The Challenge
Composio just 3x'd ARR and raised $25M Series A to build the agent-to-tools infrastructure layer. You'll own growth end-to-end-from shipping activation flows to instrumenting funnels-in a space where every feature compounds.
Your Mission
Ship 3-4 growth experiments (onboarding flow, referral system, or activation feature) with full instrumentation and measurable impact on conversion or retention
Build internal dashboards mapping user drop-off points across the funnel and identify top 2-3 levers for improvement
Design and deploy a backend system supporting one major growth initiative (referral mechanics, usage-based triggers, or cohort-based targeting)
Establish baseline metrics for activation, retention, and feature adoption; set growth targets for next quarter
Deliver 8-10 validated growth experiments; at least 2 should be scaled into permanent product features
Increase activation rate by 15-25% through optimized onboarding, feature discovery, or cohort targeting
Build predictive churn model or usage intelligence dashboard to inform retention strategy
Own and scale the top 2 growth channels (referral, community signups, or integration-driven activation) with clear unit economics
KPIs You'll Own
Activation Rate
% of signups completing core action (first successful tool integration or API call) within 7 days.
Feature Adoption (New Experiments)
Weekly active users engaging with newly shipped growth features as % of total DAU.
Retention Cohorts
Week-4 and Week-12 retention rates by acquisition cohort and feature exposure.
Funnel Conversion
Signup → Onboard → First Integration → Paid conversion rates at each step.
Experiment Velocity
Experiments shipped per month with statistical significance; win rate (% positive impact).
Tools & Stack
Your Team
Your Manager
Not specified; likely VP/Head of Growth or CTO
Current Team
Small team of engineers; exact headcount unknown
New growth engineering role
The Package
Salary
$160K-$200K
Equity
Likely; not specified
Remote
On-site in San Francisco, CA
Benefits & Perks
Company Intelligence
Composio builds infrastructure bridging AI agents to enterprise tools (GitHub, Gmail, Notion, Salesforce, etc.). Founded with backing from Lightspeed Venture Partners and angels including CEO of Vercel and CTO of HubSpot. Just 3x'd ARR and serving customers from YC batches to Wabi, Glean, and Zoom.
Funding
$25M Series A (Lightspeed Ventures)
Customers
YC companiesWabiGleanZoom
Culture
Small, scrappy, builder-oriented; ruthlessly focused on signal over perfection; embrace shipping incomplete work to learn fast
Is This Role For You?
- You ship features across the full stack (React + backend + SQL) without needing handoffs or permission to start
- You live in data; you write SQL, set up tracking, and let funnels guide your next move-not gut feel
- You're fluent in AI/LLMs and actually building with them; you follow the ecosystem and see opportunities others miss
- You thrive with ruthless scope and incomplete specs; you'd rather ship a rough MVP in 3 days than a perfect feature in 3 weeks
- You want to feel growth move because of *your* code and ideas, not just support a PM's roadmap
- You need detailed specs, clear approval chains, and someone else to build the other half of your idea
- You prefer deep dives in one area over context-switching between frontend, backend, and data problems
- You're uncomfortable with ambiguity or need a manager to validate every decision; you won't take ownership independently
- You're not comfortable working on-site in San Francisco full-time
Interview Process
Screen
Conversation about shipping speed, growth mindset, and full-stack capabilities; they'll probe past examples
Technical Round
Likely a system design or take-home project; expect full-stack (frontend + backend) or growth metrics scenario
Growth Conversation
How you'd approach a growth problem end-to-end; hypothetical activation or retention scenario
Founder/CTO Chat
Talk about the product, the AI ecosystem, long-term vision; expect questions about your startup hunger
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About Growth Marketing roles
Growth marketers drive user acquisition, activation, and retention through data-driven experimentation. They sit at the intersection of product, data, and marketing — running A/B tests, building funnels, and scaling what works.