Lead a small engineering team building security-critical Identity & Access systems (SSO, SAML, OIDC, SCIM) for Tulip's AI-native manufacturing platform. Requires hands-on IAM expertise, multi-tenant experience, and active use of AI tools in the SDLC while driving team growth and rapid, reliable delivery.
Salary not listed
Hybrid5+ YOEEngineering Management
About the role
Key Responsibilities
Own the architecture and roadmap for identity & access — SSO/SAML/OIDC federation, SCIM provisioning, multi-tenant account structures, and the authorization layer across Tulip's multi-cloud infrastructure.
Lead and grow a small, high-caliber team — run regular 1:1s, set quality standards, give direct feedback, and develop engineers on security-critical systems.
Stay technically engaged through design reviews and code, holding the team to clean architecture, automated tests, and clear runbooks.
Represent Identity & Access in cross-functional architecture reviews and roadmap decisions.
Partner with Security, Infrastructure, Product, and Customer Success on enterprise compliance and tenant isolation.
Drive adoption of AI tooling in how the team builds — code review, test generation, spec drafting, and agent loops — and share what works across engineering.
Make and own the hard tradeoffs on IAM and access policy where tenant isolation and enterprise compliance are non-negotiable.
Ship work that reaches customers quickly and reliably, with operational excellence as the default.
Requirements
Hands-on depth with OAuth 2.0, SAML 2.0, OIDC, and SCIM in enterprise environments — you understand the specs and their failure modes, not just the libraries.
Experience building multi-tenant systems where tenant isolation is a hard requirement.
3+ years managing engineering teams in B2B SaaS — you've hired, given constructive feedback, and grown engineers.
Working knowledge of IAM, secrets management, and access policy across AWS and Azure, including the tradeoffs when customers span both.
A track record of shipping clean, tested code and holding a team to the same standard.
Active use of AI tooling in your own practice, with a point of view on how it changes the way teams build.
Nice-to-Haves
Experience with security-critical systems in industrial or high-stakes environments.
Point of view on AI-integrated engineering workflows for verification, spec generation, and agent-driven development.
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