Product Manager

HEALTHSTREAM INC•Nashville, TN

1d•$86,400 - $100,000•Hybrid

About The Position

HealthStream is seeking a Product Manager to own the "Intelligence Infrastructure" that powers an agentic operational workflow. This role involves architecting the "Source of Truth" by focusing on how data is collected, aggregated, and governed within a scalable cloud data and compute ecosystem. The goal is to ensure the platform and AI agents operate on high-fidelity, high-accuracy data. The Product Manager will support and grow this infrastructure throughout its lifecycle, collaborating across internal departments, interfacing with customers, and researching product improvement options. This role defines and implements the product's vision and roadmap, aiming to achieve measurable revenue and customer satisfaction goals while aligning with HealthStream's organizational strategy.

Requirements

Bachelor’s degree in a technical or analytical field preferred (e.g., CS, Data Science, Info Systems) or equivalent practical experience.
3+ years in Product Management, Data Engineering, or Technical Analytics.
Hands-on experience with AWS (S3, Lambda, or Glue) and Snowflake is strongly preferred.
Experience with API-first architecture and an understanding of the LLM lifecycle (prompt engineering, context management, or RAG) is a significant advantage.
Plans and executes own activities with generally defined goals and minimal supervision.
Manages activities for multiple concurrent and complex projects with the appropriate prioritization and focus.
Works within a multi-disciplinary and cross-functional team with respect towards others and focus on successfully meeting team goals.
Appropriately influences cross-functional team members without formal authority or management control.
Establishes high level of trust and credibility internally, with business partners, and with customers.

Nice To Haves

Experience in healthcare technology, credentialing, or compliance software is a plus.

Responsibilities

Adhere to all HealthStream security policies, procedures, and assigned training.
Create confidence, clarity, and customer connection for all product stakeholders.
Create and manage strategy for Intelligence Infrastructure within the context of the overall product family and organizational priorities.
Conduct research to fully understand the competitive environment, market share and report internally on this analysis.
Informally manage, support, and direct an organization-wide and cross-functional team of employees who work within a matrix environment for assigned products.
Identify, resolve, and monitor customer and product issues with the assistance of client services support.
Lead the strategy for aggregating disparate datasets into our centralized analytical data warehouse, moving us from silos to a unified platform.
Develop and document the “Rules of the Road” for our data, defining the logic and schemas that our AI agents use to make decisions.
Work closely with engineering to optimize our cloud pipeline and warehousing environment for scalability and performance.
Establish data validation rules and ingestion standards to ensure the “Source of Truth” remains clean and reliable.
Act as the translator between raw data infrastructure and high-level product goals.
Work effectively with Data Engineers and AI Researchers, influencing the technical roadmap through data-backed evidence rather than formal authority.
Take a high-level goal (e.g., “Aggregate data”) and architect the rules to make it happen without a step-by-step manual.
Successfully use modern technical tools (e.g., Snowflake, AWS Console, Postman/APIs) alongside standard business applications.
Explain data schemas and infrastructure logic to both engineering teams and non-technical stakeholders.
Translate messy, disparate data sources into a structured “Source of Truth” for automated systems.
Research and evaluate potential new data partnerships and other external opportunities.
Make recommendations for future new partnerships and manage product enhancements with existing partners.
Conduct negotiations with partners to finalize business relationships and contracting, with the support of Product Management leadership and internal legal counsel.
Manage ongoing relationships with existing data partners and data providers, including gaining a deep understanding of business and technical aspects of the relationship.