5 дней назад
Engineering Manager, Growth Activation (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager, Growth Activation (AI): Building patient activation, retention, reactivation, and clinician-matching experiences for an AI-native digital health system with an accent on full-stack product development, experimentation, and scalable architecture. Focus on leading a 4–5 engineer team, improving patient–provider matching under clinical and insurance constraints, and designing data-driven lifecycle experiences that drive measurable health and business outcomes.
Location: New York, NY or San Francisco, CA. Must be legally authorized to work in the United States.
Company
is an AI-native digital health system providing dietitian-led metabolic health care through clinicians, physicians, medications, lab testing, and AI agents.
What you will do
- Build, lead, and develop a high-performing team of 4–5 engineers.
- Coach engineers through feedback, career development, performance management, and promotions.
- Scale the team through recruiting, interviewing, hiring, and onboarding.
- Stay hands-on with architecture, pair programming, coding, code reviews, and on-call responsibilities.
- Partner with product, design, clinical, finance, provider supply, acquisition, billing, and analytics teams to shape roadmaps and deliver measurable outcomes.
- Improve clinician matching and lifecycle experiences across first appointments, notifications, engagement, habit formation, retention, and reactivation.
Requirements
- 6+ years of professional software engineering experience with modern full-stack technologies.
- 2+ years of hands-on engineering management experience.
- Experience hiring engineers and managing performance, promotions, and career development.
- Technical ability to pair program and contribute directly to implementation.
- High proficiency with React, TypeScript, Node, PostgreSQL, or similar modern stacks.
- Experience shipping and owning production systems in fast-moving, ambiguous environments.
Nice to have
- Consumer growth or marketplace experience.
- Experience with experimentation platforms, matching or recommendation systems, and lifecycle engagement.
- Experience with Amplitude or similar analytics tools.
- Experience building AI-powered products.
Culture & Benefits
- High bar for talent and strong technical ownership.
- Emphasis on candid feedback, resilience, urgency, and sound judgment.
- Fast iteration cycles and a data-driven experimentation culture.
- Full-time employment with opportunities to work closely across clinical, product, design, finance, and analytics functions.
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