Software Engineering Manager, Full Stack

Gradient AI Corp.

NY(remote)

JOB DETAILS
SALARY
$170,000–$190,000 Per Year
SKILLS
AWS Lambda, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Artificial Intelligence (AI), Best Practices, Cloud Computing, Continuous Deployment/Delivery, Continuous Integration, Data Science, DevOps, Docker, Engineering Management, Enterprise Architecture, Funding, High Level Architecture (HLA), Insurance, Juniper Networks M-Series, Leading Edge Technology, Legal, Organizational Skills, Product Engineering, Product Planning, Profit & Loss, Python Programming/Scripting Language, React.js, Risk, ScrumMaster, Software Architecture, Software Engineering, Software as a Service (SaaS), Startup, Systems Reliability, Team Lead/Manager, Team Player, Underwriting
LOCATION
NY
POSTED
30+ days ago

Gradient AI:     Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry's largest data lakes-tens of millions of policies and claims-to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast-and it's an exciting time to join the team.  About the Role:     If you want to work on cutting-edge technology with friendly, intelligent people in a highly collaborative environment, then Gradient AI is the right place for you.  We are looking for a software engineering manager to lead a team of full-stack application engineers who are building applications for the insurance industry.  This is a fully remote opportunity.  How you will make an impact:  Grow, build, and lead a world-class full-stack engineering team delivering SaaS products at scale   Drive high-level architecture decisions and own their execution across the stack   Partner with data engineering and data science teams to design and ship integrated MLOps workflows and AI-powered product features   Champion engineering best practices, including code quality, CI/CD, observability, and system reliability, across the organization   Skills needed to succeed:    7+ years of software architecture experience in an enterprise or commercial SaaS environment   5+ years managing and growing software engineering teams, ideally in a fully remote setting   Hands-on background in full-stack development with Python and React + TypeScript   Strong command of AWS cloud infrastructure (e.g. ECS/EKS, Lambda, RDS, S3, IAM)   Experience with modern CI/CD pipelines, containerization (Docker/Kubernetes), and DevOps practices   Proven track record of improving cross-team collaboration and software delivery processes  Experience as a scrum master for a cross-discipline team  Bonus Points for: Experience managing teams across multiple engineering disciplines, including both software and data engineering.   Experience transitioning from client-driven development priorities to product roadmap priorities    Experience working in Insurtech or on AI/ML products   Familiarity with ML model deployment and ML Ops concepts- enough to partner effectively with data science teams  What We Offer:   A fun, team-oriented startup culture.   Generous stock options - we all get to own a piece of what we're building.   Unlimited vacation days.   Flexible schedule that supports working from home.   Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more.   * Ample opportunities to learn and take on new responsibilities.   We are an equal opportunity employer.  Salary Range: $170,000-190,000 base salary annually.  This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package. In accordance with the Massachusetts Pay Transparency Law, we are providing a good-faith salary range for this position at the time of posting. The actual salary offered will depend on the level at which the candidate is hired, as well as their experience, skills, qualifications, and location. Compensation may grow over time through merit-based increases, promotions, and company-wide adjustments. If your salary expectations fall outside this range, we still encourage you to apply so we can have a conversation. 

About the Company

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Gradient AI Corp.