Gradient AI

• Build your own book of business from the ground up with a strong pipeline of prospective customers through direct prospecting, relationships, and referrals • Lead all aspects of the consultative sales process including new business development, client research, objection handling, demoing, closing, and follow up • Draft statements of work and pricing proposals • Master our value proposition today and as the competitive landscape evolves • Hit, achieve, and exceed monthly and annual sales targets

• Support the Health sales team by leading the creation, development, and ongoing maintenance of sales demo environments and presentation materials. • Arm the sales team with client success stories, KPI analyses, and reports that quantify client ROI. • Participate on sales calls, providing demonstrations of our solutions and technical support for explanations of our products. • Lead proof of concept (POC) engagements with goal of turning POCs into production clients. • Field questions that range from technical understanding of ML models to general understanding of implementation tasks and milestones. • Lead discovery meetings with prospective clients to map underwriting processes and identify operational and financial enhancement opportunities. • Validate report and presentations of findings to describe the value of Gradient AI’s solutions. • Provide direction on technical aspects of implementations to ensure Statements of Work align with the clients' intentions and our team’s delivery expectations. • Support internal initiatives that further organization product development.

• Own and grow a pipeline of enterprise opportunities across the group health ecosystem through strategic prospecting, existing relationships, and referral networks. • Lead the full consultative sales cycle from discovery and needs assessment through solution design, ROI modeling, contract negotiation, and close—engaging underwriting, actuarial, and C-suite stakeholders throughout. • Craft compelling statements of work, pricing proposals, and executive-level business cases that clearly articulate Gradient AI’s value to health plan and benefits decision-makers. • Develop deep domain expertise in AI-powered underwriting and stop loss analytics, and clearly communicate how our solutions drive loss ratio improvement, operational efficiency, and portfolio growth for health insurance clients. • Hit, achieve, and exceed monthly and annual sales targets; provide accurate forecasting and pipeline reporting in CRM.

• Grow, build, and lead a world-class engineering team • Participate in high-level design decisions and execute them • Work closely with data engineering, software engineering, and data science team members to create integrated automated processes that support a robust ML Ops workflow • Be a technical interface for our client implementation team and partners to implement clients

This is a remote opportunity. Strong preference to candidates that can work in Eastern timezone. We are not able to consider candidates internationally located at this time. 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 detail-oriented and creative thinker to join our team as a Senior QA Engineer. The successful candidate will be responsible for ensuring the quality of our software products through the design, development, and execution of manual and automated test cases. This individual will collaborate with other members of the development team to identify and resolve issues before they are released into production. The ideal candidate is meticulous, comfortable working in an agile environment, a team player, strong communicator, and is ready to hit the ground running at a fast-growing AI startup. How you will make an impact: - Work collaboratively with cross-functional teams to identify business and functional test scenarios. - Develop, maintain, and execute test plans and test cases to ensure that all software features and functionality are thoroughly tested. - Document test cases of new features or existing functionality where applicable. - Develop and execute automated front-end testing scripts using industry-standard tools and technologies. - Maintain and update automated test cases to ensure that they meet functional and non-functional requirements. - Prepare and modify test data where needed. - Identify, troubleshoot, record, and document software defects. - Provide timely and detailed feedback to developers, stakeholders and project managers on software quality issues, test results and product performance. Communicate issues and risks to project teams and stakeholders. - Continuously monitor and improve the automated testing process to ensure that it is efficient, effective and aligned with industry best practices. Skills needed to succeed: - 7+ years of professional experience within software engineering and quality assurance of products. - Professional experience within data testing. - Strong verbal and written communication skills, including the ability to write clear and concise bug reports and test cases. - Experience writing manual test cases. - Experience with automated front-end testing using tools such as Selenium, Cypress, or automation frameworks such as WebDriver IO or Protractor. - Professional experience within data testing. - Strong knowledge of web development technologies such as JavaScript and React. - Solid understanding of software testing principles and methodologies, including functional testing, integration testing and regression testing. - Ability to work independently to solve complex problems and coach others on testing best practices. - Excellent problem-solving, analytical and debugging skills. - Experience working with database tools (SQL/MySQL). Bonus points for: - Experience with Python. - Experience with Zephyr. - Experience with Saucelabs. 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: $130,000-150,000 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.

