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GTM Lead (NYC)

Full-time

Lava

GTM Lead (NYC)

Lava: The connector to every LLM, API, and MCP.

Join Lava's team in shaping how people and AI build, monetize, and work together.

About Lava

Lava ( is a universal connector to every LLM, API, and MCP, powering an integrated workspace and productivity with no key sprawl to manage. Lava also gives developers and businesses a way to get paid for the agents and services they list in the gateway, with no billing stack to build.

  • The Lava app puts an agent inside the real apps people already use, so it can act across them instead of just describing what to do.
  • You describe the task in plain language and the agent handles the workflow.
  • Lava MCP drops that same access into AI tools.
  • One connection to 200+ providers.

Build is Lava's monetization tool. Developers plug into the Gateway to route calls and set flexible pricing strategies. Lava handles the entire revenue lifecycle, metering, access control, and payouts, with zero code required on the merchant's side.

Our mission is to make it effortless for people and AI to work together. We're looking for early engineering hires to help define how and what we build.

What You'll Do

  • Own go-to-market end to end: messaging, channels, and the handoff between product and revenue.
  • Run outbound and inbound sales motions with early customers and design partners, from first call to signed deal, using Lava's own AI sales tools to move faster.
  • Partner directly with the founder and engineering team to translate customer feedback into product decisions.
  • Build and test growth channels (content, partnerships, developer communities, paid) and double down on what works.
  • Define and track the metrics that matter: pipeline, activation, usage-based revenue growth, retention.
  • Represent Lava at events, in developer communities, and in front of prospective merchants and users.
  • Stand up the early GTM stack and processes (CRM, outreach tooling, reporting) as the team's first commercial hire.

What We're Looking For

  • Experience in growth or technical sales, ideally at a SaaS company selling to developers or other technical buyers.
  • Comfortable owning a number and being measured against it.
  • Able to hold a credible conversation with engineers about APIs, billing, or infrastructure concepts. No coding is required, but you need enough fluency to build trust with a technical audience.
  • Comfortable using AI tools as part of your daily workflow, prospecting, follow-up, and pipeline management.
  • Scrappy and hands-on: you've built a process or channel from scratch, not just operated inside an existing one.
  • Strong written and verbal communicator who can represent the company externally.
  • Comfortable with ambiguity and moving fast in a small team without an existing GTM playbook.

Why You'll Love This Role

  • Shape the go-to-market for an entirely new category, one with no existing playbook and no established way to sell it.
  • Work in a small, tight-knit, and highly motivated team that stays focused on outcomes, without unnecessary process or distractions.
  • Work directly with a founder who's hands-on with product, not just strategy, so your customer feedback actually shapes what gets built next.
  • Be part of a company operating at the cutting edge of AI, where speed, ownership, and impact matter more than process.
  • The media is already excited about what we're building: read our TechCrunch feature here (
  • Direct influence over positioning, messaging, and which customers Lava chases first.
  • Help shape how the trust layer, access layer, and financial backbone of the AI web get built.

Location & Work Authorization

  • This is an in-person role based out of Lava's New York City office.
  • Candidates must currently be authorized to work in the United States; Lava is unable to sponsor visas at this time. 

If you're excited about owning big problems, building products people need, and having a direct hand in how the future of AI commerce works, we'd love to talk.

Vacancy posted 23 days ago
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