Published: Wed, 18 Dec 2024 00:50:16 GMT
Position: Engineering Manager at Qventus
Company Overview:
Qventus is a leading healthcare technology company that has been transforming the industry for over 12 years. Our innovative solutions utilize machine learning, generative AI, and behavioral science to empower care teams and enhance patient outcomes. With the support of top investors, we have rapidly expanded our reach globally. Join our mission-driven team and make a direct impact on the lives of patients.
Job Overview:
We are seeking an experienced and visionary Engineering Manager to lead our AI Operational Assistants (AIOA) team. This team is responsible for developing groundbreaking AI tools that automate workflows, optimize operations, and improve patient outcomes in healthcare.
As an Engineering Manager for the AIOA team, you will provide technical leadership, mentor a team of talented engineers, and facilitate collaboration across departments. This role is crucial in building innovative AI solutions that address complex operational challenges in healthcare while fostering a high-performing and collaborative engineering culture.
Key Responsibilities:
Team Leadership:
– Manage and mentor a team of engineers, promoting collaboration, innovation, and continuous learning.
– Recruit, develop, and retain top engineering talent.
– Conduct regular 1:1s and performance reviews to support growth and development.
Project Management:
– 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.
Technical Leadership:
– 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.
Cross-Functional Collaboration:
– Act as a liaison between engineering and other stakeholders, translating business requirements into technical deliverables.
– Communicate project progress, challenges, and successes to executives and cross-functional teams.
Qualifications:
– 5+ years of experience 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).
– Experience with cloud-native architecture, preferably AWS.
– 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%.
Preferred Qualifications:
– 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.
Salary and Benefits:
The salary range for this role is $165,000 to $225,000. Qventus salary bands reflect market data across different geographies and are determined by factors such as location, skills and qualifications, and prior relevant experience. Salary is just one component of Qventus’ total package, which includes:
– Open Paid Time Off
– Paid parental leave
– Professional development opportunities
– Wellness and technology stipends
– Generous employee referral bonus
– Employee stock option awards
We are committed to diversity, equity, inclusion, and belonging and believe that they are essential to improving healthcare and society. We are dedicated to using fair hiring processes that mitigate the negative impacts of unconscious bias and ensuring that people from underrepresented groups play meaningful roles on both sides of the interview table. We are an equal opportunity employer and consider all qualified applicants 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 on our website.
Employment is contingent upon the satisfactory completion of a pre-employment background investigation and drug test.
*Benefits and perks are subject to plan documents and may change at the company’s discretion. Apply link
