2 дня назад
Lead Product Manager (Healthcare AI)
129 500 - 186 100$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Lead Product Manager (Healthcare AI) (SaaS, AI): Building AI-powered healthcare scheduling capabilities within a workforce management portfolio with an accent on rapid prototyping, model behavior, output quality, and user trust. Focus on defining evaluation frameworks, partnering on prompt and model tradeoffs, and improving scheduling accuracy through end-to-end product delivery.
Location: Lowell, Massachusetts, United States
Salary: $129,500–$186,100 annual base pay, plus potential performance-based bonus and restricted stock unit awards.
Company
provides a workforce operating platform powered by workforce insights and people-first AI.
What you will do
- Develop and execute product strategy for AI-powered workforce management and healthcare scheduling.
- Build rapid AI prototypes with tools such as Cursor, Claude, Replit, and v0 to validate product concepts.
- Define model behavior, success criteria, edge cases, trust signals, and output-quality standards for scheduling intelligence.
- Partner with Engineering and Data on prompt design, model tradeoffs, evaluation pipelines, and delivery of AI-powered solutions.
- Engage customers and partners to identify scheduling pain points and translate them into product opportunities.
- Define AI-specific KPIs covering output quality, scheduling accuracy, time-to-value, and user trust.
Requirements
- 7+ years of experience delivering or managing SaaS applications in an Agile environment.
- Demonstrated experience building or shipping AI-powered products and hands-on AI prototyping.
- Technical fluency in prompt engineering, model tradeoffs, AI evaluation, and probabilistic system behavior.
- Experience using Cursor, Replit, v0, Claude, or equivalent prototyping tools.
- Strong communication, storytelling, cross-functional collaboration, and influence without formal authority.
Nice to have
- Experience in workforce management, healthcare, or scheduling.
- Knowledge of acuity matching, certification requirements, compliance constraints, and union rules.
- Familiarity with agentic AI architectures, LLM APIs, and AI/ML product design patterns.
- Experience defining evaluation frameworks for probabilistic AI systems.
Culture & Benefits
- Benefits and practical support designed to provide flexibility and employee security.
- Potential performance-based bonus and restricted stock unit awards.
- Equal opportunity employment and disability accommodations throughout the application and interview process.
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