Principal Software Engineer

Endgame; Deutschland; On-site; EUR 70,000 - 100,000; 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

Menlo Ventures seeks a skilled engineer to build and evolve the MCP server and agent tool surfaces at Endgame. You'll design APIs and shipping frontend features, ensuring quality and performance in every deployment.

The ideal candidate has a deep understanding of TypeScript and JavaScript, and will leverage experience with agent tool surfaces to enhance our products. Benefits include competitive compensation, flexible time off, and health insurance.

Qualifications

• Experience designing and implementing LLM and agent tool surfaces.
• Strong instincts for product and customer needs.
• Deep experience with modern coding tools and practices.

Responsibilities

• Build and evolve the MCP server and agent tool surfaces.
• Design and ship frontend features alongside the core UI.
• Manage API layer authentication and observability.
• Wire new data sources into the product.
• Translate ambiguous goals into engineering scope.
• Own quality on the surfaces shipped.

Skills

Deep understanding of TypeScript and JavaScript

Familiarity with Python

Experience with LLM and agent tool surfaces

Developing APIs with focus on observability

Strong product instincts

Deep experience with agentic coding tools

Collaborative action and decision making

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 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 [e-mail].