Technical Product Architect, Qventus
$130-160k
+ Stock Options Awards
AI-powered healthcare operations
Be an early applicant
AI-powered healthcare operations
101-200 employees
Be an early applicant
$130-160k
+ Stock Options Awards
101-200 employees
Company mission
To simplify how healthcare operates, so that it works for everyone.
Role
Who you are
- 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
- Nice to have: experience as a software developer
- 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
- 4+ years of experience in Solutions Architecture, Data Integration, Technical Product Management, or related roles
What the job involves
- We are innovating constantly, using our powerful and flexible platform to create new products, workflows, and solutions
- We are looking for a “Master Builder” who brings the combination of business savvy, technical & analytical chops, and a rapid experimentation mindset to help us prototype and develop these new innovations by leveraging our platform building blocks
- 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 AI/ML models/interventions
- 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
Our take
The pressure on US hospitals is increasing due to rising costs of care and pharmaceuticals, in addition to increasing expectancy of high-quality services at lower prices. Vast bodies of medical data sets can be used to help ease bottlenecks in these overworked systems, but processing this data into actionable insights is a laborious and time-consuming task.
Qventus improves the operational efficiency of hospitals and medical centers by using AI to interpret raw medical data into actionable data for staff. The data produced helps teams anticipate bottlenecks and resolve problems before they occur. Qventus claims this forward-thinking approach helps decrease the length of stay of patients, increase morning discharge rates, and overall improve cash flow margins.
Many healthcare SaaS startups have aims to use AI to interpret medical data, but Qventus’ approach to identifying bottlenecks within a health system is particularly beneficial. The software uses machine learning to drive its AI, meaning that with every problem identified and prevented, the system will become smarter. Funding raised by the company will be used to support the development of new solutions and innovations, as well as continue its expansion to additional hospitals and health systems.
Steph
Company Specialist at Welcome to the Jungle
Insights
6% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Jan 2025
$85m
SERIES D
Aug 2022
$3m
LATE VC
Total funding: $196m
Company benefits
- Stock options
- Comprehensive health benefits with 90% of the cost covered for employees
- Paid parental leave for all new parents
- Generous HSA contribution
- Paid disability and life insurance
- Participation in a 401(k)
- Wellness + Tech stipends
- Education and professional development reimbursement
Company HQ
Mountain View, CA
Leadership
Mudit Garg
(CEO)After 2 years as a McKinsey Consultant and an MBA at Stanford, they co-founded Qventus in August 2012. They have served as CEO since then.
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