In this role, you will be instrumental in designing and implementing the next generation of identity and access management solutions for large-scale, security-sensitive environments. You will architect and deliver IAM platforms that support enterprise-grade RBAC, MFA enhancements, unified identity across products, and seamless onboarding flows for highly technical users. Working closely with cross-functional teams, you'll ensure intuitive, secure, and scalable access management tailored to demanding AI and cloud workloads. This is a unique opportunity to contribute to critical infrastructure that enables leading-edge machine learning and AI deployments.

Accountabilities

Lead the design and implementation of secure, scalable IAM systems, including authentication, authorization, and lifecycle management
Build and refine access control models, such as RBAC, ABAC, and advanced permission frameworks
Integrate third-party identity platforms (Okta, Auth0, WorkOS) at scale while customizing solutions to fit enterprise needs
Develop and deploy features end-to-end, from system design through monitoring in production
Collaborate with product, security, and engineering teams to ensure IAM capabilities align with business and compliance requirements
Continuously improve user experience for highly technical ML/AI cloud customers while maintaining stringent security standards

Requirements

8+ years of backend or platform engineering experience, including at least 3 years leading IAM initiatives
Deep knowledge of IAM protocols and technologies, including OIDC, OAuth2, SAML, MFA, SCIM, and identity lifecycle management
Strong system architecture skills for distributed, multi-tenant SaaS environments
Experience integrating and scaling identity platforms such as Okta, Auth0, or WorkOS
Programming expertise in Python, Go, or equivalent, with hands-on use of infrastructure-as-code (Terraform, Crossplane, etc.)
Proven track record of delivering IAM solutions in high-uptime, security-sensitive environments
Bonus: experience with IAM in ML/AI or cloud infrastructure, multi-cloud identity solutions, open-source IAM contributions, or mentorship/leadership experience

Benefits

Competitive annual salary: $255K - $395K (San Francisco) or $230K - $356K (Seattle)
Equity compensation in a rapidly growing, high-demand company
Health, dental, and vision coverage for employees and dependents
Flexible Paid Time Off that employees are encouraged to use
401(k) plan with 2% company match (for U.S. employees)
Wellness and commuter stipends for select roles
Hybrid schedule: 4 days in-office per week, with Tuesday as the current remote workday

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job's core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.

Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!