Forward Deployed Engineer

Endgame is building the context engine for go-to-market. The bet underneath the company: the hard part of applied AI isn't the model — it's getting the right context to it. Real enterprise data is messy. Duplicated contacts across seven systems, deals referenced by nickname in Slack, methodology that lives in someone's head. Models can't reason their way out of that. You have to do the work upstream.

So that's what we do. Entity resolution across CRM and conversational data, fact extraction with provenance, retrieval that respects permissions and recency, methodology encoded as first-class structure. The output: a layer that powers both day-to-day GTM work and the agents teams build on top of it — agents that work in production, not just demos. Companies like Monte Carlo, BetterUp, Braze, Hex, and Vistra run their revenue motion on it.

We're a small, technical team solving specific, unsolved problems at the boundary of data engineering and applied AI. If that's the work you want to be doing, we'd like to meet you.

As a Forward Deployed Engineer, you'll work side by side with GTM teams to use Endgame's AI platform and deliver measurable impact. Sales is full-cycle here, so you'll partner with a single salesperson from pre-sales demos through close, then stay paired with them post-close (no CSM handoff). You're comfortable operating with a virtual badge or as an external advisor -- no matter how the customer wants to engage, you find ways to help them maximize value from the Endgame platform and are seen as their go-to resource for all things AI in GTM.

Post-close, you'll own initial configuration and onboarding, partnering with technical champions to stand up use cases on Endgame.

You'll build with the customer, not for them. You'll work with multiple personas: new users unfamiliar with AI, managers looking to make their teams more effective, and power users who want your advice on stitching complex workflows together with managed agents and MCP.

This is a technical and business role for someone who loves translating customer needs into working systems and making sure customers take full advantage. You'll collaborate closely with Sales, Product, and Engineering — including a seat in our R&D syncs, where your customer reality directly shapes what gets built. FDEs at Endgame have real influence over product direction and the codebase itself. Every project will teach you something new about how modern go-to-market teams operate, and how AI can change their work for the better.

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  Pair with sales to technically align Endgame with their systems and advise on best practices.

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  Lay the foundation post-close, run a build → pilot → GA loop for every use case, and build with the customer, not for them.

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  Drive adoption end-to-end: equip the champion to evangelize internally, watch usage metrics, create proactive solutions, and re-engage when adoption stalls.

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  Be the technical voice in security and architecture reviews, walking CIOs, CTOs, CISOs, and GTM Engineering leads through how Endgame fits into their AI stack, and surfacing deal-cycle risks (stalled integrations, missing admin access) early.

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  Build strong relationships with technical champions and stay close to the work they're doing on Endgame.

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  Sit in R&D syncs and shape what we build next — bring customer reality into roadmap conversations and contribute to the codebase when it matters.

• An engineer who likes being in front of customers — equally comfortable in a working session with a CRO and writing the integration code that night.

• 5+ years building production software. Comfortable in a Python or TypeScript codebase, comfortable shipping to production, comfortable on-call.

• Hands-on with LLMs in production: agentic patterns, MCP and tool-use, RAG architectures, structured output, fact extraction.

• Prior customer-facing engineering experience (FDE, solutions architect, partner engineer, implementation engineer, or similar).

• Strong taste for what "production-grade" actually means; you can tell the difference between a vibe-coded prototype and infrastructure that holds up under real workflows.

• A good teacher — the customer's team levels up when they work with you.

• Comfortable in a fast-paced startup environment, adapting quickly and collaborating across diverse teams.