Technical Product Manager
Listed on 2026-07-14
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AI Business & Operations
AdvancedMD is a unified cloud suite of medical office software hosted on Amazon Web Services/AWS including practice management, electronic health records, and patient engagement, and offers managed medical billing services for independent practices. AdvancedMD serves an expansive national footprint of 65,000 practitioners across 14,000 practices and 900 independent medical billing companies. 8.8M insurance claims are processed every month on the AdvancedMD billing platform!
RoleSummary
Are you a visionary problem solver with deep technical expertise who thrives on translating complex AI/ML capabilities into products that drive real business value? At AdvancedMD, we are driven by your success. AdvancedMD is seeking an ambitious, forward-thinking AI/ML Technical Product Manager to lead the development and execution of machine learning and artificial intelligence initiatives across our product portfolio. The AI/ML TPM will serve as the primary bridge between data science, engineering, and business — defining product vision, owning the AI/ML roadmap, and delivering intelligent, user‑centric solutions that transform how our teams and clients operate.
At AdvancedMD, we engage your unique talents and perspectives. We welcome your ideas on how to do things differently and better. In your efforts to achieve, learn and grow, we support you all the way. If success motivates you, you belong you are a proactive, technically sharp team player who thrives in a collaborative environment and is passionate about bringing AI innovation from concept to production, we want to hear from you!
EssentialJob Duties Product Vision & Roadmap Ownership
- Define and own the AI/ML product roadmap in alignment with company goals and technical feasibility, spanning both the customer‑facing product portfolio and company‑wide AI enablement across functions
- Develop and maintain a prioritization framework to drive AI solutions into the product portfolio, with focus on market urgency, size of the prize, viability, value, feasibility, and technical constraints
- Oversee all stages of the product development process, from concept through release, ensuring timely delivery and stakeholder satisfaction
- Monitor user reaction to new releases and ensure business value is achieved from product capabilities
- Collaborate with product managers across the portfolio, data scientists, machine learning engineers, software developers, and stakeholders to build scalable AI‑driven solutions
- Translate business needs into detailed technical requirements, user stories, product specifications, and acceptance criteria
- Build and manage the product backlog, ensuring the development team has a clear understanding of product vision and priorities
- Work alongside users to understand their needs and ensure user stories are ready for development with all supporting documentation and wireframes
- Drive A/B testing, experimentation, and model validation strategies to evaluate performance of ML models in production
- Demonstrate the ability to measure value and impact with key metrics and outcomes associated with AI rollout to customers and AdvancedMD employees
- Track performance metrics, user adoption, and model accuracy to continuously improve AI solutions
- Ensure models are built and deployed with proper governance, fairness, transparency, and privacy compliance
- Stay current on AI/ML technologies, industry trends, ethical considerations, and emerging frameworks
- Perform other duties as needed and directed by leadership
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field
- 5+ years of product management experience, with 2+ years focused on AI/ML‑based products
- 3–5 years of experience as a Senior Technical Product Manager in an enterprise environment
- Strong understanding of machine learning concepts, model life cycles, and data pipelines
- Experience working with MLOps tools, model deployment, and performance monitoring
- Technical proficiency with data stacks (e.g., Python, SQL, APIs, cloud services) and common AI/ML frameworks…
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