operator communities, and founder networks; credible with partners from pre-seed to growth.
- Excellent storytelling and executive communication; able to craft compelling narratives for partners and founders.
- Operational rigor: proficiency with CRM, partnership trackers, event automation, and data dashboards; comfortable building light processes that scale.
- Success in closing new accounts while upselling existing accounts
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
- Previous experience working at an early-stage company
- At least 5 years of sales experience in SaaS, PaaS, or big data companies
- Existing customer relationships with CIOs and important decision-makers
- Ability to clearly articulate complex cloud technologies and big data
- At least 5 years of experience exceeding sales quotas
- Strong network across venture capital funds, private equity firms, operator communities, and founder networks
- Excellent storytelling and executive communication skills
- Operational rigor and proficiency with CRM, partnership trackers, event automation, and data dashboards
- Experience closing new accounts and upselling existing accounts
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.
