Job Title: AI Product Manager- Healthcare Revenue Cycle Management
FTE (6 months contract to hire)
Location: Remote- East Coast Hours
Company Overview:
BigRio is a technology consulting firm empowering data to drive innovation and advanced analytics. We specialize in cutting-edge Big Data, Machine Learning, and Custom Software strategy, analysis, architecture, and implementation solutions. Our elite team, with MIT roots, excels in tackling complex missions, whether it’s assembling vast amounts of data from various sources, surfacing intelligence with Deep Learning, or building high-volume, highly-available systems. We consistently deliver innovative, cost-effective, and extensible solutions to complex business challenges.
Position Overview:
We are seeking a dynamic and experienced AI Product Manager with a strong background in Revenue Cycle Management RCM for our Digital Health team. You will be responsible for creating new and exciting AI-driven digital health software products and solutions that focus on Revenue Cycle Management (RCM) in our healthcare clients’ environments.
The ideal candidate will possess a strong understanding of generative AI (NLP, LLMs) and machine learning technologies, coupled with a proven track record in product management within the healthcare sector.
Key Responsibilities:
- Product Strategy and Vision: Develop and communicate a clear product vision and strategy for AI initiatives, ensuring alignment with company goals and market needs.
- Roadmap Development: Create and manage detailed product roadmaps, prioritizing features and initiatives based on business value, customer needs, and technical feasibility.
- Market Analysis: Conduct thorough market research to identify trends, customer pain points, and opportunities for AI applications in healthcare payments and revenue cycle management.
- Stakeholder Engagement: Collaborate with internal and external stakeholders to gather requirements, provide updates, and ensure that the product meets user expectations and regulatory standards.
- Performance Monitoring: Define and track key performance indicators (KPIs) to assess product success and inform ongoing improvements.
Qualifications:
- Bachelor’s or Master’s in Computer Science, Data Science, Business, or a related field.
- Experience building AI products with LangChain.
- 5+ years of experience in a Technical Product Manager role, with a focus on AI or machine learning products; experience in the healthcare industry is highly desirable.
- Proven experience bringing AI-backed or AI-native products to market.
- In-depth experience building and launching products with major cloud providers.
- Strong communication skills, both written and verbal, with the ability to collaborate effectively in a remote-first environment.
- Demonstrated passion for continuous learning and staying updated with emerging technologies; experience building labs or engaging in hands-on technical projects is a plus.
- Ability to demo products at both high-level overviews and detailed technical explanations, articulating not just the “why” but also the “how” behind product functionalities.
Preferred Skills:
- Experience working in remote-first companies and navigating large distributed teams.
- Background working with enterprise data products.
- Experience with a variety of IT and security tools and technologies, and understanding how best to integrate and onboard data.
- Experience working with products deployed across multiple types of environments and infrastructure (cloud, on-premises, hybrid).
- No fear in speaking your mind; strong advocacy and negotiation skills.
Equal Opportunity Statement:
BigRio is an equal-opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, national origin, sex, sexual orientation, gender identity, age, pregnancy, status as a qualified individual with disability, protected veteran status, or other protected characteristic as outlined by federal, state, or local laws. BigRio makes hiring decisions based solely on qualifications, merit, and business needs at the time. All qualified applicants will receive equal consideration for employment.
