---
title: 'Forward Deployed Engineer at Endgame'
canonical: 'https://feeny.ai/job/forward-deployed-engineer-endgame-remote-06dp020t7ay5'
type: 'job'
last_seen: '2026-09-10'
---

# Forward Deployed Engineer at Endgame

- **Company:** Endgame
- **Location:** Remote
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-05-14
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/endgame/bbd53a1c-ce07-4a4c-8b3d-ee05a36e7c5a/application

**Skills:** Python, TypeScript, LLMs, Agentic patterns, MCP, RAG architectures, Fact extraction, Production software development

> As a Forward Deployed Engineer, you will partner with GTM sales teams to deliver measurable impact by building and configuring the Endgame AI platform for enterprise customers. You will own initial setup, onboarding, and adoption strategies while collaborating with sales, product, and engineering to translate custom...

## 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 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.

## Your Responsibilities 🗓

- 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, not for them.
- Drive adoption end-to-end: equip the champion to evangelize internally, watch usage metrics, create proactive solutions, and re-engage when adoption stalls.
- 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.
- Build strong 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.

Our Ideal Candidate 🏅

- 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.

## Benefits 🏆

- Competitive compensation and equity
- 401k, health, dental, and vision insurance
- Flexible time off
- Paid parental leave
- Education stipend

The qualifications listed in our job descriptions are meant as guidelines, not strict requirements. You don't need to meet every qualification to apply — if you believe your skills and experience make you a strong candidate, we want to hear from you. Apply directly or reach out to us at hiring@endgame.io. The qualifications listed in our job descriptions are meant as guidelines, not strict requirements. You don’t need to meet every qualification to apply—if you believe your skills and experience make you a strong candidate, we want to hear from you! Apply directly or reach out to us at hiring@endgame.io.

## About Endgame

## Company Overview
- **One-liner**: Endgame builds an AI-powered context graph that unifies sales data to help enterprise GTM teams turn sellers into trusted advisors.
- **Entity Type**: Private (Series B? - $47.5M raised since 2021)
- **Headquarters**: San Francisco Bay Area, California, USA (hybrid)
- **Founded**: 2021
- **Founders**: Tara Brodene (CEO) and Kyle Wild (CTO)

## Core Business
- Primary industry: Enterprise sales intelligence & AI-native GTM infrastructure
- Target customers: B2B enterprise revenue organizations (GTM teams – Sales, RevOps, Marketing)
- Mission: “We help humans think and work better” by turning every seller into a trusted advisor through deep buyer understanding

## Products & Services
- **Endgame Context Graph**: A unified intelligence layer that ingests data from emails, calls, CRM, 10‑Ks, news, and internal docs. It pre‑organizes data and delivers grounded, cited answers to sales reps, agents, and orchestrators (Claude, Slack, CLI, etc.). Key differentiators include 98% answer accuracy, 140× faster lookups than raw‑AI approaches, 40× cost reduction, and SOC 2 / ISO 27001 compliance.

## Market Standing
- **Valuation**: Not publicly available (private company)
- **Key Metric**: Total Funding – $47.5M raised since inception in 2021 (no specific round breakdown disclosed)
- **Notable Investors/Partners**: Menlo Ventures, Upfront Ventures, Unusual Ventures, EQT Ventures; also executives from Zoom, Airtable, Stripe, and Notion
- **Growth Signals**:
  - 21 team members as of mid‑2026
  - Measured product metrics: 202 answers served in eight weeks, 113,000+ answers delivered to sales teams, 21 answers per day average
  - Active hiring for Forward Deployed Engineer, Founding Product Marketer, Head of Sales, and other GTM roles
  - Backed by top‑tier VCs and angel investors from notable tech companies

## Competitive Advantages
- **Pre‑organized context graph** that allows AI queries to be 140–330× faster and 40× cheaper than reading raw sources each time.
- **Grounded accuracy** – every answer links back to the real file, with 98% factual match rate.
- **Model agnostic** – routes across OpenAI, Anthropic, and open‑source models with no lock‑in.
- **Full‑stack enterprise readiness** – SOC 2/ISO 27001 certified, encryption in flight/at rest, role‑based access control, and dedicated forward‑deployed engineers.

## Strategic Focus
- Scaling the context graph across the entire enterprise GTM stack – from CLI to Slack to agent orchestrators.
- Deepening integrations with existing sales workflows (CRM, calls, emails) and expanding into autonomous agent workflows.
- Building a high‑trust, customer‑centric culture (“Start with the Customer”) to fuel repeatable growth.

## Why Work Here
- **Culture**: “Challenge with Care” – open idea exchange without ego; “Be an Owner” – accountability and ownership; “Add Value Quickly” – bias for action.
- **Work Policy**: Bay Area (Hybrid) – all open roles listed as hybrid.
- **Team Size**: Small (~21 people), so employees have outsized impact and cross‑functional exposure.
- **Engineering‑led**: Forward‑deployed engineers work directly with customers on production use cases; strong emphasis on real architecture, real compliance, and being paged when things break.
- **Perks**: Not explicitly listed, but culture highlights include continuous learning (“Stay Curious”) and a tight‑knit, low‑ego team backed by world‑class investors.

## Sources
1. [endgame.io/careers](https://www.endgame.io/careers)
2. [endgame.io/about](https://www.endgame.io/about)
3. [endgame.io](https://www.endgame.io/)
4. [linkedin.com/company/endgamelabs](https://www.linkedin.com/company/endgamelabs)
5. [indeed.com/cmp/Endgame](https://www.indeed.com/cmp/Endgame)

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