Qventus, Inc is leading the transformation of healthcare by enabling hospitals to focus on patient care through innovative solutions powered by machine learning and AI. They are seeking a Technical Product Manager to lead end-to-end product development, collaborating with cross-functional teams to design and build scalable solutions that enhance customer outcomes.
Responsibilities:
- Work with cross-functional solution and platform teams composed of product managers, data scientists, designers, clinicians, customer success managers, and more to assess, design, and develop new solutions for our customers
- Lead product management for technical product areas, from opportunity assessment through delivery, including writing requirements and PRDs
- Drive data analysis (SQL/Snowflake, Sigma, etc.) to size opportunities, evaluate product experiments, and measure customer impact
- Scope data requirements and integration options (FHIR, HL7, CCL, etc) for new solutions, and work with the team to ingest, validate, and experiment with new data
- Build new solutions via an iterative, rapid-prototyping-based approach to find the optimal solution to drive customer outcomes
- Once you’ve figured out the solution and proven it works for multiple customers, you’ll package it up for scalable ongoing deployment to all our customers via our Delivery team
Requirements:
- Excellent written and verbal communication skills; strong, professional presence in working with customers/partners
- A systematic, analytical, and detail-oriented approach to problem-solving, grounded in business use cases and end-user workflows
- A startup mindset, with a willingness to 'roll up your sleeves' and pitch in / fill in gaps wherever the team needs help
- Proven track record of collaboration across functions spanning Product, Engineering, Customer Success, and Marketing / Sales
- Experience with project/program management tools and techniques, with the ability to maintain a lightweight project management structure despite rapid solution iteration
- 4+ years of experience in Solutions Architecture, Data Integration, Technical Product Management, Platform Product Management, or related roles
- Experience working with healthcare data, and the ability to scope data requirements for new solutions (experience setting up data streams on a healthcare interface engine like Rhapsody/mirth, or integrating with a health system using FHIR endpoints is highly valued but not a requirement)
- Familiarity with, and the ability to quickly learn more about, key generative AI and machine learning concepts, especially related to agentic generative AI frameworks and prompt engineering
- High-level understanding of backend software infrastructure
- Strong proficiency in a database/data warehouse querying language, like SQL or Snowflake (experience in analytics software such as Sigma, Tableau, etc. is preferred but not required)
- Comfortable reading code and familiar with standard coding concepts across languages (loops, arrays, etc)
- Nice to have: experience as a software developer