Why this role stands out
This role offers a unique opportunity to shape cutting-edge AI products for revenue acceleration at a rapidly growing, Sequoia-backed company. You'll thrive here if you're passionate about building reliable systems on top of complex AI and want to make a significant impact on the future of GTM technology. Apply now to architect core agent experiences and drive innovation in the AI space!
Quick overview
Job description
What we're building
Mutiny is the self-improving AI infrastructure for GTM teams to execute faster and close more revenue. Our ambition is to do for revenue velocity what Cursor and Claude Code did for engineering velocity. With Mutiny, everyone in sales and marketing gets a bench of GTM athletes that handle any work across their revenue motion and learn from what's actually moved their deals.
In April we re-launched the product as an agent-first platform. Anthropic showcased us as a leader in AI GTM. MRR is growing more than 70% month-over-month, with customers like Uber, Rippling, and Snowflake. We're backed by Sequoia, YC, and Insight, and we're building a generational company.
The opportunity
Most engineers spend their career making predictable systems faster. You'll spend yours making non-deterministic ones trustworthy. As a senior engineer on our AI product team, you'll architect the Campaign Builder and Agent experiences marketers and sellers open every day to go from idea to personalized assets in minutes. You'll partner directly with product, design, and the founders to define what an agent-first GTM platform should feel like, and your calls on architecture, evals, and guardrails compound across thousands of customer accounts. This role is in person in New York City, five days a week, and we ship weekly.
What you'll own
The core agent surfaces. Architect and ship the Campaign Builder and Agent experiences end-to-end. Frontend, backend, prompts, evals, the whole stack.
Reliability on top of LLMs. Make non-deterministic models feel deterministic at the surface. Build the retries, fallbacks, and orchestration so the customer never sees the failure mode.
Evals and guardrails. Define how we measure quality, catch regressions, and keep brand and tone consistent across thousands of customer accounts.
Speed and feel. AI products live or die by latency and the loop between intent and output. You'll obsess over both, and use coding agents and agent networks to ship faster than felt possible last year.
Product definition. You're not waiting for a spec. You sit with product and design, prototype the hardest interactions yourself, and decide what ships.
The next ten engineers. What you ship defines how we build. Code review, hiring, and the architectural calls that shape the next year.
Who you are
Full-stack by instinct. You're autonomous from prompt to backend to UI. You'd rather own a feature end-to-end than hand off pieces and hope.
AI-native. You've shipped on top of LLMs in production. RAG, evals, agent frameworks, coding agents. You know which abstractions hold up at scale and which were research-paper hype.
Sharp at the fundamentals. You're strong in a backend language (Python, TypeScript, Kotlin, Ruby, pick your weapon) and you write code that still reads well a year later.
A clear communicator. You explain nuanced technical decisions in writing and in real time. Your design docs make the room smarter.
Builds in ambiguity. Specs are sketches at Mutiny. You'd rather prototype the hard interaction yourself than wait for clarity.
Raises the bar. You make the engineers around you better. Sharp in code review, generous with junior engineers, direct when something is wrong.
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