Technical Product Architect
Posted on 11/9/2023
AI-powered healthcare operations automation system
Company Overview
Qventus, Inc., a leader in care operations automation, leverages AI, machine learning, and behavioral science to optimize healthcare operations, demonstrating its technical prowess and industry leadership. The company's culture of transformation and improvement is evident in its successful deployments across numerous health systems, achieving significant outcomes such as 30-50% fewer excess days and over $10 million in annual financial value per facility. Recognized for its client satisfaction and operational efficiency, Qventus stands out for its strategic partnerships, robust platform, and commitment to driving value for health systems, patients, and employees.
AI & Machine Learning
Data & Analytics
B2B
Company Stage
N/A
Total Funding
$98.3M
Founded
2012
Headquarters
Mountain View, California
Growth & Insights
Headcount
6 month growth
↑ 6%1 year growth
↑ 13%2 year growth
↑ 42%Locations
United States
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Data Science
Marketing
Sales
Snowflake
SQL
Tableau
Looker
CategoriesNew
Data & Analytics
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 simple 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 healthsystem using FHIR endpoints is highly valued but certainly not a requirement)
- Familiarity with, and the ability to quickly learn more about, key machine learning concepts
- 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 “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
- Excellent written and verbal communication skills; strong, professional presence in working with customers / partners
Responsibilities
- Work with cross-functional “Solution Teams” comprised of product managers, data scientists, designers, clinicians, customer success managers, and more to assess, design, and develop new solutions for our 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 consistently track and improve customer engagement and success
- 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 data science models/interventions
- Once you've figured out the solution and proven it works at multiple customers, you'll package it up for scalable ongoing deployment to all our customers via our Delivery team