Job Overview
Location
Remote
Job Type
Full-time
Category
Data Science
Date Posted
July 4, 2026
Full Job Description
đź“‹ Description
- • Define and implement metrics and evaluation frameworks to measure the success of AI-powered and agent-driven product experiences across the claims platform.
- • Design, execute, and analyze controlled experiments to determine which product changes drive meaningful customer value and inform roadmap priorities.
- • Build and maintain dashboards and reporting systems that track feature adoption, product performance, and customer friction points for Product and Engineering leadership.
- • Identify behavioral patterns and cohort-based signals that distinguish highly engaged customers from those at risk of churn, enabling proactive intervention strategies.
- • Analyze user behavior data, usage cohorts, and product interactions to uncover friction points in the customer journey and recommend UX or functional improvements.
- • Partner with Product Managers, Engineers, and Designers to translate ambiguous business questions into testable hypotheses and data-driven recommendations.
- • Improve product instrumentation by identifying gaps in data collection and collaborating with engineering teams to ensure critical events are properly tracked.
- • Communicate analytical insights clearly to both technical and non-technical stakeholders, translating complex findings into actionable product decisions.
- • Proactively identify key questions the team isn’t measuring today and propose new metrics or data collection methods to fill critical knowledge gaps.
- • Use SQL as a core tool to query and analyze product data, extracting patterns and trends that influence product strategy and prioritization.
- • Adapt quickly to evolving analytics tools and AI-assisted workflows, including platforms like Mixpanel, Deepnote, AWS, Python, R, and AI coding assistants such as Cursor and Claude Code.
- • Bring data into product discussions early to shape roadmaps before decisions are finalized, ensuring decisions are grounded in evidence rather than intuition.
- • Develop a shared understanding of product health across teams through consistent, reliable reporting on adoption, retention, and customer outcomes.
- • Help define what success looks like for AI-first product features by creating novel evaluation criteria beyond traditional KPIs.
- • Use cohort analysis, segmentation, and behavioral data to reveal nuanced customer needs and uncover opportunities for product innovation.
- • Start with open-ended questions rather than predefined reports, and determine the necessary data, analysis, or instrumentation required to answer them.
🎯 Requirements
- • Proven experience using SQL to analyze product data and extract actionable insights
- • Demonstrated ability to design and interpret experiments to evaluate product changes and measure impact
- • Strong communication skills to translate complex analytical findings for technical and non-technical audiences
- • Experience working in product environments where data drives decision-making and roadmap prioritization
- • Comfort with ambiguity and ability to define metrics and measurement frameworks for uncharted product areas
- • Familiarity with modern analytics platforms such as Mixpanel, Deepnote, AWS, Python, or R
🏖️ Benefits
- • Competitive salary and equity packages
- • Platinum medical, dental, and vision coverage
- • Free life insurance including long-term disability and short-term disability
- • Unlimited PTO with paid holidays
- • Maternity and paternity leave
- • