Summary
Join Qventus, a leading healthcare transformation company, as a Master Builder to help prototype and develop new innovations by leveraging our platform building blocks.
Requirements
- Strong proficiency in a database/data warehouse querying language, like SQL or Snowflake (experience in analytics software such as Looker, Tableau, etc. is preferred but not required)
- Comfortable reading code and familiar with standard coding concepts across languages (loops, arrays, etc)
- 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
- 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 βroll up your sleevesβ 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
- Excellent written and verbal communication skills; strong, professional presence in working with customers/partners
- 4+ years of experience in Solutions Architecture, Data Integration, Technical Product Management, or related roles
Responsibilities
- Work with cross-functional Solution Teams to assess, design, and develop new solutions for customers
- 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
- Generate data analyses on the effects of product experiments to track and improve customer engagement and success consistently
- Provide technical leadership and coordination to manage the full product lifecycle, with a focus on writing product requirements and PRDs for new product features and new AI/ML models/interventions
- Once youβve figured out the solution and proven it works for multiple customers, youβll package it up for scalable ongoing deployment to all our customers via our Delivery team
Benefits
- Open Paid Time Off
- Paid parental leave
- Professional development
- Wellness
- Technology stipends
- Generous employee referral bonus
- Employee stock option awards