OpenAI

Software Engineer, Agent Productivity

OpenAI$150K — $180K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of hands-on software engineering experience in production systems.
  • Strong knowledge of backend and distributed systems, particularly API design and reliability.
  • Proven experience in building developer platforms and reusable tooling.
  • Background in integrating enterprise platforms like Slack under real-world constraints.
  • Expertise in designing secure, permission-aware systems that handle sensitive data securely.
  • Ability to navigate and lead cross-team technical initiatives with a focus on security and developer experience.

Responsibilities

  • Own the technical strategy for developing and deploying agents effectively on Slack.
  • Design secure and reliable services for agent access to various tools and systems.
  • Establish scalable patterns for connectivity and context retrieval across diverse systems.
  • Develop SDKs and tools to enhance integration and developer productivity.
  • Implement policy-aware automation for managing agents and integrations securely.
  • Enforce governance standards to protect user data and ensure compliance.
  • Collaborate with IT and other teams to influence technical directions and systems architecture.

Benefits

  • Flexible work environment.
  • Opportunity to work on impactful projects that enhance agent productivity.
  • Access to advanced tools and technologies.
  • Work with a collaborative team across multiple departments.
Full Job Description
About the Role

As a Staff Software Engineer on Agent Productivity, you will shape the foundation that enables teams to build agents with secure access to the context and capabilities they need. Slack will be the first and deepest implementation surface-and where you spend most of your time-owning its application architecture, integrations, APIs, governance, and administration automation while building patterns that extend to internal systems, identity platforms, and other enterprise applications.

This is a hands-on engineering role with broad organizational impact as agents support more employee workflows. You will define platform architecture, build reusable foundations, and establish secure patterns for identity, permissions, connectivity, and operations that make agents easier to develop, deploy, and manage.

In this role, you will:
  • Own the technical strategy and architecture that enable teams to build, connect, and deploy agents quickly and safely, using Slack as the primary implementation surface.
  • Design and build secure, reliable services that give agents permission-aware access to context, tools, and actions across Slack, internal systems, identity platforms, and enterprise applications.
  • Establish scalable patterns for connectivity, context retrieval, authorization, and action execution across systems with different capabilities and constraints.
  • Develop reusable SDKs, connectors, templates, testing tools, and deployment patterns that reduce integration effort and improve developer productivity.
  • Build policy-aware automation and lifecycle management for agents, applications, and integrations, including ownership, permissions, approvals, credential rotation, and decommissioning.
  • Implement governance and observability that enforce least privilege, protect user and workspace boundaries, and provide visibility into agent behavior, data access, and information sharing.
  • Set operational standards for reliability, auditability, testing, incident response, and secure self-service.
  • Partner accross IT, Security, Privacy, Legal, product teams, and platform providers to shape technical direction, influence roadmaps, and translate agent use cases into scalable systems.

You might thrive in this role if you:
  • Deep hands-on software engineering experience and a track record of building and operating production systems at scale.
  • Strong backend and distributed-systems fundamentals, including API design, integrations, and production reliability.
  • Experience building developer platforms, reusable tooling, or shared services that make applications and agents easier to develop and deploy.
  • Experience integrating enterprise platforms such as Slack and working through real-world API, identity, and operational constraints.
  • Experience designing secure, permission-aware systems that access sensitive data or take actions on behalf of users.
  • The ability to lead ambiguous technical initiatives across teams while balancing developer experience, security, and long-term architecture.

Bonus points if you have:
  • Deep experience with Slack Enterprise Grid and its application, admin, audit, or discovery APIs.
  • Experience building agent platforms or AI-assisted workflows that preserve user identity, permissions, attribution, and data boundaries.
  • Experience building integrations or governance systems for Slack, Google Workspace, GitHub, Microsoft 365, Salesforce, or similar enterprise platforms.
  • Familiarity with agent interoperability protocols such as MCP, or with data classification, DLP, retention, and compliance systems.

About OpenAI

OpenAI is an artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. The company was founded in 2015 by a group of technology leaders, including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, and John Schulman. OpenAI's mission is to develop and promote friendly AI for the betterment of humanity. The company has developed a number of cutting-edge AI technologies, including GPT-3, a language processing system that can generate human-like text. OpenAI has received funding from a number of high-profile investors, including LinkedIn co-founder Reid Hoffman and venture capitalist Peter Thiel.
Learn more about OpenAI
Size
100 employees
Industry
Founded
2015

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