---
title: 'APM - toolkits at Composio'
canonical: 'https://feeny.ai/job/apm-toolkits-composio-bengaluru-rw683swb81nr'
type: 'job'
last_seen: '2026-10-15'
---

# APM - toolkits at Composio

- **Company:** Composio
- **Location:** Bengaluru, India
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-09
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.ashbyhq.com/composio/64bda86f-f25f-42f3-9d1a-b6ad3d736ca2

## Job description

Who are we? 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. You'll join a small, high-leverage team building the delivery systems and metrics that give product and support teams visibility and predictable delivery. This role is based in Bangalore (HSR).

Who is our ideal candidate? A high-agency operator who is also AI-native, and who wants to grow into product. The role starts ops-heavy: you run the operations that get apps live on Composio, keep the toolkits healthy, and automate as much of that work as you can. Over 6-8 months, once those workflows and automations are running, the role shifts towards owning ambiguous product problems across the platform - triggers, tools, skills, auth, governance, and toolkit-level issues like rate limits and MCP hosting. This is not a traditional PM role with an engineering team to direct. It's closer to founder-mode ownership of a product line, where you solve problems using agents and a small ops team. You've shipped things on your own - a side project, a tool, a micro-business, or a system you built that is still running - and you've run real operations with quality bars, not just executed inside someone else's process. You're at the edge of AI out of genuine curiosity: you use AI tools daily and can point to specific things you built or automated with them in the last month. You pick work by impact, not by how interesting it is, and you have no ego about manual work that isn't automated yet. You can hold a technical conversation with engineers without a translator, and you're comfortable owning problems that don't have a clear owner yet.

What will they own?

- The toolkit number: how many apps are live on Composio, and the health of the ones already live.
- New apps, end to end: run the operations of getting them live - research, setup, QA, launch.
- Existing toolkits: make them better with the product team, and clear the issues that stop them from working well.
- QA and support for every toolkit you bring live. Once it's live, its quality is your problem.
- The ops playbook: build it, run it, scale it. SOPs, small tools, AI agents before humans - you automate yourself first, and when scaling takes people, hiring them is part of the job.
- The metrics for this function: define them, build them, watch them.
- Product problems, as the ops layer starts running on its own: ambiguous, non-engineering problems across triggers, tools, auth, governance and toolkit-level issues - scoped, owned and shipped by you.

What are we looking for?

- Experience: 2-4 years. We care more about how fast you've grown than how senior you are.
- Technical floor: can explain what an API and an integration are, reads API docs cold, writes enough code to build small tools and automations. Not an engineer; infra-level work is not the job.
- AI-native automation instinct: your default answer to repeated work is "how do I never do this manually again" - backed by recent, specific evidence of things you've built or automated with AI.
- Dirty-work appetite: you happily run the manual version today while the automation is being built. This and the automation instinct are both required; we never average them.
- Process maturity: you've designed or owned a pipeline with throughput, SLAs, or quality bars, and you left systems running behind you - not just stories.
- Product instinct: you can take a vague problem, figure out what's actually broken, and decide what to build or fix - without waiting for a spec or a dedicated engineering team.
- Organized ownership: routines, follow-ups, nothing dropped. You communicate clearly, in writing and in person.
- High agency in uncertainty: given a goal with no playbook and no owner above you, you define the problem yourself and start before permission.
- Operating maturity: this role carries a number from week one, so it needs someone who has owned outcomes before. It is not internship-shaped.

We'll pass at any stage on candidates who only want the cool parts of the job, choose work by interestingness over impact, can't explain what an API is, or do the same manual work in month three as month one.

Nice-to-have

- Founder or early-stage experience: you've taken something from zero, or joined early and owned a function.
- Experience with SaaS integrations, API products, or developer-facing products.
- Built things with agents or LLM workflows beyond personal use - tools, experiment logs, side projects other people use.
- An engineering-adjacent path: studied engineering and moved into non-technical work, or a non-CS background with things you built on the side.
- High-throughput ops backgrounds (delivery, marketplace, physical ops) count only alongside the AI-native bar above - on their own they are not this job.

Outcomes we expect in the first 90 days

- More toolkits live on Composio - you own the supply number, and it moved.
- Existing toolkits repaired or unblocked without anything breaking technically.
- A v1 ops playbook running: SOPs, automations, and AI agents handling the repeatable parts of onboarding and QA.
- Metrics for the function defined and visible: supply, health of supply, pipeline status.
- What this is not: usage. Usage is a product metric; this role is measured on supply and the health of supply.

## 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

- [Engineering Support Lead](https://feeny.ai/job/engineering-support-lead-composio-san-francisco-s4y355e3z80v) — San Francisco, CA
- [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