Job Description
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 applicationengineers 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.
