kernlith
Qventus
Technical Product Architect
Remote · Full-time · United States
- Compensation
- $135,000 – $175,000
- Category
- LLM applications
- Employment
- Full-time
- Workplace
- Remote
Technologies
Snowflake- SQL
About the role
- On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise.
- Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus , you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations.
- About the Role
- We are constantly innovating, using our powerful and flexible platform to create new products, workflows, and solutions. We are looking for a “Master Builder” — someone who combines business savvy, technical and analytical chops, and a rapid experimentation mindset to bring new innovations to life.
- In this role, you'll lead end-to-end product development for highly technical areas of our Periop solution. You’ll scope opportunities, validate them through hands-on data analysis, and partner closely with engineering to design and build scalable solutions that leverage advanced data and AI capabilities.
- Key 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.
- Business 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
- Technical Requirements:
- 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
- Nice to have: experience as a software developer
- Strong proficiency in a database/data warehouse querying language, like SQL or Snowflake (experience in analytics software such as Sigma, Tableau, etc.