Growth and Data Engineer

Job description

At Composio, we are building infrastructure that allows agents to communicate with the tools you use for work including Github, Gmail, Notion, Salesforce, etc. We are a small team of engineers wrangling problems from context to search, that help us provide the most capable bridge between your agents and your tools. We raised a $25M Series A from Lightspeed https://lsvp.com/stories/investing-in-composio-building-the-backbone-of-ai-agent-intelligence/ with some incredible angels like Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of Hubspot), Gokul Rajaram. Beginning of this year we 3x our ARR, our customers range from your friends in the YC batch to Wabi, Glean, Zoom and many more. Our product is used by prosumers (MCP / CLI), developers (SDK), and enterprises. The job of the growth team is to increase usage and revenue across all three products. We accomplish this with a ruthless focus on analytics to inform the products we ship, features we highlight, and leads we hand off to sales. We're looking to hire a talented engineer who is as comfortable in SQL as they are in nextJS - someone who's excited to own the analytics foundations of the company and use it to drive our next phase of growth. WHAT YOU'LL DO? - Own our data foundation. Build and run the data lake and analytics stack that ties together all three products - MCP/CLI, SDK, and enterprise. You'll own Snowflake end to end: building pipelines, modeling clean generated tables, keeping the data trustworthy, and being the person who can answer the questions nobody else can. - Turn behavior into decisions. Dig into how people actually use Composio, chase down the trickiest analytics questions, and translate what you find into roadmap calls - what to double down on, what to kill, and what deserves the next bet. This work directly guides where product invests. - Build the product-led sales engine. Instrument our funnels and flag PLS signals into Snowflake so consumer and developer usage becomes a clean, agile handoff to sales. Connecting a prosumer's MCP usage or a developer's SDK adoption to the right enterprise conversation is core to how we grow. - Ship growth features in the product. You're as comfortable in Next.js as in SQL. You'll build in-product upsells, sharpen onboarding and ship new onboarding flows, and drive in-app actions like booking a sales meeting - without ever making it feel bolted on. The experience stays delightful. - Own activation and retention. Run email activation and reactivation campaigns, close funnel gaps, and take these problems from goal to shipped without waiting for a PM to turn them into tickets. - Scope ruthlessly. Ship the narrow, signal-generating version today, read the data, then either kill the idea or build it properly. - Work across the company. Partner with product, sales, marketing, and engineering to turn distribution ideas into shipped product. WHAT WE'RE LOOKING FOR The data instinct is the part that's hard to teach. Strong engineers can round out the rest quickly, so we weight it accordingly. - Data fluency (non-negotiable). You write SQL fluently, are at home living in a warehouse like Snowflake, and can model data, stand up tracking, build dashboards, and reason clearly from messy funnel data. You're genuinely curious about user behavior and driven to answer the hardest questions. This is the heart of the role. - Strong engineer. You ship polished frontend and backend systems and context-switch across codebases without losing speed. If your product-engineering chops are still catching up to your data ability, that's fine - we'd rather hire a great data mind who's hungry to round out the full stack than the reverse. - Growth taste. You know the difference between a cheap experiment and a sloppy product, and you'd rather ship a narrow signal-generating version today than a perfect unknown next week. - AI-native. You build with LLMs and keep up with what's happening in the ecosystem. - Owner. You take a goal, decide what to build, ship it, measure whether it worked, and flex across all of the above. - Human. You build trust and admit what you don't know. STRONG PREFERENCE FOR - Hands-on experience with Snowflake (or a comparable warehouse) in production — modeling, pipelines, and performance - Fluency with Next.js and modern full-stack web development - Prior growth or product engineering at a startup BONUS POINTS - You've built something that got real traction - A presence in the AI community through open source, writing, or building in public - Interest in owning performance marketing and media mix modeling — measuring and disentangling what's actually driving growth across channels