Senior Client Executive
Read straight from Gradient AI's careers page, verified 3d ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
Salary$110k – $135k
LocationRemote
Work moderemote · United States
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentClient Support
EquityIncluded
Company size51–200 people
PostedOct 22, 2026 · 2w ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
5+ years of experience in a post-sale client relationship role, supporting customers through implementation and ongoing engagement
Prior experience in the health insurance industry
Exceptional organizational, communication, and documentation skills
Proven track record in project/account management
Experience using CRM tools (Salesforce preferred) and Excel
Customer-first mindset with the ability to build trusted client relationships
Underwriting background is a strong plus
Skills
Salesforce
Excel
Benefits
Medical insurance
Dental insurance
Vision insurance
401(k)
Unlimited PTO
Equity
Performance bonus
Parental leave
This is a fully remote opportunity
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:
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.
How you will make an impact:
•
Act as the primary post-sale point of contact, building and maintaining strong, long-term client partnerships
•
Lead post-sale implementation efforts by defining business needs, configuring product recommendations, and establishing ROI metrics
•
Analyze and monitor client dashboards to ensure usability and uncover insights related to model performance
•
Document all phases of project management and maintain detailed client engagement records
•
Collaborate closely with Sales, Product, Data Science, and Engineering teams on a weekly basis
Skills needed to succeed:
•
5+ years of experience in a post-sale client relationship role, supporting customers through implementation and ongoing engagement
•
Prior experience in the health insurance industry; underwriting background is a strong plus
•
Exceptional organizational, communication, and documentation skills
•
Proven track record in project/account management
•
Experience using CRM tools (Salesforce preferred) and Excel
•
Customer-first mindset with the ability to build trusted client relationships
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.
Legal
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.