Senior Manager, Software Engineering

You will

- Lead AI-native development: Bring strong, hands-on AI experience to guide teams building AI-native software products architected around AI from the ground up spanning agentic workflows, LLM-powered services, and AI-assisted engineering practices, not just AI-adjacent features.

- Own four AI pods end to end: Directly manage four AI-focused pods, each accountable for delivering specific features and outcomes. You own execution, delivery, quality, and velocity across all four.

- Manage cross-pod dependencies and risk: Identify where pods' roadmaps intersect, sequence work to avoid bottlenecks, and proactively surface and mitigate risks before they threaten delivery.

- Shape architecture: Participate in and help drive architecture reviews across our React.js/TypeScript, Node.js, AWS, PostgreSQL, and Redshift stack, ensuring decisions hold up for scalability, reliability, security, and maintainability, including in a HIPAA/SOC 2-aware environment.

- Stay outcome-focused: Keep teams anchored to member and business impact rather than pure output, helping them prioritize the work that moves the needle.

- Champion AI adoption: Drive the practical use of AI across engineering from AI-assisted development tooling to AI-powered product features, keeping the org current with emerging tools and practices.

- Drive engineering excellence: Raise the bar on code quality, testing, observability, incident response, and CI/CD practices across the pods.

- Mentor and develop talent: Coach engineers and tech leads at all levels, building the next generation of technical leadership inside the org.

- Communicate and collaborate: Act as a clear, consistent communicator and trusted partner across engineering, product, design, and leadership, translating technical realities for non-technical stakeholders and vice versa.

You are

- A people-first, hands-on leader who invests in coaching engineers at every level and has led organizations of a similar size (10+ engineers).

- A systems thinker who brings clarity to ambiguity, balances speed against risk, and earns trust across both technical and non-technical stakeholders.

- Calm under pressure, with crisp written, verbal, and executive communication, and comfortable making and documenting decisions.

- Genuinely curious about AI, with real interest in its application to both engineering workflows and product development , not just familiarity with the term.

- Highly adaptable, quick to pivot as priorities shift, consistently responsive, and detail-oriented without losing sight of the bigger picture.

- An outcome-driven operator who ties engineering decisions back to measurable business and member impact.

You have

- 10+ years of software engineering experience, including 5+ years managing engineering teams, with a track record leading 10+ engineers (startup or high-growth environment preferred).

- Strong, hands-on AI-native development experience building products with agentic systems, LLM integrations, or AI-first architectures and a track record applying AI to both engineering workflows and product features.

- A proven track record managing multiple engineering teams simultaneously, with clear accountability for delivery, quality, and velocity.

- Experience managing cross-team dependencies and risk in a fast-moving, multi-pod environment.

- Experience running engineering delivery with Agile/Lean practices (Scrum/Kanban) using tools like Jira and Confluence.

- A track record of setting technical direction and making sound architecture decisions for scalable, full-stack web applications.

- Deep working knowledge of our core stack: React.js, TypeScript, Node.js, JavaScript, AWS (Lambda, EC2, RDS, SQS,

- DynamoDB), PostgreSQL, and Redshift, along with Docker/Kubernetes for containerized, orchestrated deployments, and familiarity with GraphQL and RESTful API design.

- A strong outcome/value-oriented mindset, with a track record of tying engineering work to business impact.

- Excellent mentorship and coaching skills, with genuine investment in developing people.

- Strong communication and collaboration skills across technical and non-technical stakeholders.

- Experience in regulated environments (healthcare/digital health preferred), with HIPAA/SOC 2 awareness and audit-friendly change management, is a plus.

Tools we use:

Jira, Confluence, Cursor, Figma, Google Workspace, Loom, AWS, PostgreSQL, Redshift, modern CI/CD and observability tooling.

Role: Senior Manager, Software Engineering 
Location: Remote
Base Salary Range: $200,000 - $235,000 per year
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries at our headquarters in San Francisco, California. Individual pay is determined by work location, job-related skills, experience, and relevant education or training.