About the Role

This is a build-the-engine-from-scratch opportunity at a well-backed, early-stage AI infrastructure company building graph-native context and memory for AI agents. The platform delivers persistent context via a GraphDB on object storage — with semantic search, git-style temporal versioning, and entity resolution — purpose-built for modern AI workloads.

You will be the first GTM hire, sitting directly next to the CEO on deal strategy and positioning, and the first person accountable to a revenue number. GTM spans three lanes: enterprise anchor deals, pilot programs, and PLG self-serve. The ICP is Directors of Engineering and Heads of AI at seed-to-Series D AI companies.

If you've wanted to build a GTM motion from zero at a company with genuine technical differentiation, this is that role.

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 activity across enterprise anchors, pilots, and PLG self-serve in parallel

What We're Looking For

Required:

• Early-stage GTM experience with direct, end-to-end revenue ownership — ideally at a developer tools or infrastructure company

• Proven track record sourcing, qualifying, negotiating, and closing enterprise deals with multi-stakeholder cycles

• Outbound prospecting experience targeting engineering leadership at AI/ML companies

• Technical enough to have credible conversations with engineering leaders

• Builder mentality: you create structure, you don't follow it

• Strong written and verbal communication skills; ability to craft compelling messaging and value propositions

• Ability to work in-person in San Francisco

Nice to Have:

• Prior experience selling to AI engineering teams

• Experience running PLG and enterprise motions simultaneously

• Existing network in the Bay Area AI/ML ecosystem

Compensation & Benefits

• Salary: $120,000 – $200,000 annually

• Meaningful equity — early employee ownership in a well-differentiated product

• Flexible PTO

• Learning budget: books, courses, conferences, and compute

• Wellness programs and daily meals in the office

• Top-tier hardware and software

• Periodic team offsites

Visa sponsorship is not available for this role.

Location

This is a full-time, on-site role based in San Francisco, CA. In-person presence is required.