Growth Engineer

Composio • San Francisco, CA

14h

About The Position

At Composio, we're building the infrastructure that lets agents talk to your work tools — Github, Gmail, Notion, Salesforce, and hundreds more. We're a small team of engineers solving hard problems across context, search, and execution to provide the most capable bridge between your agents and your tools.
We raised a $25M Series A from Lightspeed with angels like Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of Hubspot), and Gokul Rajaram. Earlier this year we 3x'd our ARR (and we're only getting started). Our customers range from YC startups to Wabi, Glean, Zoom, and many more.
The role
We're looking for a growth engineer who builds things fast, measures what matters, and isn't precious about throwing away what doesn't work.
You'll sit at the intersection of product, marketing, and engineering - spinning up experiments, building viral surfaces, and using data to figure out what's actually moving the needle. You live in the AI ecosystem: you know what people are building, what's broken, what just launched, and what the timeline is arguing about this week. You have strong opinions on what we should be building.
Our growth philosophy is shots on goal. We'd rather ship ten experiments and find one that works than spend a month perfecting a single bet. Velocity and signal come first - polish comes after you've proven traction. That means building fast, measuring honestly, cutting what isn't working, and doubling down on what is.

Requirements

• Builder energy - you've shipped real things, quickly. You have a bias toward making something exist over talking about making something exist.
• Bias toward action - you're comfortable operating with a direction, not a linear ticket. Give you a goal and some context and you'll figure out the rest. You're comfortable shipping something incomplete as long as it can get signal.
• Comfort with Frontend work - you have product taste and can create (at least a passable) frontend without a design.
• Analytically sharp - you're comfortable setting up tracking, writing queries, and digging into funnels. You form hypotheses, test them, and update your beliefs based on what the data says.
• Comfort with disposability - you don't get emotionally attached to code. You can build something, learn it doesn't work, and archive it without flinching.
• Steeped in AI culture - you're not just building with LLMs, you're immersed in the world around them. You know what openclaw is - and when something new drops, you're already thinking about what to build with it.

Nice To Haves

• You've done growth engineering or product engineering at a startup before
• You've built something that went viral, even if by accident
• You have a presence in the AI community
• You've started a company or run a meaningful side project
• You read this far down

Responsibilities

• Build small, sharp products and experiments designed to drive awareness, activation, and adoption - often in a day or less
• Maximize shots on goal: scope aggressively, ship quickly, and let real usage data tell you what deserves more investment
• Instrument everything, dig into the data, and let signal (not intuition alone) guide what you build next
• Own growth surfaces end-to-end: concept, design, frontend, shipping, measurement

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed