---
title: 'Founding Talent Architect at Composio'
canonical: 'https://feeny.ai/job/founding-talent-architect-composio-san-francisco-5tw88x5jaq8s'
type: 'job'
last_seen: '2026-09-10'
---

# Founding Talent Architect at Composio

- **Company:** Composio
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-05-01
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/composio/45ecceb2-03c3-4b9e-99eb-7c50b3d1c401

## 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. What you'll do?

- own sourcing across every open role - Github, X, hackathon leaderboards, paper authors, open source communities, and the places our customers live
- run technical screens yourself: read code, ask useful follow-ups, and separate signal from noise
- build the recruiting playbook we do not have yet - outreach, rubrics, calibration, scorecards, and weekly hiring reviews
- own pipeline metrics and tell us where the system is broken: conversion, source quality, time to offer, and offer acceptance
- partner with engineering and GTM leads to turn vague hiring needs into target profiles, sourcing plans, and screens we trust
- dogfood Composio to automate outreach, candidate tracking, and reporting

"Must haves" if you are very good, nothing is a must per-se

- technical recruiting
- you can read code well enough to evaluate a take-home or Github profile without an engineer in the room
- you have built a recruiting process from scratch, not just inherited one
- operator - you can bring structure to ambiguous hiring needs and keep the loop moving without founder babysitting
- ai native
- you use LLMs in your daily workflow
- you are comfortable writing small scripts or agents to automate repetitive work
- typist - you can write clear outreach, rubrics, docs, and hiring notes
- human - you build trust and admit what you do not know

Optional

- founding recruiter or agency experience at a developer tools or infra company
- experience hiring across both engineering and GTM
- presence in developer communities through events, Discord, X, or open source

## About Composio

## Company Overview
- **One-liner**: Composio provides the infrastructure for AI agents to seamlessly integrate with 250+ tools, enabling agentic actions, managed authentication, and evolving tool skills through collective learning.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2023
- **Founders**: Soham Ganatra, Karan Vaidya

## Core Business
- **Primary industry/industries**: AI Agent Infrastructure, Developer Tools, LLM Operations (LLMOps), Integration Platform as a Service (iPaaS)
- **Target customers**: B2B – developers building AI agents, enterprise teams deploying LLM-based workflows, and companies needing secure, scalable tool integrations for autonomous agents
- **Mission or purpose**: “Build infrastructure that enables AI agents to evolve – turning static tools into systems with genuine intuition, where every interaction makes the entire ecosystem smarter.”

## Products & Services
- **Composio Platform**: A SaaS/API platform that provides managed OAuth, sandboxed execution environments, context-aware sessions, tool search, and triggers. It allows AI agents to connect to 250+ apps (CRMs, HRMs, ticketing, productivity, etc.) with zero setup and supports multiple AI frameworks (OpenAI, Anthropic, LangChain, LlamaIndex, Gemini, etc.).
- **Rube (MCP Server)**: A Model Context Protocol server that connects AI tools (Cursor, Claude Code, VS Code) to 500+ apps like Slack, GitHub, and Notion, enabling real actions via natural language.
- **SDKs (Python & TypeScript)**: Open-source SDKs for building custom agent integrations, with full type safety and support for both Node.js and browser environments.
- **Managed Auth**: End-to-end OAuth handling, token refresh, lifecycle management, and granular permission scoping – all inline and triggered by user intent.

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total Funding – $29M (Series A announced July 2025, led by Lightspeed Venture Partners; seed round led by Together Fund)
- **Notable Investors/Partners**: Lightspeed Venture Partners (lead Series A), Together Fund (lead seed), plus 11 other investors in the Series A round
- **Growth Signals**: 52 employees (+151.9% YoY), 14,326 LinkedIn followers (+221.8% YoY), 991k monthly website visits (+35.1% YoY), 29k+ GitHub stars, 70+ contributors, 19 active job postings (postings up 58.3% monthly), offices in San Francisco, India, Canada, Nepal, and Colombia

## Competitive Advantages
- **Model & Framework Agnostic**: Works with all major AI providers and SDKs – no lock-in; tools and auth carry over when switching models.
- **Managed Auth at Scale**: Fully managed OAuth for every connector, with just-in-time, scoped permissions – eliminates the biggest integration barrier for enterprise LLM deployment.
- **Sandboxed Execution**: Remote ephemeral sandboxes where tools run as code; results stored on a navigable filesystem for agent browsing.
- **Collective Learning Infrastructure**: Agents share learned heuristics and optimal workflows across the platform – “one agent’s experience improves every agent.”
- **Security & Compliance**: SOC2 Type II certified, ISO 27001:2022 compliant, with fine-grained data access controls and enterprise-grade safety.

