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About the role
Lead an engineering pod by managing team health, performance, and career development while actively contributing to code. Partner with product and technical leads to define priorities, architecture, and ensure reliable delivery of software.
What they look for
Requirements
Requires at least 8 years of software engineering or management experience with a background in leading teams of 9-10 engineers. Candidates must possess strong hands-on skills in TypeScript, backend technologies, and experience with AI product development practices.
Full description
About the Role
Lead an engineering pod at an AI-enabled fintech software company building technology for mortgage lending. You will guide team health and delivery while remaining hands-on, partnering with Product and Technical Leads to ship reliable software in a complex, high-stakes domain.
What You'll Do
- Manage and develop engineers through regular one-on-ones, continuous feedback, performance reviews, hiring, and career development.
- Own planning, retrospectives, delivery health, and early communication of execution risks.
- Write and ship code for approximately 10 to 20 percent of your time, staying connected to the team's engineering work.
- Partner with Product Managers and Technical Leads on priorities, architecture decisions, and cross-functional alignment.
- Support effective onboarding and maintain clear documentation and ownership boundaries.
What We're Looking For
- At least 8 years of software engineering or engineering management experience, with a progressive path from hands-on engineering into senior technical or management roles.
- Experience managing engineers directly, including hiring and performance management, and a background overseeing teams of approximately 9 to 10 engineers.
- Recent experience shipping production software and coding as an engineering manager, including strong hands-on TypeScript skills.
- Significant backend engineering experience and familiarity with technologies such as Node.js, React, GraphQL, PostgreSQL, AWS, and Docker.
- Experience applying AI tools in engineering workflows and familiarity with AI product development practices such as evaluation, experiment design, and dataset curation.
Compensation & Benefits
Annual salary range: $225,000 to $300,000 USD. Visa sponsorship is not available.
Location
Fully remote within the United States.
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