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Composio

Agentic AI integration infrastructure platform

Member of Technical Staff - Enterprise Product

Software EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • The candidate should be a product-minded engineer who can turn messy workflows into clean products and ship the code.
  • The candidate should have enterprise integration depth involving OAuth, consent, scopes, service accounts, webhooks, rate limits, and unusual API behavior.
  • The candidate should be able to take ownership of a named customer or product surface from the first conversation through live usage.
  • The candidate should have built with language models and for language models, with informed opinions on agents, Model Context Protocol, evaluations, and tool choice.
  • The candidate should apply systems judgment to rollout paths, rollback paths, security exposure, version skew, and maintainability.
  • The candidate should write clear specifications, documentation, and customer updates that earn trust under deadlines.

Responsibilities

  • Turn large enterprise APIs into agent-usable tool surfaces, including tool granularity, composite tools, descriptions, scopes, authentication, and evaluations.
  • Productize repeated field engineering work into self-service patching, quality-assurance harnesses, deployment paths, administrative controls, documentation, and guardrails.
  • Make enterprise deployments repeatable across hosted, virtual private cloud, on-premises, regulated, and bring-your-own-key environments.
  • Build the product layer that enables Composio to scale from bespoke enterprise engagements to a repeatable enterprise motion.
  • Own enterprise product surfaces end to end, including discovery, specification, design, implementation, quality assurance, release, adoption, and iteration.
  • Ship production code across toolkits, software development kits, authentication and scope flows, administrative surfaces, deployment tooling, and customer-facing enterprise features.
  • Work with field engineering, customers, and core engineering to convert field pain into clear product requirements and shipped primitives.
  • Build evaluation and quality-assurance loops that demonstrate enterprise workflows are reliable rather than merely demo-ready.
  • Write specifications, documentation, launch notes, and customer-facing updates that make the work easy to adopt.

Desired Qualifications

  • Production experience with Python; TypeScript experience is a plus.
  • Background in API platforms, integration platform as a service, developer tools, infrastructure, or integration-heavy work.
  • Prior experience as a field development engineer, solutions architect, sales engineer, or enterprise product engineer.
  • Experience with Kubernetes, Helm, Temporal, PostgreSQL, Replicated, cloud secret managers, or packaged self-hosted delivery.
  • Security and compliance exposure, including SOC 2, Vanta-style programs, questionnaires, Common Vulnerabilities and Exposures triage, or root-cause analyses.

About the Company

Composio

Agentic AI integration infrastructure platform

Composio provides an infrastructure platform that lets AI agents connect to external apps and services through a unified API, handling credentials and tool integrations for 250+ pre-built tools (like Salesforce, HubSpot, Gmail, and Slack). It adds a reinforcement learning layer so agents can learn from experience and share knowledge across the ecosystem, enabling better performance over time. The platform is framework-agnostic and works with LangChain, CrewAI, and OpenAI Agents, reducing integration friction and speeding up development from months to days. Its goal is to help enterprises deploy capable, integrated AI agents at scale by enabling collective learning and easier multi-tool coordination.

Company size
51-200
Company stage
Series A
Total funding
$25M
Headquarters
San Francisco, CA
Founded
2023

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