Staff Software Engineer, AI Tools
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, weâre 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 otherâs unique experiences and embrace the flexibility to do your best work. Creating a career you love? Itâs Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and weâre looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, weâll 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 thirdâparty AI tools â such as Claude, Glean, Granola, etc. â 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 longâterm architecture for secure AI connectivity, drive major crossâfunctional initiatives, and mentor others in building robust, automationâdriven solutions at the frontier of enterprise AI adoption.
What youâll do
- Own thirdâparty AI tools connectivity endâtoâend â 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 â 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 â 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 Pinterestâs skill registry.
- Lead incident response and complex, crossâsystem troubleshooting for highâimpact integration issues, driving rootâcause analysis, longâterm fixes, and learningâoriented 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 â for example, using AI assistants to draft code, configuration templates, tests, documentation, or runbooks â while validating outputs through tests, dryâruns, and peer review, and maintaining full ownership of the final results.
- Lead crossâfunctional projects such as new AI tools onboarding, secure transport/tunnel deployments, connector migrations, and integrationâstandard 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 tradeâoffs, and ensuring decisions reflect âAct as oneâ and âCreate belongingâ for our global workforce.
What weâre looking for
- 7+ years of professional software engineering experience, including significant handsâon ownership of building and operating production services or platform integrations in a mediumâtoâlarge environment.
- Bachelorâs 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 â designing APIs and backend services, choosing appropriate abstractions, and building for maintainability, testability, and extension.
- Deep, handsâon expertise in authentication and authorization â OAuth 2.0/2.1, OIDC, SAML, token exchange, PKCE â 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 â REST/RPC, webhooks, and SDKs â 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 AIâconnector/gateway ecosystem, and with security, privacy, and compliance controls relevant to external integrations (SSO/SCIM, DLP, access reviews). Kubernetes/EKS and infrastructureâasâcode (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 staffâlevel scope: leading large, complex initiatives, shaping crossâteam 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 Pinterestâs values: putting Pinners and Pinployees first, aiming for high quality, acting as one team, and approaching challenges with a âwin or learnâ 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.
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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
Our Commitment to Inclusion: