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LanceDB is an AI-native multimodal lakehouse platform enabling researchers and AI teams to curate and manage petabytes of video, audio, and derived signals for training frontier models, world models, robots, and autonomous vehicles. Customers include Runway, Midjourney, and Netflix.
You will be LanceDB's first Revenue Marketer, building the demand engine from the ground up. This is a hands-on founding role where you own marketing strategy, campaigns, content, and reporting—transforming LanceDB's technical credibility and open-source momentum into enterprise pipeline through account-based marketing (ABM).
Key responsibilities include:
- Build and own the revenue marketing function end-to-end, with 1:1, 1:few, and 1:many ABM as the core motion
- Develop segmentation, prioritization, and marketing strategy around the core ICP and target account list in partnership with RevOps and Sales
- Design custom, omnichannel marketing plans for key accounts with hyper-relevant content and nurture programs
- Conduct regular account-planning interlocks with Sales and RevOps to diagnose deal blockers and identify marketing support opportunities
- Build ABM campaign assets independently (landing pages, email sequences, LinkedIn creative)
- Leverage open-source community signals and product-usage data (GitHub, docs, self-serve) to identify high-intent accounts
- Stand up the marketing tech stack (CRM, ABM/attribution tools, advertising, email, analytics) and reporting infrastructure
- Drive co-marketing initiatives with the Partners team
You bring 7–10 years of B2B marketing experience for technical products with deep ABM and revenue marketing expertise. You have a track record of sourcing and influencing enterprise pipeline through account-based campaigns and have built or scaled marketing motions at early-stage or high-growth startups. You are a hands-on executor capable of owning campaign execution end-to-end, proficient in the full martech and ABM stack (HubSpot, Common Room, Clay, digital/physical advertising, OSS intelligence tools), and have strong analytic instincts. You use AI thoughtfully to improve your work, possess a foundation-builder's mindset, and communicate effectively with founders and GTM leadership. Ideally, you have experience in AI companies, databases, data infrastructure, or developer tools.
