3 days ago

Software Engineer, Agent Productivity

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Build the secure foundation for agent productivity, using Slack as the primary surface. You’ll own application architecture, integrations, APIs, governance, and administration automation—creating reusable SDKs, connectors, and deployment patterns. Design permission-aware services for context, tools, and actions across Slack, identity platforms, and enterprise apps, while implementing least-privilege governance, observability, reliability standards, and secure lifecycle automation.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Own the technical strategy and architecture that enable teams to build, connect, and deploy agents quickly and safely using Slack as the primary surface.
•Design and build secure, reliable services for 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 constraints.
•Develop reusable SDKs, connectors, templates, testing tools, and deployment patterns to reduce integration effort and improve developer productivity.
•Build policy-aware automation and lifecycle management for agents, applications, and integrations, including governance, observability, least privilege, auditability, and incident response.

Pay and Benefits

Salary: USD 293,000 - 342,000 annually

Equity and Bonus:Equity

Key Requirements

•Deep hands-on software engineering experience 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 help teams develop and deploy faster.
•Experience integrating enterprise platforms such as Slack, working through real-world API, identity, and operational constraints.
•Experience designing secure, permission-aware systems for access to sensitive data or actions on behalf of users.

Experience:Distributed systemsDeveloper platformsEnterprise integrationsAI-assisted workflows

Skills:Technical strategyArchitectureLeadershipCollaborationIncident response

Tech Stack:SlackSlack Enterprise GridSlack APIsAPIsIdentity platformsSDKsConnectorsGoogle WorkspaceGitHubMicrosoft 365SalesforceMCPDLPCredential rotationGovernanceObservability

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor

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OpenAI

3 days ago

Software Engineer, Agent Productivity

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Own the technical strategy and architecture that enable teams to build, connect, and deploy agents quickly and safely using Slack as the primary surface.
•Design and build secure, reliable services for 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 constraints.
•Develop reusable SDKs, connectors, templates, testing tools, and deployment patterns to reduce integration effort and improve developer productivity.
•Build policy-aware automation and lifecycle management for agents, applications, and integrations, including governance, observability, least privilege, auditability, and incident response.

Pay and Benefits

Salary: USD 293,000 - 342,000 annually

Equity and Bonus:Equity

Key Requirements

•Deep hands-on software engineering experience 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 help teams develop and deploy faster.
•Experience integrating enterprise platforms such as Slack, working through real-world API, identity, and operational constraints.
•Experience designing secure, permission-aware systems for access to sensitive data or actions on behalf of users.

Experience:Distributed systemsDeveloper platformsEnterprise integrationsAI-assisted workflows

Skills:Technical strategyArchitectureLeadershipCollaborationIncident response

Tech Stack:SlackSlack Enterprise GridSlack APIsAPIsIdentity platformsSDKsConnectorsGoogle WorkspaceGitHubMicrosoft 365SalesforceMCPDLPCredential rotationGovernanceObservability

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor