Staff Software Engineer, AI Tools

Pinterest


Job Location:

San Francisco, CA - USA

Monthly Salary: Not Disclosed
Posted on: 2 hours ago
Vacancies: 1 Vacancy

Job Summary

About Pinterest:

Millions of people around the world come to our platform to find creative ideas dream about new possibilities and plan for memories that will last a lifetime. At Pinterest were on a mission to bring everyone the inspiration to create a life they love and that starts with the people behind the product.

Discover a career where you ignite innovation for millions transform passion into growth opportunities celebrate each others unique experiences and embrace theflexibility to do your best work. Creating a career you love Its Possible.

At Pinterest AI isnt just a feature its a powerful partner that augments our creativity and amplifies our impact and were looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities well explore your foundational skills and how you collaborate with AI.

Through our interview process what matters most is that you can always explain your approach showing us not just what you know but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.


The IT Collaboration and Productivity Engineering team builds and runs the collaboration and productivity platforms that power how Pinployees communicate share information and get work done. We own core SaaS platforms such as Google Workspace O365 Gemini Jira Confluence Slack and other collaboration productivity and AI tools and partner closely with Security People Legal and Engineering to design secure reliable and intuitive experiences.

As a Staff Software Engineer AI tools you will be the technical lead for how thirdparty AI tools such as Claude Glean Granola etc. connect to Pinterest and a key owner of the custom MCP servers and integrations that expose our internal tools (Slack Google Workspace Atlassian and others) to those tools. You will shape the longterm architecture for secure AI connectivity drive major crossfunctional initiatives and mentor others in building robust automationdriven solutions at the frontier of enterprise AI adoption.

What youll do

  • Own thirdparty AI tools connectivity endtoend act as the primary technical authority for how external AI tools authenticate to Pinterest where their traffic flows what internal data they reach and how we keep that boundary secure spanning OAuth 2.0/2.1 and OIDC MCP connectors and registries SAML federation mTLS IP allowlisting and edge/ingress routing (Envoy).
  • Design and evolve the AI integration architecture define standards guardrails and reusable patterns so onboarding each new AI vendor is fast consistent and secure by default rather than a bespoke effort.
  • Build and own custom MCP servers develop and operate the connectors that expose internal tools (Slack Google Workspace Atlassian and more) including building new features as internal tools and AI use cases evolve and integrating AI tools into Pinterests skill registry.
  • Lead incident response and complex crosssystem troubleshooting for highimpact integration issues driving rootcause analysis longterm fixes and learningoriented postmortems in partnership with Security Networking and vendors.
  • Build automation and integrations using scripting (e.g. Python Go TypeScript or similar) and platform/tool APIs and SDKs to streamline connector lifecycle configuration as code and health/usage monitoring.
  • Integrate AI tools with identity security and IT workflows (e.g. SSO/IdP SCIM DLP logging ITSM) in close collaboration with Security and other infrastructure teams.
  • Use AI as a force multiplier for your work for example using AI assistants to draft code configuration templates tests documentation or runbooks while validating outputs through tests dryruns and peer review and maintaining full ownership of the final results.
  • Lead crossfunctional projects such as new AI tools onboarding secure transport/tunnel deployments connector migrations and integrationstandard rollouts from design through production.
  • Mentor and uplevel other engineers by reviewing designs and implementations sharing best practices and providing clear guidance aligned to Role Expectations Guides (REGs) leveling criteria and Pinterest competencies.
  • Represent the team with stakeholders across the company and with external vendor engineering teams translating business needs into durable technical solutions communicating tradeoffs and ensuring decisions reflect Act as one and Create belonging for our global workforce.

What were looking for

  • 7 years of professional software engineering experience including significant handson ownership of building and operating production services or platform integrations in a mediumtolarge environment.
  • Bachelors degree in Computer Science Engineering Information Systems or a related field or equivalent practical experience.
  • Strong programming skills in one or more backend languages (e.g. Python Go Java TypeScript/Node) and solid software design and architecture ability designing APIs and backend services choosing appropriate abstractions and building for maintainability testability and extension.
  • Deep handson expertise in authentication and authorization OAuth 2.0/2.1 OIDC SAML token exchange PKCE and the failure modes that come with them.
  • Strong systems design and troubleshooting skills including debugging issues that span clients network identity edge/ingress (Envoy or similar) and backend services.
  • Experience building and integrating with APIs and services REST/RPC webhooks and SDKs including connectors against SaaS/tool APIs (Slack Google Workspace Atlassian or comparable).
  • Grounding in engineering quality practices: automated testing code review CI/CD observability and safe production rollout.
  • Familiarity with the Model Context Protocol (MCP) and the emerging AIconnector/gateway ecosystem and with security privacy and compliance controls relevant to external integrations (SSO/SCIM DLP access reviews). Kubernetes/EKS and infrastructureascode (Terraform) a plus.
  • Proven use of AI tools to speed up engineering work (e.g. generating code tests runbooks or summaries) with a clear approach to validating outputs reducing bias and protecting reliability and security.
  • Track record of operating at a stafflevel scope: leading large complex initiatives shaping crossteam roadmaps and owning impactful outcomes.
  • Ability to lead and mentor other engineers give clear technical direction and partner effectively with managers product owners and stakeholders.
  • Comfort working across diverse teams and locations consistently modeling Pinterests values: putting Pinners and Pinployees first aiming for high quality acting as one team and approaching challenges with a win or learn mindset.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement

  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  • This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.

#LI-REMOTE

#LI-JD3


Required Experience:

Staff IC

About Pinterest:Millions of people around the world come to our platform to find creative ideas dream about new possibilities and plan for memories that will last a lifetime. At Pinterest were on a mission to bring everyone the inspiration to create a life they love and that starts with the people b...

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