Compensation The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $293K – $342K, with generous equity, performance-related bonuses, and the following benefits: Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit) 401(k) retirement plan with employer match Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks) Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time Mental health and wellness support Employer-paid basic life and disability coverage Annual learning and development stipend to fuel your professional growth Daily meals in our offices, and meal delivery credits as eligible Relocation support for eligible employees Additional taxable fringe benefits, such as charitable donation matching and wellness stipends About the Team OpenAI's Application Engineering team builds the internal products and platforms that help OpenAI operate securely and at scale. We engineer, own, and evolve OpenAI's core productivity ecosystem, creating secure applications, integrations, automation, and reusable tooling. 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. 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. Responsibilities 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 across IT, Security, Privacy, Legal, product teams, and platform providers to shape technical direction, influence roadmaps, and translate agent use cases into scalable systems Requirements 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 Nice to 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