Overview
About the Role This is a ground-up, build-the-engine role for a seed-stage AI infrastructure company that makes graph-native context and memory infrastructure for AI agents. You will be the first person accountable to a revenue number, sitting directly alongside the CEO on deal strategy, positioning, and ICP refinement across enterprise, pilot, and self-serve motions. What You'll Do Own the full pipeline from sourcing through expansion across all three GTM lanes: enterprise anchor deals, Shadow Mode pilots, and PLG self-serve. Run targeted 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, iterate on, and document the GTM motion, identifying what works and how to scale it. Partner closely with the CEO on positioning, deal strategy, and ICP refinement. What We're Looking For Early-
Full job description
Full Job Description
About the Role
This is a ground-up, build-the-engine role for a seed-stage AI infrastructure company that makes graph-native context and memory infrastructure for AI agents. You will be the first person accountable to a revenue number, sitting directly alongside the CEO on deal strategy, positioning, and ICP refinement across enterprise, pilot, and self-serve motions.
What You'll Do
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Own the full pipeline from sourcing through expansion across all three GTM lanes: enterprise anchor deals, Shadow Mode pilots, and PLG self-serve.
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Run targeted outbound to Directors of Engineering and Heads of AI at seed-to-Series D AI companies.
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Drive enterprise deal cycles from first call to signed contract.
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Design, iterate on, and document the GTM motion, identifying what works and how to scale it.
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Partner closely with the CEO on positioning, deal strategy, and ICP refinement.
What We're Looking For
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Early-stage GTM experience, ideally at a developer tools or infrastructure company.
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A track record of owning a revenue number and being held directly accountable to it.
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Technical fluency strong enough to have credible conversations with engineering leaders.
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A builder mentality: you enjoy creating structure from scratch rather than following an existing playbook.
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Strong written and verbal communication skills.
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Prior experience selling to AI engineering teams is a plus.
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Experience running PLG and enterprise motions in parallel is a plus.
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An existing network in the Bay Area AI/ML ecosystem is a plus.
Compensation & Benefits
Base salary: $120,000 to $200,000 USD annually, plus meaningful equity. Visa sponsorship is not available for this role.
Location
On-site in San Francisco, CA, United States.
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Verification notes
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