• Build your own book of business from the ground up with a strong pipeline of prospective customers through direct prospecting, relationships, and referrals. • Lead all aspects of the consultative sales process including new business development, client research, objection handling, demoing, closing, and follow up. • Draft statements of work and pricing proposals. • Master our value proposition today and as the competitive landscape evolves. • Hit, achieve, and exceed monthly and annual sales targets.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are searching for a hands-on consultative Sales Executive, Health to join our team and sell our SaaS underwriting and analytics solutions to the health insurance industry. This individual will understand the customer’s business objectives, the technical components of our solutions, and utilize a deliberate sales methodology in achieving sales objectives. The successful candidate will demonstrate enterprise software sales expertise, desire to hunt and build your own pipeline, and have experience selling into the health insurance space. They will come with their own strategies, approaches, and have very strong self-motivation. This is a fully remote opportunity. How you will make an impact: - Build your own book of business from the ground up with a strong pipeline of prospective customers through direct prospecting, relationships, and referrals. - Lead all aspects of the consultative sales process including new business development, client research, objection handling, demoing, closing, and follow up. - Draft statements of work and pricing proposals. - Master our value proposition today and as the competitive landscape evolves. - Hit, achieve, and exceed monthly and annual sales targets. Qualifications - 5+ years of proven sales experience with at least a few years of hitting or exceeding quota. - Solid track record building your own book of business; someone who loves to hunt! - Strong negotiation and presentation skills; experience running demos & ability to demonstrate ROI through the use of technology. - Prior experience selling into C-level executives; outstanding verbal and written communication skills. - Ability to work in a self-driven manner within a fast-paced, collaborative environment. - Strong preference for experience selling into the health insurance space (e.g. Health Insurers (Carriers)/Health Plans, particularly Underwriting and Actuarial). Benefits - 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. Salary Range Up to $150,000 base salary annually. On-Target Earnings (OTE): Up to $300,000, with a 50/50 base-to-variable commission structure. This role is also eligible for an 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 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.

• Engage directly with clients to provide advanced analytical support. • Lead pricing consultations for Group Health SAIL and Renewal products, helping clients interpret risk scores and model outputs. • Partner with internally with Client Services, Sales, Product, and Data Science to support our clients across new sales and renewals. • Analyze data using internal tools to evaluate pricing risk and provide recommendations. • Dive deep into AI-generated outputs to explain what model outputs and risk indicators mean in practical underwriting and pricing strategies. • Write and execute SQL and Python queries to analyze large datasets and evaluate submission performance. • Build and refine advanced Excel models to stress-test pricing assumptions and validate model results. • Clearly communicate complex mathematical and AI concepts to non-technical client stakeholders. • Help quantify ROI and performance improvements tied to our AI products.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We’re looking for a Health Data Consultant to partner closely with our clients and internally to drive adoption and value of Gradient AI’s services within our Group Health products. This is a client-facing, analytics-driven role focused on pricing consultations, AI model adoption, renewal analytics, and risk interpretation—helping clients translate model outputs into clear underwriting and pricing decisions. This role blends technical depth (math, analytics, coding) with consultative client engagement. It is ideal for someone who is highly quantitative, comfortable working directly with AI-driven model outputs, and excited to guide clients through data-driven pricing and underwriting decisions. This is a fully remote opportunity. - Engage directly with clients to provide advanced analytical support. - Lead pricing consultations for Group Health SAIL and Renewal products, helping clients interpret risk scores and model outputs. - Partner internally with Client Services, Sales, Product, and Data Science to support our clients across new sales and renewals. - Analyze data using internal tools to evaluate pricing risk and provide recommendations. - Dive deep into AI-generated outputs to explain what model outputs and risk indicators mean in practical underwriting and pricing strategies. - Write and execute SQL and Python queries to analyze large datasets and evaluate submission performance. - Build and refine advanced Excel models to stress-test pricing assumptions and validate model results. - Clearly communicate complex mathematical and AI concepts to non-technical client stakeholders. - Help quantify ROI and performance improvements tied to our AI products. Qualifications - 4+ years of experience in a healthcare analytics, population health, healthcare economics, or claims analysis role, with an actuarial perspective. - Strong quantitative background in Statistics, Mathematics, Economics, Analytics, or a related field. - Proficiency in Python and SQL required; advanced Excel skills required. - Ability to interpret complex statistical outputs and clearly communicate insights to non-technical stakeholders. - Analytical support for health insurance populations (e.g., renewal pricing, retention, trend management, or book-of-business optimization). - Comfortable engaging directly with clients in a consultative capacity and presenting analytical findings. - Proven experience building or refining pricing models, running data submissions, and validating model-driven results. - ASA/FSA is not required, but is a plus. - Exposure to modern data platforms such as Databricks is a plus. Benefits - 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. Salary Range $120,000-145,000 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.

• Design, build, and implement data systems to support ML and AI models for our health insurance clients, ensuring strict compliance with healthcare data privacy and security regulations (e.g., HIPAA). • Develop tools for extracting, processing, and profiling diverse healthcare data sources, including EHRs, medical claims, pharmacy data, and genomic data. • Collaborate with data scientists to transform large volumes of health-related and bioinformatics data into modeling-ready formats, prioritizing data quality, integrity, and reliability in healthcare applications. • Build and maintain infrastructure for the extraction, transformation, and loading (ETL) of data from a variety of sources using SQL, AWS, and healthcare-specific big data technologies and analytics platforms. • Ensure data pipelines meet the unique requirements of health, medical, and bioinformatics data processing, including translating complex medical and biological concepts into actionable data requirements.