We are a team of technologists, software engineers, doctors, nurses, and lean healthcare experts with on-the-ground experience solving operational challenges in clinical environments. Qventus helps hospitals like Stanford/Mayo Clinic/Emory/New York Presbyterian reduce wait time for patients, prevent patient falls, and generally helps hospitals deliver a better and safer experience for patients, resulting in reduced injuries, loss of life, and financial waste.

We're making a big difference. Qventus has meaningfully affected patient experiences and outcomes for almost 4 million patients across the united states. Our platform works with hospital data to predict negative outcomes for patients and associated potentially disastrous situations that are likely to occur, then applies our system of action to reach the right doctors and nurses, at the right time, telling them where to go to stop these events before they happen. Think Minority Report applied to hospitals.

Our founding team has done this before. Two of our three founders worked in consulting for over a decade solving efficiency problems in hospitals. They know hospitals, where they've been, where they want to go, and how to work within them to drive the necessary mind shift and change management we need to drive this new wave of technology.

Our team is top notch! We have the fortune of having amazing engineerings and data scientists from top schools (Stanford, MIT, Cal, etc.) applying the latest in artificial intelligence and machine learning to create products that help healthcare organizations around the world and their people adapt in the moment and make the right decisions from the most complex data. Furthermore, we employ several practicing clinicians (practicing surgeons, doctors, nurses) in the company to help us understand the hospital environment. We take what we do very seriously.

On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise.

Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations.

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.

Key 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 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 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

What We’re Looking For: 

Technical 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

• Nice to have: experience as a software developer

Business Requirements:

• 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

The salary range for this role is $130,000 to $159,000. Qventus salary bands represent market data across different geographies. We consider several factors when determining compensation, including location, skills and qualifications, and prior relevant experience. Salary is just one component of Qventus’ total package. Some of our key benefits and perks* include but are not limited to: Open Paid Time Off, paid parental leave, professional development, wellness, and technology stipends, generous employee referral bonus, and employee stock option awards.

We believe that diversity, equity, inclusion, and belonging are fundamental to improving healthcare and society, and that’s why we’re building a company that leads the way. We hold ourselves accountable to using fair hiring processes that mitigate the negative impacts of unconscious bias. We also work to ensure that people from underrepresented groups play meaningful roles on both sides of the interview table. We are an equal opportunity employer and give all qualified applicants 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/

Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.

*Benefits and perks are subject to plan documents and may change at the company's discretion.

Engineering is comprised of several teams: - Web Apps: Responsible for our web platform and associated services. - Mobile: Responsible for our mobile products (iOS and Android). - Data Platform: Responsible for ETL, data processing and platform, managing data lifecyle from customer ingest to persistence, serving data to data science and web apps groups. - Data Science: Responsible for our ML development. - DevOps: Infrastructure and associated infrastructure services, working with teams to build and maintain CI/CD pipelines. - QA: Responsible for quality definition, automation, QA infrastructure, driving quality process from development through release. Functional QA is largely outsourced, we prefer to have QA team focused more on the engineering required to scale a large QA org.

Some of the challenges we are facing:

1. Using AI/ML- We use predictive analysis to help doctors and nurses make proactive operational decisions so they can focus on patient care

2. Data scaling- We are starting to get significantly larger volumes of data, which is also increasingly becoming more and more clinical (lab results, etc) in nature.

3)Data sensitivity- Because this data is more clinical, it is more sensitive and requires a higher bar on how we set up and monitor our systems.

4)Data Ingestion- Getting data out of hospitals is not an easy task. We have to figure out more scalable solutions to help us grow quickly. This is an industry wide problem and we are looking to do it better than just about anyone else.

5)Product growth- Expansion in more areas of the hospital means we have more to learn and an opportunity to expand our product to achieve more outcomes.