# Technical Business Development Manager, Startup & VC Ecosystem at Databricks

Databricks is hiring a Technical Business Development Manager, Startup & VC Ecosystem in San Francisco, United States. It pays $119k-$163k a year and Level rates it Works on AI ●●●○; you can [apply on Level](https://jobsbylevel.com/go/bef9e6d2-5f65-4d2a-b686-d2c72c065b30?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. San Francisco, California.

## Details

- Company: [Databricks](https://jobsbylevel.com/companies/databricks)
- AI level: AI Level 3 (score 65 out of 100)
- Location: San Francisco, California
- Salary: $119k-$163k
- Posted: October 13, 2026
- Apply: https://jobsbylevel.com/go/bef9e6d2-5f65-4d2a-b686-d2c72c065b30?utm_medium=ai-agent

## Prepare for this job

The job page lists 3 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/technical-business-development-manager-startup-vc-ecosystem-at-databricks-5064a7

## Description

RDQ427R630 This role is in-person and Bay-Area-based by design, so you can be in the room with founders and investors. At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges central to their missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, CA, to a global organization with over 11,000 employees. Thousands of organizations, from small startups to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world and one of the top 5 most valuable private companies. About the Role: Databricks works with founders from the earliest days of their companies, when it is still just a team, an idea, and a lot of unproven AI. The Technical Business Development Manager for the Startup and VC Ecosystem owns the operational engine and the relationships behind that work, and the role is technical. You will run our startup program day to day, sit across from early-stage founders and talk seriously about their AI systems, produce a steady cadence of founder and investor events in San Francisco, and work hand in hand with the events teams at the venture firms whose founders we most want to reach. You will work closely with Databricks Ventures. This role is built to grow: you will start close to the program, the founders, and the events, and over time, take on more of the relationships and the strategy for how Databricks engages the startup ecosystem end-to-end. This role asks for four things that rarely sit in one person: the discipline of an operator who tracks every applicant and commitment without dropping one, the hands of a builder who is genuinely fluent in AI and can talk to a founder as a peer, the ease of someone who earns the trust of founders and the partners at the best venture firms in the country, and the judgment to turn all of that into strategy for how Databricks wins the next generation of companies. Most strong candidates have two of these, and some have three. We are hiring for trajectory: you should already be strong in the operating and the building, and hungry to grow into relationships and strategy. This is one of the rare seats where operating, building, and relationship-building are the same job. The impact you will have: Run the startup program : Own the day-to-day operations of the program, including applicant intake, evaluation, scoring, routing, and offer decisions, with precise tracking of every applicant, commitment, and outcome. Run it on AI automation built with Databricks AI tooling such as Omnigent, Unity Gateway, Agent Bricks, etc. Strong, hands-on proficiency with these tools is a requirement, not just knowing your way around them. Bring programmatic discipline : Own the trackers, the automation, the quality bar, and the follow-through so that nothing falls through the cracks. Be technical with founders : Hold real technical conversations with early-stage founders about their models, agents, data, and automation, and where Databricks and Neon fit. Earn their trust by being credible on the technology, not by pitching. Build and prototype : Build the automation and internal tooling that runs the program, and stay hands-on with the same AI tools founders use, so you can assess their technical ideas from a place of experience. This is developer relations at its most technical: close to the code and close to the builders. Assess and translate : Assess each founder's technical capability and the strength of their idea, and carry what you learn back to Product and to Databricks Ventures. Run founder and investor events : Design and run a regular calendar of founder and investor gatherings in San Francisco, including dinners,

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/technical-business-development-manager-startup-vc-ecosystem-at-databricks-5064a7

Source: https://jobsbylevel.com/jobs/technical-business-development-manager-startup-vc-ecosystem-at-databricks-5064a7

## Cite this page

Level. https://jobsbylevel.com/jobs/technical-business-development-manager-startup-vc-ecosystem-at-databricks-5064a7.

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