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HeadwayHeadwayNew York, NY

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.

190k – 238k/yr
On-site3+ YOEEngineering Management

About the role

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

PythonTypeScriptReactFastAPISqlalchemyAWSPostgresRedisSparkKafka

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