Forward Deployed Engineer

Endgame; United States; On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Competitive compensation and equity

401k, health, dental, and vision insurance

Flexible time off

Paid parental leave

Education stipend

Job summary

Endgame is looking for a Forward Deployed Engineer to work closely with go-to-market teams, enhancing the use of their AI platform. You'll engage directly with customers, ensuring they maximize the platform's value through onboarding and ongoing support. Ideal candidates will have 5+ years in software development, customer-facing roles, and a strong understanding of production-grade systems. Enjoy competitive compensation, benefits like flexible time off and an education stipend as part of a dynamic team transforming the market landscape.

Qualifications

• 5+ years building production software, comfortable in Python or TypeScript.
• Hands-on experience with LLMs in production environments.
• Prior customer-facing engineering experience.

Responsibilities

• Pair with sales to align Endgame with customer systems.
• Run a build → pilot → GA loop for each use case.
• Drive adoption end-to-end and monitor usage metrics.

Skills

Customer-facing experience

Production software development

Python or TypeScript

Understanding of LLMs

Teaching and mentoring

Job description

Overview

Endgame is building the context engine for go-to-market. The bet underneath the company is that 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. Endgame provides entity resolution across CRM and conversational data, fact extraction with provenance, retrieval that respects permissions and recency, and a methodology encoded as first-class structure. The output is 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 are 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, and work with multiple personas: new users unfamiliar with AI, managers aiming to improve team effectiveness, and power users who want guidance on stitching complex workflows with managed agents and MCP. This is a technical and business role for someone who loves translating customer needs into working systems and ensuring customers take full advantage. You\'ll collaborate closely with Sales, Product, and Engineering — including a seat in our R&D syncs, where customer reality shapes what gets built. Forward Deployed Engineers 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 improve their work.

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, monitor usage metrics, create proactive solutions, and re-engage when adoption stalls.
• Be the technical voice in security and architecture reviews, guiding CIOs, CTOs, CISOs, and GTM Engineering leads on how Endgame fits into their AI stack, and surface deal-cycle risks early (such as stalled integrations or missing admin access).
• Build strong relationships with technical champions and stay close to the work they’re doing on Endgame.
• Participate in R&D syncs and influence roadmap discussions by bringing customer realities into the process and contributing to the codebase when it matters.

Our Ideal Candidate

• An engineer who enjoys being in front of customers — comfortable in a working session with a CRO and in writing integration code that night.
• 5+ years building production software. Comfortable in Python or TypeScript, shipping to production, and on-call.
• Hands-on with LLMs in production: agentic patterns, MCP and tool-use, RAG architectures, structured output, and fact extraction.
• Prior customer-facing engineering experience (FDE, solutions architect, partner engineer, implementation engineer, or similar).
• Strong sense of what "production-grade" means; able to distinguish between prototype and robust infrastructure for 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 [e-mail].