Engineering Manager
Lead and grow engineering teams building provider-facing tools at a Series D mental health platform. Drive product outcomes, mentor engineers, and shape AI-powered clinical documentation and group practice workflows.
About the job
Responsibilities
- Lead and manage an engineering team focused on provider acquisition and growth (starting with 2–3 engineers and scaling over time)
- Partner closely with cross-functional stakeholders to build systems that enable rapid experimentation and long-term scale
- Collaborate with the Onboarding team to ensure a seamless end-to-end provider experience from first touch to first appointment
- Drive alignment across your team on process, prioritization, and product outcomes
- Develop and grow your team through weekly 1-1s, mentorship, and feedback
- Work with and help develop aspiring engineering leaders within the engineering team
- Contribute to the broader company strategy and product roadmap
- Remain active technical contributors — pairing with engineers, driving key design decisions, and personally owning select deliverables
- Shape how your team uses AI tools: AI-assisted code review, LLM-powered features, rethinking workflows to automate, shipping responsibly in a healthcare context
Requirements
- 3+ years of experience as an Engineering Manager
- 3-5+ years of experience as a Software Engineer
- Strong product mindset and cross-functional relationship-building skills
- Strong technical foundation to guide appropriate technical decisions
- Track record of building and leading high-performing teams that deliver business outcomes
- Track record of working well across teams and functions
- Energized by experimentation and growth; balance short-term learning with long-term scale
- BS or MS in Computer Science or related field
Nice to Haves
- Prior experience with Python and React and working with AWS infrastructure
- Experience in health tech, building user-facing products
- Experience building or managing teams that ship AI-powered product features — particularly in high-trust domains like clinical tools or financial systems
Tools & Technologies
- Languages: Python 3, TypeScript
- Libraries & Frameworks: FastAPI, SQLAlchemy, React, Remix, Next.js
- Datastores: Postgres, Redis
- Infrastructure: AWS (Fargate, ECS, S3), Spark, Kafka
- Monitoring: Datadog, PagerDuty, Sentry
- Version Control: GitHub
- Vulnerability Management: Snyk, Semgrep
- Cloud Security: Lacework
- AI Tools: Cursor, Claude, Gemini, Eddy (in-house cloud agent harness)
Skills
Python, TypeScript, React, FastAPI, Sqlalchemy, AWS, Postgres, Redis, Spark, Kafka
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