Senior Engineering Manager, Identity & Trust

Responsibilities

• Lead a squad of engineers, fostering collaboration and supporting professional growth.
• Set technical direction and create clear, sequenced execution plans.
• Own architectural decisions across the full stack, including data models, APIs, and front-end systems.
• Partner with product and design to shape the roadmap and maintain a high bar for implementation quality.
• Mentor engineers across diverse backgrounds and experience levels.
• Set performance expectations and provide direct, timely, actionable feedback.
• Promote engineering best practices across the squad and engineering organization.
• Anticipate technical and resourcing challenges.
• Enable collaboration across remote and hybrid teams and cross-functional stakeholders.

Requirements

• 5+ years delivering high-quality software products as a software engineer.
• 5+ years managing software engineers, including ownership of hiring, performance, and technical direction.
• Bachelor's or master's degree in Computer Science, Engineering, or a related technical field.
• Strong technical background building web applications with common frameworks; Ruby on Rails experience is preferred.
• Experience architecting web applications with a strong understanding of SQL and databases.
• Proficiency with Git, CI/CD pipelines, and release management.
• Working knowledge of front-end technologies and frameworks.
• Experience with identity management, authentication methods, and security standards.
• Hands-on participation in design reviews and code development.
• Strong product judgment and experience helping teams determine what to build.
• Clear communication across product, Customer Success, Sales, GTM, and executive stakeholders.
• Track record of managing, mentoring, scaling, and inspiring diverse engineering teams in complex zero-to-one environments.
• Strong verbal communication and technical writing skills.
• Ability to translate business objectives into technical solutions and plans.
• Working knowledge of software development lifecycles, agile principles, and modern engineering practices.

Nice-to-Haves

• Experience delivering ML/AI projects.
• A working AI-built prototype, tool, app, or workflow demonstrating how you build and learn.

Compensation & Benefits

• Base salary: $200,000–$240,000 USD annually.
• Medical, dental, vision, life, and disability insurance.
• 401(k) plan with company match.
• Flexible Time Off, wellbeing days, paid holidays, and summer Fridays.
• Mental health resources.
• Paid parental leave and Backup Care.
• Tuition reimbursement.
• Employee Resource Groups (ERGs).
• Annual bonus or commission eligibility may apply depending on the role.