Lead / Principal Product Manager - Inpatient & Data Science

Remote

Applications have closed

The Company
Qventus provides a real-time decision-making platform for hospital operations. Our mission is to simplify how healthcare operates, so that hospitals and caregivers can focus on delivering the best possible care to patients. We use artificial intelligence and machine learning to create products and solutions that help nurses, doctors, and hospital staff anticipate issues and make operational decisions proactively. We work with leading public, academic and community hospitals across the United States.
The Role
We’re looking for a Lead / Principal Product Manager to own the vision, strategy, roadmap, and development of a set of exciting, high-growth solutions related to the Inpatient domain, as well as to work with our Data Science & Machine Learning team to own one of the key layers of our SaaS platform (our AI/ML models & engines). The scope of this role is expansive, and the opportunity for social impact is immense. Using your product management expertise, combined with your drive and passion to make a difference, you’ll work with multiple talented teams across Qventus to discover, define, execute, and launch new products and solutions, as well as to improve and optimize our existing products.

Responsibilities:

  • Guide a team of engineers, data scientists, designers, and clinical experts to ship great products that solve meaningful customer problems
  • Discover and validate new product opportunities through a deep understanding of our users, market, technology, strategy, and data
  • Define the vision, strategy, problems to solve, and key requirements for the solutions that address the opportunities you identify
  • Get involved with the design and software development process, and manage the product backlog
  • Follow through to launch and iterate on products, ensuring that they make the desired impact on our users and our business
  • Develop and maintain strong relationships with users, buyers, and external thought leaders to inform your work

Requirements and Qualifications:

  • Mastery of navigating enterprise products/solutions through the full product lifecycle, with a track record of rapidly shipping impactful products
  • Comfort developing products that heavily leverage data, analytics, and AI/machine learning
  • Proven track record of collaboration across all functions in an enterprise SaaS healthcare technology business (engineering, professional services, clinical operations, etc.)
  • Ability to span altitudes from vision/evangelism to “getting into the weeds” with high attention to detail and strong organizational skills
  • Excellent written and verbal communication skills; strong, professional presence in working with customers/partners (including C-Suite executives)
  • Willingness to “roll up your sleeves” and pitch in / fill in gaps when a team needs help
  • At least 6 years of experience in product management, with a proven track record of shipping impactful products
Qventus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
Candidate information will be treated in accordance with our candidate privacy notice which can be found here: https://qventus.com/ccpa-privacy-notice/

Tags: Engineering Healthcare technology Machine Learning ML models

Perks/benefits: Career development Medical leave Startup environment

Region: Remote/Anywhere
Job stats:  5  0  0
Category: Leadership Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.