Strategic Overview
Business Development Lead, VC/PE at Databricks is a sales-support opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as 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,…
The role is listed for New York City, New York / San Francisco, California with the working arrangement published with the role, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This Role
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.
Key Responsibilities & Objectives
- 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.
Required Qualifications & Candidate Blueprint
- Min 5+ years of sales experience in SaaS/PaaS or big data companies
- 5+ years of experience exceeding sales quotas
Salary & Benefits
The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.
- Strong network across VC funds, Private Equity firms, operator communities, and founder networks; credible with partners from pre-seed to growth.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This sales-support opening is a useful opportunity for candidates whose experience matches the role-specific capabilities named in the listing. Its strongest career signal is the scope of the work itself — particularly 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. — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground the role-specific capabilities named in the listing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.