3 дня назад
Lead Technical Product Manager (AI)
107 500 - 188 400$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Lead Technical Product Manager (AI): Driving growth for UpToDate Expert AI across clinician awareness, acquisition, activation, and early engagement with an accent on funnel optimization, experimentation, and cross-functional execution. Focus on improving AI product adoption across web, mobile, enterprise, and EHR channels, building measurement frameworks, and balancing rapid iteration with clinical, privacy, and regulatory requirements.
Location: USA-MA-Remote; other hiring locations include offices and remote options across the United States. The role may require onsite interviews at a office.
Salary: $107,500–$188,400 USD base salary, plus eligibility for a bonus.
Company
combines clinical expertise with responsible AI to build products that improve healthcare delivery.
What you will do
- Define and drive the growth strategy for UpToDate Expert AI across awareness, acquisition, activation, and early engagement.
- Own growth OKRs and identify high-impact opportunities to increase clinician adoption.
- Improve discovery, access, onboarding, and activation across web, mobile, enterprise, and EHR channels.
- Lead cross-functional initiatives with marketing, sales, customer success, partnerships, product, engineering, and data teams.
- Support go-to-market activities, including messaging, positioning, and launch strategy for AI capabilities.
- Use experimentation, cohort analysis, instrumentation, and user research to improve conversion, engagement, and early retention.
Requirements
- 7–10 years of product management experience, including growth, acquisition, or user engagement initiatives.
- Demonstrated success improving user adoption, activation, or early lifecycle engagement.
- Strong analytical skills and experience using data to prioritize product decisions.
- Technical fluency and the ability to partner effectively with engineering and data teams.
- Experience working across multiple functions and in complex or enterprise environments.
- Excellent communication skills and the ability to align diverse stakeholders in ambiguous situations.
Nice to have
- Experience in healthcare technology, clinical decision support, or provider-facing products.
- Familiarity with clinician workflows and barriers to technology adoption.
- Experience with AI/ML-powered products, including LLM-based features.
- Understanding of HIPAA, SOC 2, HITRUST, or similar regulatory environments.
Culture & Benefits
- Remote and hybrid work options are available for US locations.
- Medical, dental, and vision plans.
- 401(k), FSA/HSA, commuter benefits, and tuition assistance.
- Vacation, sick time, and paid parental leave.
- Work focused on responsible AI and clinical, privacy, and regulatory rigor.
Hiring process
- Interviews assess individual skills, experience, and communication without AI tools or external prompts.
- Applicants may be required to participate in person at a office.
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