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Gradient AI seeks a Senior Client Executive to join the Client Services team. You will manage the post-sale lifecycle for health insurance clients, from implementation to ongoing engagement, ensuring value and ROI from our AI-driven analytics platform.
You will work closely with Sales, Product, Data Science, and Engineering to align client objectives with product capabilities, maintaining accountability for seamless deployment and continued success.
Type not stated · Customer support · posted 2026-10-22 · open until 2026-11-21
The post says remote but names no country or region limit: "Remote"
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.
We are looking for a proactive and hands-on Senior Client Executive to join our Client Services team. In this role, you'll manage every phase of the post-sale client lifecycle—from implementation and workflow design to data analysis, project management, and relationship building. You’ll work directly with our health insurance clients, ensuring they maximize the value of our predictive analytics solutions.
The ideal candidate will have a strong understanding of both client business objectives and the technical aspects of our platform, maintaining accountability for seamless implementation and successful, ongoing use of our products.
We are an equal opportunity employer.
Salary Range: $110,000-135,000 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.