---
title: 'Member of Technical Staff, Enterprise Product at Composio'
canonical: 'https://feeny.ai/job/member-of-technical-staff-enterprise-product-composio-san-francisco-6j5sqetjx3q5'
type: 'job'
last_seen: '2026-09-10'
---

# Member of Technical Staff, Enterprise Product at Composio

- **Company:** Composio
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-02
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/composio/58cd02c6-31d4-4f61-9cdf-66f49b3dff0e

## 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 raised a [$25M Series A from Lightspeed](https://lsvp.com/stories/investing-in-composio-building-the-backbone-of-ai-agent-intelligence/) with angels like Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of Hubspot), and Gokul Rajaram. We've 3x'd our ARR this year, and our customers range from your friends in the YC batch to Wabi, Glean, Zoom and many more. Enterprise Product sits where the hardest customer workflows become durable product. You will work directly with enterprise customers and FDE, turn ambiguous asks into product primitives, and ship the code that makes the next customer easier than the last.

## WHAT YOU'LL WORK ON

1. Turn large enterprise APIs into agent-usable tool surfaces: tool granularity, composite tools, descriptions, scopes, auth, and evals.
2. Productize repeated FDE work into self-service patching, QA harnesses, deployment paths, admin controls, docs, and guardrails.
3. Make enterprise deployments repeatable across hosted, VPC, on-prem, regulated, and BYOK environments.
4. Build the product layer that lets Composio scale from bespoke enterprise engagements to repeatable enterprise motion.

## WHAT YOU'LL DO

- Own enterprise product surfaces end to end: discovery, spec, design, implementation, QA, release, adoption, and iteration.
- Ship production code across toolkits, SDKs, auth and scope flows, admin surfaces, deployment tooling, and customer-facing enterprise features.
- Work with FDE, customers, and core engineering to convert field pain into crisp product requirements and shipped primitives.
- Build evals and QA loops that prove enterprise workflows are reliable, not just demo-ready.
- Write the specs, docs, launch notes, and customer-facing updates that make the work easy to adopt.

## "MUST HAVES"

if you are very good, nothing is a must per se

- Product-minded engineer: you turn messy workflows into clean product, then ship the code.
- Enterprise integration depth: OAuth, consent, scopes, service accounts, webhooks, rate limits, and strange API behavior do not scare you.
- Customer ownership: you can take a named customer or product surface from first conversation to live usage.
- AI native: you have built with language models, built for language models, and have opinions on agents, MCP, evals, and tool choice.
- Systems judgment: you think in rollout paths, rollback paths, security exposure, version skew, and maintainability.
- Clear writer: your specs, docs, and customer updates earn trust under deadline.

## OPTIONAL

- Python in production; TypeScript a plus.
- API platform, iPaaS, developer tools, infra, or integration-heavy background.
- Prior FDE, solutions architect, sales engineer, or enterprise product engineering role.
- Kubernetes, Helm, Temporal, Postgres, Replicated, cloud secret managers, or packaged self-hosted delivery.
- Security and compliance exposure: SOC 2, Vanta-style programs, questionnaires, CVE triage, or RCAs.

## 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
- [SDET](https://feeny.ai/job/sdet-composio-bengaluru-9qj3arr6ph2s) — Bengaluru, India
- [Deployed Systems Engineer](https://feeny.ai/job/deployed-systems-engineer-composio-san-francisco-zqrf9y4m64zw) — San Francisco, CA