Technical Product Manager

AdvancedMD•South Jordan, UT

3d•Hybrid

About The Position

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 at AdvancedMD. If 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!

Requirements

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 lifecycles, 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 (e.g., TensorFlow, PyTorch, MCP)
Proficiency in Agile/Scrum methodologies with strong knowledge of Agile principles and process
Strong analytical, communication, and stakeholder management skills

Nice To Haves

10+ years of experience as a product owner with a successful track record of developing products within deadlines
Experience with generative AI (LLMs, transformers) or natural language processing (NLP)
Familiarity with model interpretability, explainability, and responsible AI practices
Background in software engineering or data engineering
Experience working in regulated industries, particularly healthcare or health IT
In-depth understanding of industry market conditions and trends with demonstrated ability to connect technical delivery to longer-term business strategy
Creative and innovative thinker with outstanding verbal and written communication skills and excellent attention to detail
Ability to work independently and as a contributing collaborator across a complex, cross-functional product organization

Responsibilities

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