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TITLE

 

Product Manager, Machine Learning & Data Products

COMPANY

 

Qventus

LOCATION

 

Mountain View, CA, US

Description

The Company
Qventus is 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 that help nurses, doctors, and hospital staff anticipate issues and make operational decisions proactively.

Qventus works with leading public, academic and community hospitals across the United States. The company was recognized by the 2016 Fierce Innovations Awards in Healthcare and by Healthcare Informatics as a 2017 Innovator Award winner.

The Role
We’re looking for a Product Manager to own the strategy, roadmap, and development of our next gen machine learning and data products. You'll work with a talented team of engineers, designers, and clinical experts to discover, define, execute, and launch new products and solutions for our users, 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, and strategy
Define the vision, strategy, problems to solve, and key requirements for new and existing data & machine learning products
Get involved with the design and software/algorithm development process, and manage the product backlog
Follow through to launch and iterate on products, ensuring that they make impact for our users and our business
Qualifications

At least 3-5 years of experience in software product management, with a proven track record of shipping impactful products. Enterprise SaaS product management experience preferred.
Demonstrated experience in managing products with analytics / machine learning elements
Comfortable operating in an agile environment, working closely with engineering & design
An understanding of how to drive end-user behavior change through software

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