Engineering Manager, Qventus
$165-225k
+ Employee stock option award
AI-powered healthcare operations
Be an early applicant
AI-powered healthcare operations
101-200 employees
Be an early applicant
$165-225k
+ Employee stock option award
101-200 employees
Company mission
To simplify how healthcare operates, so that it works for everyone.
Role
Who you are
- We are seeking an experienced and visionary Engineering Manager to lead our AI Operational Assistants (AIOA) team
- Proven experience (5+ years) in software engineering with 2+ years in an engineering management or technical leadership role
- Strong technical expertise in modern programming languages (e.g., Python, Node, or similar) and cloud platforms (e.g., AWS, Azure, GCP)
- Expertise in cloud-native architecture (AWS preferred)
- Experience delivering AI, machine learning, or data-driven products in a production environment
- Solid understanding of software development best practices, including CI/CD, testing, and code reviews
- Exceptional communication and interpersonal skills, with a focus on fostering collaboration and alignment
- Proven track record of managing and mentoring engineering teams in fast-paced environments
- Hands-on coding contribution up-to 25%
Desirable
- Experience in healthcare technology or developing solutions for highly regulated industries
- Knowledge of AI/ML systems, frameworks (e.g., TensorFlow, PyTorch) and data engineering pipelines
- Familiarity with healthcare interoperability standards (e.g., HL7, FHIR)
- Passion for solving complex operational challenges in the healthcare domain
What the job involves
- This team builds groundbreaking AI-driven tools that empower healthcare providers to automate workflows, optimize operations, and improve patient outcomes
- As an Engineering Manager on our AIOA team, you will drive technical excellence, mentor a talented team of engineers, and ensure seamless collaboration across departments
- You will play a pivotal role in building innovative AI solutions that address complex operational challenges in healthcare while fostering a high-performing and collaborative engineering culture
- This is a high-impact role that combines technical leadership with strategic oversight, working at the intersection of AI innovation and healthcare transformation
- Manage and mentor a team of engineers, fostering a culture of collaboration, innovation, and continuous learning
- Recruit, develop, and retain top engineering talent
- Conduct regular 1:1s and performance reviews to support growth and development
- Lead the design, development, and deployment of AI-driven products and features for the AIOA team
- Ensure projects are delivered on time, within scope, and aligned with company objectives
- Drive agile processes and establish best practices for engineering workflows
- Collaborate with Product Management, Data Science, and Design teams to define technical requirements and product roadmaps
- Guide the team in architecture and systems design to ensure scalability, reliability, and performance
- Stay up-to-date with emerging AI/ML technologies and assess their applicability to our products
- Act as a bridge between engineering and other stakeholders, translating business requirements into technical deliverables
- Communicate project progress, challenges, and successes to executives and cross-functional teams
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
Company
Funding (last 2 of 6 rounds)
Aug 2022
$3m
LATE VC
Mar 2022
$50m
GROWTH EQUITY VC
Total funding: $111m
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 values
- Accountability & Ownership - Anything that affects our ability to help our customers is always “our business”
- Customer Empathy - We invest time and resources to understand our customers and enable their success
- Help Others Succeed - We share knowledge broadly, so that each of us can make the best possible decision
- Plan, Do, Learn, Improve - We seek to continuously improve our company, our products, and ourselves
- Simplicity - We always aspire to simplify things, and eliminate jargon
- Total Honesty Delivered Respectfully - We practice radical honesty and do it with respect and grace
Company HQ
Mountain View, CA
Articles
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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