---
title: 'Engineering Support Lead at Composio'
canonical: 'https://feeny.ai/job/engineering-support-lead-composio-san-francisco-s4y355e3z80v'
type: 'job'
last_seen: '2026-10-15'
---

# Engineering Support Lead at Composio

- **Company:** Composio
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-30
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.ashbyhq.com/composio/0eae89c6-9f79-42e1-8246-81f336048fa6

## Job description

Engineering Support Lead Location: San Francisco · Full time

## About Composio

Composio builds the AI-native automation layer for software teams: SDKs, runtimes, and platform tooling that let developers compose, evaluate, and operate agentic workflows and AI-powered products. Our systems must be reliable at scale - agents must act correctly, integrations must be robust, and integration needs to be an autonomous, observable function that accelerates engineering rather than slowing it.

## About The Role

We are hiring an Engineering Support Lead who is already doing technical support work and is ready to build the function for the AI era. You know the reality of a live queue, difficult escalations, customer communication, and coaching support engineers. Now you want to build the team, standards, and systems that make great support repeatable as Composio grows. This is a hands-on leadership role. You will stay close to customers and cases while hiring and developing the team, running support across locations, and using AI to help people resolve more problems well. The Frontier You'll Work On

- AI can gather context, suggest a diagnosis, and draft a reply. A strong support leader knows how to bring those capabilities into a real queue, check their quality, and keep a person accountable for the customer's outcome. You will shape that system.
- Every difficult case is product signal. You will turn recurring failures across auth, SDKs, integrations, and agent workflows into fixes, clearer docs, better tools, and fewer future tickets.
- Support must scale across time zones without losing ownership. You will build the coverage, handoffs, coaching, and escalation paths that make the experience consistent for customers and sustainable for the team.

What Will You Do?

- Own the support queue end to end: triage, technical investigation, customer updates, escalation, and confirmation of resolution.
- Lead complex enterprise cases. Reproduce failures across APIs, OAuth, SDKs, third-party integrations, and agent workflows; give Engineering a clear diagnosis and stay accountable while a fix ships.
- Build the operating model across San Francisco and Bangalore, including queue ownership, shift handoffs, incident communication, and coverage that matches our commitments.
- Set useful response and follow-up targets by customer tier and severity. Review case quality, unresolved work, customer outcomes, and the reasons customers contact us again.
- Hire, onboard, and coach technical support engineers. Run case reviews, give direct feedback, and create paths for people to grow in support and engineering-adjacent work.
- Bring AI into the daily support workflow. Use Composio and work with our applied AI engineers to improve intake, context gathering, investigation, drafting, and follow-up; measure quality and keep clear human ownership when a workflow fails.
- Build a demand and capacity view that informs staffing and coverage decisions before the queue falls behind.
- Work with FDE, Product, and Engineering to turn patterns in customer cases into product fixes, self-serve guidance, and better developer experience.

What Are We Looking For? We are looking for someone whose career is already rooted in technical support and who can show evidence of the following:

- Operate support today. You currently lead or play a senior role in a technical support function. You have owned live cases, escalations, queue health, and the quality of customer communication.
- Build a support organization. You have hired or coached support engineers, improved how a team works, set clear ownership and service standards, and can show how customer outcomes changed.
- Go deep technically. You can inspect requests and logs, reproduce an ambiguous failure, reason about APIs and authentication, and work effectively with engineers on a durable fix.
- Earn customer trust. You write clearly under uncertainty, give useful next steps, and stay with a customer through resolution rather than treating an internal handoff as closure.
- Lead people and operations. You can design coverage across locations, run an escalation calmly, and make staffing decisions using evidence rather than ticket counts alone.
- Be ready for AI-led support. You use AI tools in your own work and can identify where they will make support better, how to check their output, and when a person must take over. You are eager to build this into the team's daily practice.

## Nice to Have

- Experience with a developer platform, API product, cloud infrastructure, or an integration-heavy product.
- Experience building support automation, agent workflows, evaluations, or human review systems.
- Experience reading or shipping Python or TypeScript fixes while working in support.
- Familiarity with OAuth, webhooks, rate limits, MCP, and support tools such as Plain, Zendesk, or Intercom.
- Experience building a team that spans the US and India.

Prior experience supporting an AI product is useful. What matters most is proven ownership in support and the drive to build a better support organization with AI.

## 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

- [APM - toolkits](https://feeny.ai/job/apm-toolkits-composio-bengaluru-rw683swb81nr) — Bengaluru, India
- [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
- [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
- [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
- [Deployed Systems Engineer](https://feeny.ai/job/deployed-systems-engineer-composio-san-francisco-zqrf9y4m64zw) — San Francisco, CA
- [Forward Deployed Research Engineer](https://feeny.ai/job/forward-deployed-research-engineer-composio-san-francisco-f3bt36kq6n3q) — San Francisco, CA