Engineering Manager, Identity & Access Management (IAM)

About the role

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. If you'd like to build the world's best AI cloud, join us.

Responsibilities

• Build, lead, and grow the IAM engineering team.
• Hire exceptional engineers, develop technical leaders, and create a culture of ownership and high engineering standards.
• Work closely with the IAM technical leaders to define and deliver the long-term technical and architectural strategy for Lambda’s IAM platform.
• Build secure, scalable identity capabilities for people, services, and workloads from federation and SSO to service and workload identity.
• Evolve the authorization platform – RBAC, policy evaluation, and resource hierarchy with least privilege and auditability as defaults.
• Make IAM easy to adopt across every Lambda service through consistent APIs, resource and action models, and integration standards.
• Own the reliability, security, performance, and operations of mission-critical IAM services including observability, safe rollouts, incident response, and disaster recovery.
• Translate enterprise requirements into durable platform capabilities, and communicate strategy, delivery, risk, and operational health clearly to senior leadership.
• Balance the complexity and flexibility required for enterprise-grade IAM with simple, intuitive experiences for customers with varying levels of identity and access expertise.

Requirements

• 9+ years of professional software engineering experience, including 3+ years leading and developing engineering teams in a fast-paced environment.
• Have built and operated large-scale distributed systems with high availability, security, and reliability requirements.
• Bring strong technical judgment across cloud infrastructure and IAM — authentication, authorization, workload identity, privileged access, and policy enforcement.
• Engage deeply in architecture, pressure-test designs, and guide tradeoffs across security, correctness, scale, performance, and operability.
• Have a strong track record of building high-performing teams and developing engineers and technical leaders through periods of growth and change.
• Drive cross-functional platform or security initiatives and influence teams and leaders without direct authority.
• Turn ambiguous infrastructure problems into clear strategy, pragmatic execution, and broadly adopted platform capabilities.
• Communicate clearly with technical and non-technical stakeholders and set a high bar for engineering quality, operational discipline, and ownership.

Qualifications

• Hold a BS, MS, or PhD in Computer Science or a related technical field, or have equivalent practical experience.

Skills

• Experience with public-cloud or multi-tenant IAM, authorization/policy engines, or security token services.
• Experience with KMS, HSMs, customer-managed keys, secrets management, or encryption platforms.
• Experience supporting enterprise or regulated customers, or building foundational platforms in a high-growth environment.
• Experience supporting compliance programs such as SOC 2 or translating compliance requirements into platform capabilities.

Benefits

Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

Pay

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

Schedule

Presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

Company Info

Founded in 2012, with 500+ employees, and growing fast. Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove. We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG. Our values are publicly available: https://lambda.ai/careers. We offer generous cash & equity compensation, health, dental, and vision coverage for you and your dependents, wellness and commuter stipends for select roles, a 401k Plan with 2% company match (USA employees), and a flexible paid time off plan that we all actually use. Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Contact

To apply, please visit our careers page: https://lambda.ai/careers.