Senior Manager, Engineering - Identity & Access Management

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Manager, Engineering - Identity & Access Management based in United States.

This is a senior engineering leadership role responsible for a foundational Identity & Access Management platform supporting a rapidly scaling SaaS environment.
You’ll lead a backend-heavy, security-sensitive team responsible for authentication, authorization, permissions, roles, provisioning, auditability, and access-control infrastructure.
Your work will directly influence enterprise trust, security, reliability, and the ability to serve increasingly sophisticated customers.
You’ll own delivery, people development, hiring, roadmap priorities, and operational excellence while partnering closely with product, security, and engineering leadership.
The role also calls for an AI-native leadership approach, using intelligent workflows and agents to reduce operational overhead and help a lean team work at exceptional scale.
You’ll operate in a high-impact environment where correctness, scalability, auditability, and security-by-design are critical.
This is a fully remote US opportunity with significant influence over both technical strategy and the future growth of the engineering organization.

Accountabilities

• Lead, hire, mentor, and develop the Identity & Access Management engineering team, owning performance, career development, team structure, and thoughtful scaling as enterprise investment grows.
• Own delivery of the enterprise-grade IAM platform, including authorization engines, permission and role models, enterprise authentication, SSO, MFA/2FA, session and token management, SCIM provisioning, sharing controls, audit logs, OAuth/API token management, and supporting data models and APIs.
• Establish roadmap priorities in partnership with Product, Security, and Engineering leadership, continuously improving identity, access, and administrative capabilities to meet demanding enterprise requirements.
• Run an AI-native engineering organization by structuring work for agent-assisted routing, reporting, triage, and execution, reducing manual processes and eliminating unnecessary status meetings.
• Partner directly with enterprise customers, go-to-market teams, and security stakeholders to understand access-control and identity requirements and contribute to enterprise security and architecture discussions.
• Own operational excellence for high-blast-radius services, including reliability, safe migrations, on-call health, incident readiness, and maintaining the server as the authoritative source of truth.
• Maintain a high engineering standard across architecture, design and code reviews, testing, performance, reliability, and security-by-design.
• Collaborate across backend, frontend, platform, Product, Design, and Information Security teams to deliver consistent and intuitive access experiences.
• Work closely with Staff-level technical leadership to establish sound technical direction while maintaining ownership of people, delivery, priorities, and execution.

Requirements:

• 8+ years of professional software engineering experience building production SaaS products, including at least 3 years managing engineering teams and senior-level engineers.
• Hands-on Identity & Access Management experience, including authentication and authorization systems using OAuth 2.0, OIDC, SAML, JWTs, MFA/2FA, enterprise SSO, SCIM, and RBAC or comparable permission and role models.
• Experience using AI tools and agentic workflows to automate reporting, triage, status tracking, and other operational processes, with demonstrated ability to integrate AI into daily engineering workflows.
• Proven experience delivering enterprise-grade SaaS at scale and working directly with enterprise customers and their security, compliance, and administrative requirements.
• Strong track record of hiring, developing, and retaining high-performing engineering teams.
• Sufficient technical depth to lead architecture discussions, evaluate trade-offs, and make sound decisions for high-blast-radius systems without needing to be the primary implementer.
• Security-first mindset with a strong focus on precise access controls, correctness, auditability, reliability, and minimizing operational blast radius.
• Excellent communication and cross-functional collaboration skills across Engineering, Product, Design, Security, and other stakeholder groups.
• Daily fluency with modern AI tools and a demonstrated willingness to continuously improve AI-enabled engineering practices.
• Preferred experience includes managing IAM or authorization platforms at significant scale, working with multi-tenant or workspace-scoped identity models, and designing configuration-driven or policy-based authorization systems such as RBAC/ABAC.
• Additional preferred experience includes SCIM, audit logging, enterprise compliance frameworks such as SOC 2 or ISO 27001, Zero Trust identity, moving products upmarket, and introducing AI-native operating models to engineering teams.

Benefits:

• Fully remote position within the United States.
• Base salary range of $250,000–$300,000 , with actual compensation determined by factors such as location, experience, education, skills, and interview performance.
• Equity opportunities.
• 401(k) benefits.
• Health, dental, and vision insurance.
• Flexible spending and other spending accounts.
• Life and disability insurance.
• Paid parental leave.
• Flexible paid time off.
• Enhanced employee assistance program.
• Employee wellness stipend.
• Professional development stipend.
• Opportunity to lead highly strategic, security-critical engineering infrastructure supporting enterprise customers.
• AI-native working environment focused on automation, high leverage, and reducing operational overhead.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.