Endgame
AI
ForwardDeployedEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Forward Deployed Engineer at Endgame. Skills: Customer-facing engineering, Applied AI, Data Engineering, LLMs in production, Building production software. Work side by side with GTM teams to use Endgame's AI platform and deliver measurable impact. Partner with a single salesperson from pre-sales demos through close, then stay paired with them post-close”
What You'll Achieve.
Deliver measurable impact; Maximize value from the Endgame platform; Ensure customers take full advantage of the platform; Level up the customer's team
Industry & Context.
Translating customer needs into working systems; Creating proactive solutions
Comfortable on-call
What They're Looking For.
Must Have
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, Prior customer-facing engineering experience (FDE, solutions architect, partner engineer, implementation engineer, or similar), Taste for what "production-grade" actually means, A good teacher
Nice to Have
agentic patterns, MCP and tool-use, RAG architectures, structured output, fact extraction
What You'll Do.
Work side by side with GTM teams to use Endgame's AI platform and deliver measurable impact
Partner with a single salesperson from pre-sales demos through close
then stay paired with them post-close
Own initial configuration and onboarding
Partner with technical champions to stand up use cases on Endgame
Build with the customer
Work with multiple personas: new users unfamiliar with AI
managers looking to make their teams more effective
Pair with sales to technically align Endgame with their systems and advise on best practices
Lay the foundation post-close
run a build → pilot → GA loop for every use case
and build with the customer
Drive adoption end-to-end: equip the champion to evangelize internally
create proactive solutions
and re-engage when adoption stalls
Be the technical voice in security and architecture reviews
and GTM Engineering leads through how Endgame fits into their AI stack
and surfacing deal-cycle risks (stalled integrations
missing admin access) early
Build relationships with technical champions and stay close to the work they're doing on Endgame
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
How You'll Work.
Team & Collaboration
Work side by side with GTM teams; Partner with a single salesperson; Collaborate closely with Sales, Product, and Engineering; Sit in R&D syncs; Collaborating across diverse teams
Communication Scope
Technical voice in security and architecture reviews; Walking CIOs, CTOs, CISOs, and GTM Engineering leads through how Endgame fits into their AI stack
Process & Methodology
Run a build → pilot → GA loop for every use case
Full Job Description
ABOUT ENDGAME 🌎 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. YOUR MISSION 🚀 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 age
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