Founding GTM (Remote)

Keenable; EE. UU.; A distancia; USD 180.000 - 320.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive equity

Premium health coverage

401(k) plan

Flexible time off

In-person demos in Bay Area

Fast decisions in interview process

Descripción de la vacante

Keenable is seeking a founding go-to-market leader to bring web-scale search and retrieval primitives into customer stacks. You will own the technical win with frontier AI labs and inference platforms, driving pilots and proof-of-value to recurring usage.

Join a high-autonomy startup embedded with research and engineering teams, with equity and Bay Area presence as a priority. You will demo, integrate, and scale solutions directly with customers and partners.

Formación

• Proven track record closing pilots or benchmarks with labs/platforms
• Ability to build demos independently and call APIs
• Fluent with researchers and ML engineers; aware of latency, recall, and cost trade-offs in retrieval
• Knowledge of AI labs and frontier models, agents frameworks and competition for queries
• Strong mission alignment to making knowledge accessible to agents

Responsabilidades

• Lead technical evaluations with AI labs and inference platforms, building relationships with researchers and ML engineers
• Stand up end-to-end demos and integrations inside the customer's own stack, including agents, eval harnesses, and model tool calls
• Scope and run pilots to a clear verdict, managing timelines and objections and handing a sized deal to Revenue or closing directly when terms are standard
• Own the platform channel, including integrations with inference platforms, agent frameworks, and resellers, and run the self-serve funnel that converts usage into accounts
• Relay feedback from labs and platforms back to product and engineering, translating it into demos and materials for the next prospect

Conocimientos

Technical evaluations

Demo building

Researchers/ML engineers communication

AI labs & inference landscape

Mission alignment

Herramientas

APIs

Descripción del empleo

Role overview

A founding go-to-market role at an early-stage AI infrastructure company building web-scale search and retrieval primitives that make continuously growing knowledge accessible to AI models. The position owns the technical win with frontier AI labs and inference platforms, getting the product running inside customer stacks and turning proof-of-value into recurring usage. It is a high-autonomy, results-oriented startup seat embedded directly with research and engineering teams.

Responsibilities

• Lead technical evaluations with AI labs and inference platforms, building relationships with the researchers and ML engineers who assess web search and retrieval infrastructure
• Stand up end-to-end demos and integrations inside the customer's own stack, including agents, eval harnesses, and model tool calls, and show results on their queries
• Scope and run pilots to a clear verdict, holding timelines, clearing technical objections, and handing a sized deal to the Head of Revenue or closing it directly when terms are standard
• Own the platform channel, including integrations with inference platforms, agent frameworks, and resellers, and run the self-serve funnel that converts usage into accounts
• Relay feedback from labs and platforms back to product and engineering, and translate it into the demos and materials the next prospect sees

Requirements

• Track record of winning technical evaluations with labs, platforms, or infrastructure teams where benchmarks or pilots closed deals with measurable results
• Hands-on ability to build a demo independently, comfortable calling APIs, wiring agents or evals, and presenting the outcome to a researcher without waiting on engineering support
• Conversational fluency with research scientists and ML engineers, with working knowledge of latency, recall, freshness, and cost trade-offs in retrieval systems
• Familiarity with the AI lab and inference landscape, including who trains and serves frontier models, which frameworks agents run on, and who competes for the same query workload
• Genuine mission alignment with making the world's knowledge accessible to agents

Benefits and work setup

• Competitive compensation with meaningful early-stage equity
• Premium medical, dental, and vision coverage plus a Health Savings Account
• 401(k) retirement plan
• Flexible time off with trust-based autonomy over scheduling
• Access to meaningful compute and infrastructure for experimentationSmall, high-talent team with direct exposure to frontier customers
• Bay Area preferred, with frequent in-person demos at customer offices
• Interview process modeled on real work rather than trivia, with fast decisions when there is mutual excitement