Qventus, Inc · 1 day ago
Engineering Manager
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AnalyticsArtificial Intelligence (AI)
Growth OpportunitiesNo H1B
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Responsibilities
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.
Qualification
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Required
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%.
Preferred
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.
Benefits
Open Paid Time Off
Paid parental leave
Professional development
Wellness
Technology stipends
Generous employee referral bonus
Employee stock option awards
Company
Qventus, Inc
Qventus is the leading system for care operations automation.
Funding
Current Stage
Growth StageTotal Funding
$98MKey Investors
ThedaCare
2022-08-09Corporate Round· $3M
2022-02-28Private Equity· $50M
2018-05-14Series B· $30M
Recent News
2024-05-20
2024-05-20
2023-12-22
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