Business Development Lead, VC/PE
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build relationships with venture capital and private equity firms and turn them into value for their portfolio companies. You will define the market, run founder and portfolio motions, create briefings, workshops and events, and own investor relationships while working with Sales, Field Engineering, Marketing and partner teams.
Requirements
- Experience in an early-stage company
- 5+ years of sales experience in SaaS/PaaS or big data
- Customer relationships with CIOs and decision-makers
- Ability to articulate complex cloud technologies and big data
- 5+ years exceeding sales quotas
- Strong network across VC, PE, operator and founder communities
- Excellent storytelling and executive communication
- Proficiency with CRM, partnership trackers, event automation and dashboards
- Success closing new accounts and upselling existing ones
Responsibilities
- Build and execute a VC and PE ecosystem strategy
- Build a VC founder motion with investment and platform teams
- Build a PE portfolio motion with operating and value creation teams
- Create investor briefings, workshops, playbooks and events and measure conversion
- Own investor relationships with executive sponsors, referral paths and business reviews
- Represent Databricks in investor, founder and executive forums
- Bring market and portfolio feedback into go-to-market strategy