About the RoleThis is a
build-from-zero GTM role at a seed-stage AI infrastructure company building graph-native context and memory infrastructure for AI agents. Think persistent memory, semantic search, temporal versioning, and entity resolution - purpose-built for modern AI workloads.
You won't be inheriting a playbook. You'll be writing it. GTM runs across three lanes - enterprise anchor deals, pilot programs, and PLG self-serve - and you'll own all three. You'll sit directly next to the CEO on deal strategy and be the
first person held accountable to a revenue number.
The ICP is Directors of Engineering and Heads of AI at seed-to-Series D AI companies. There are roughly 1,000 addressable accounts in the Bay Area alone, active enterprise conversations are already open, and the product genuinely sells itself to anyone who sees it.
What You'll Do- Own end-to-end pipeline: sourcing, qualifying, closing, and expanding deals across all GTM lanes
- Run outbound to Directors of Engineering and Heads of AI at seed-to-Series D AI companies
- Drive enterprise deal cycles from first call to signed contract
- Design and iterate on the GTM motion - identifying what works, what doesn't, and how to scale it
- Collaborate closely with the CEO on positioning, deal strategy, and ICP refinement
- Align and manage multi-channel outbound programs across enterprise, pilot, and self-serve motions
What We're Looking ForRequired:- Early-stage GTM experience with direct, end-to-end revenue ownership - build-from-zero background strongly preferred
- Proven track record sourcing, qualifying, negotiating, and closing enterprise deals through multi-stakeholder cycles
- Outbound prospecting experience targeting engineering and AI leadership at early-to-growth-stage companies
- Technical enough to hold credible conversations with Directors of Engineering and Heads of AI
- Experience managing GTM across multiple lanes (enterprise, pilots, and PLG) simultaneously
- Excellent written and verbal communication skills; able to craft compelling messaging and value propositions
- Builder mentality - you create structure, not follow it
- Ability and willingness to work on-site in San Francisco
Nice to Have:- Prior experience selling to AI engineering teams
- Background at a developer tools or infrastructure company
- Experience running PLG and enterprise motions in parallel
- Existing network in the Bay Area AI/ML ecosystem
Visa sponsorship: Not available.
Compensation & Benefits- Salary: $120,000 - $200,000 annually
- Meaningful equity - ownership commensurate with a founding team member
- Flexible PTO
- Learning budget (books, courses, conferences, compute)
- Wellness programs and daily meals in the office
- Top-tier hardware and software
- Periodic team offsites
LocationOn-site in
San Francisco, CA. This is a fully in-person role.