## Strategic Focus
- **Current priorities**: Building the “shared learning infrastructure” for AI agents – enabling agents to evolve from static tools into systems that learn from experience. Key areas include capturing tacit knowledge from millions of interactions, turning edge cases into intuition, and making skills evolve with usage.
- **Direction for growth**: Expanding enterprise adoption, deepening integrations (1000+ toolkits), and scaling the platform to support multi-agent ecosystems with real-time learning.

## Why Work Here
- **Culture highlights**: The team is building infrastructure that “shapes AI’s future” and solving hard, unsolved problems in distributed self-improving systems. Emphasis on elegance, autonomy, and collective intelligence.
- **Remote/hybrid/office policy**: Not explicitly defined, but HQ is in San Francisco with offices in the US, India, Canada, Nepal, and Colombia. Hybrid/remote likely depending on role.
- **Notable perks or engineering culture**: Engineers work on cutting-edge LLM infrastructure, distributed systems, and developer tools. The blog highlights a focus on “hard problems no one’s cracked yet” and a commitment to creating “systems that feel magical.” Open roles include Member of Technical Staff (Research Engineer, Product Eng, Enterprise Platform), Growth Engineer, and Founding BDR – indicating a fast-scaling, high-impact environment.

## Sources
1. [composio.dev](https://composio.dev)
2. [LinkedIn – Composio (Sampark Inc)](https://www.linkedin.com/company/composiohq)
3. [GitHub – ComposioHQ/composio](https://github.com/ComposioDev/composio)
4. [Composio Blog – Series A Announcement](https://composio.dev/blog/series-a)
5. [Composio Jobs (Ashby)](https://jobs.ashbyhq.com/composio)

## Other roles at Composio

- [Member Technical Staff - Applied AI Engineer (US Timing)](https://feeny.ai/job/member-technical-staff-applied-ai-engineer-us-timing-composio-bengaluru-t0fbp881dgaa) — Bengaluru, India
- [Product  Ops Intern](https://feeny.ai/job/product-ops-intern-composio-bengaluru-5b7q0frw5k1c) — Bengaluru, India
- [Fullstack Engineer, Product Team (New Grad)](https://feeny.ai/job/fullstack-engineer-product-team-new-grad-composio-san-francisco-e7h1ec1b7qgz) — San Francisco, CA
- [Forward Deployed Engineer (New Grad)](https://feeny.ai/job/forward-deployed-engineer-new-grad-composio-san-francisco-eyca5hq73w0g) — San Francisco, CA
- [Forward Deployed Engineering Internship (Fall 2026 & Winter 2027)](https://feeny.ai/job/forward-deployed-engineering-internship-fall-2026-winter-2027-composio-san-a2brcfkshkhr) — San Francisco, CA
- [Fullstack Engineering Internship, Product Team (Fall 2026 & Winter 2027)](https://feeny.ai/job/fullstack-engineering-internship-product-team-fall-2026-winter-2027-composio-esgpe0tm3dj9) — San Francisco, CA
- [QA Engineer, Integrations and AI Agents](https://feeny.ai/job/qa-engineer-integrations-and-ai-agents-composio-us-pst-nvfvgjarvzfk) — Us: Pst, OR
- [AI Engineer, Developer Relations](https://feeny.ai/job/ai-engineer-developer-relations-composio-san-francisco-ka80sbyb0wvh) — San Francisco, CA
- [Member of Technical Staff, Enterprise Product](https://feeny.ai/job/member-of-technical-staff-enterprise-product-composio-san-francisco-6j5sqetjx3q5) — San Francisco, CA
- [SDET](https://feeny.ai/job/sdet-composio-bengaluru-9qj3arr6ph2s) — Bengaluru, India