Staff Software Engineer, AI Tools

Pinterest

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
San Francisco, CA
Salary
$177,185–$364,795 / yr
Posted
7 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $214k
This role $271k
$154k most similar roles pay here $387k

This role pays more than 93% of similar roles. Most pay $187,375–$240,625 — the shaded band above. At the midpoint, this role pays about $271k versus about $214k for comparable roles.

Based on 240 similar postings.

Employer

About Pinterest

Pinterest is a visual discovery and inspiration platform where people find ideas for home, style, recipes, and more. It serves hundreds of millions of users worldwide through its image and video pinboard product.

Pinterest currently has 82 open roles on FindRole.

Listed pay typically runs $164,695–$337,990 across 82 roles with salary data.

Most-posted roles

View all roles at Pinterest

At a glance

TL;DR · Staff Software Engineer, AI Tools

As a Staff Software Engineer, AI Tools on the IT Collaboration and Productivity Engineering team, you will serve as the technical lead for connecting third-party AI tools to internal systems. You will be responsible for the end-to-end connectivity of external tools like Claude and Glean, while building custom MCP servers to expose internal platforms such as Slack, Google Workspace, and Atlassian. Your work involves designing secure integration architectures using OAuth 2.0/2.1, OIDC, SAML, and mTLS, alongside managing edge routing via Envoy. You will develop automation scripts in Python, Go, or TypeScript to streamline connector lifecycles and manage infrastructure-as-code. This role solves the complex challenge of establishing secure, scalable, and consistent AI connectivity for a large workforce while mentoring other engineers and ensuring robust security protocols across all integrated enterprise AI tools.

What does a Software Engineer earn in California?

Median $214000 from 775 postings across 63 companies.

See salary data

What you'll do

  • Manage end-to-end connectivity for third-party AI tools including authentication, traffic flow, and security boundaries.
  • Design and evolve the architecture for AI integrations to ensure consistent, secure, and scalable onboarding of new vendors.
  • Develop and operate custom MCP servers to expose internal tools like Slack and Google Workspace to AI systems.
  • Lead incident response and complex troubleshooting for high-impact integration issues in partnership with Security and Networking teams.
  • Build automation scripts and integrations using Python, Go, or TypeScript to streamline connector lifecycles and monitoring.
  • Integrate AI tools with corporate identity, security, and IT workflows such as SSO, SCIM, and DLP.
  • Mentor other engineers by reviewing designs, providing technical guidance, and sharing best practices for robust solutions.
  • Lead cross-functional projects from design through production to ensure seamless integration of new AI capabilities.

What we're looking for

  • Must have 7+ years of professional software engineering experience building and operating production services or platform integrations.
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
  • Proficiency in backend languages such as Python, Go, Java, or TypeScript/Node to design APIs and backend services.
  • Deep expertise in authentication and authorization protocols including OAuth 2.0/2.1, OIDC, SAML, token exchange, and PKCE.
  • Experience building connectors for SaaS platforms like Slack, Google Workspace, and Atlassian using REST/RPC, webhooks, and SDKs.
  • Strong systems design and troubleshooting skills across clients, networks, identity providers, and edge/ingress layers like Envoy.
  • Familiarity with Model Context Protocol (MCP), Kubernetes/EKS, Terraform, and security controls such as SSO, SCIM, and DLP.
  • Proven ability to lead large initiatives, mentor other engineers, and manage cross-functional projects at a staff level.

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