---
title: 'Principal Software Engineer at Endgame'
canonical: 'https://feeny.ai/job/principal-software-engineer-endgame-remote-848kexjm3tz8'
type: 'job'
last_seen: '2026-09-10'
---

# Principal Software Engineer at Endgame

- **Company:** Endgame
- **Location:** Remote
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-06-29
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/endgame/a4395505-64e4-4b92-ba60-66dd44115499/application

**Skills:** TypeScript, JavaScript, Python, LLM tool surfaces, Agent tool surfaces, Context management, API design, Observability, Authentication, Agentic coding tools, Modern testing practices, Salesforce, CRM systems, Sales tooling, SDKs, Developer-platform infrastructure

> Endgame seeks a Principal Software Engineer to build and evolve AI agent tool surfaces, frontend features, and public APIs. The role involves designing scalable systems, integrating data sources, and ensuring high-quality, observable engineering practices within an AI-native team.

## Job description

## About Endgame 🌎

Endgame is the context graph for every GTM agent. We process every call, deal, and playbook into structured knowledge that both humans and AI agents can act on — 140× faster and a fraction of the cost of throwing raw data at an LLM. Revenue teams at Monte Carlo, BetterUp, Braze, and dozens of other leading companies use Endgame as their source of truth. Instead of context scattered across fifteen disconnected systems, their reps, managers, and CS teams — and the agents working alongside them — all operate from the same structured view of every customer and every deal. We've raised $47.5M from EQT Ventures, Menlo Ventures, Upfront Ventures, and Unusual Ventures, plus executives from Zoom, Stripe, Notion, and Airtable. We're a team of ~25, mostly engineers, and we build production systems with real architecture — not prototypes.

## How we build 🛠️

We're an AI-native engineering team. Agentic coding tools are integral to how we build and ship 15-20 times daily, if not more. We build with Claude Code, Cursor, and Copilot, and we're constantly sharing what works and what doesn't. We move fast, we're not afraid to throw things away, and we keep the bar high because customers depend on us. You'll help push that culture forward.

## What you'll do 🚀

- Build and evolve the MCP server and agent tool surfaces that AI clients use to query Endgame's context graph — designing tool schemas, managing context windows, and making sure every tool call returns the right data fast.
- Ship the frontend features, tRPC routes, and React components that customers interact with daily — from admin dashboards to the core product UI.
- Design and harden the public API layer: authentication, Redis-backed rate limiting, quota enforcement, and the observability to know when something goes wrong.
- Wire new data sources into the product by integrating with the context graph and making that data available through both human-facing UI and agent-facing tool surfaces.
- Translate ambiguous product goals into concrete engineering scope, then ship it. You'll work closely with product, design, and the rest of engineering, and you'll often be the person turning a customer pain point into a novel solution.
- Own end-to-end quality on the surfaces you ship: performance, reliability, security, observability. AI raises the floor, your taste raises the ceiling.

## What we're looking for 🏅

- Deep understanding of the TypeScript and JavaScript ecosystem. You've built and maintained serious systems in it, not just touched it.
- Familiarity with Python.
- Experience designing and implementing LLM and agent tool surfaces, including the tools themselves and the context management around them.
- Experience with frontier AI models in production in cloud environments.
- Experience developing APIs with a real focus on observability and authentication.
- Strong product instincts. You can take an ambiguous product requirement and translate it into deliverable engineering scope.
- Deep experience with agentic coding tools and modern testing practices. You use AI coding tools daily, have opinions about them, and know when to trust the agent versus reading the diff yourself.
- You default to collaborative action. You write, you share early, you make decisions reversible when you can.
- Bonus: prior experience with revenue-data systems (Salesforce, CRMs, sales tooling) or developer-platform infrastructure (SDKs, APIs, agent tooling).

## 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.

## 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)

## Other roles at Endgame

- [Forward Deployed Engineer](https://feeny.ai/job/forward-deployed-engineer-endgame-remote-06dp020t7ay5)
- [Account Executive](https://feeny.ai/job/account-executive-endgame-bay-area-q0kwyphyjp6p) — Bay Area
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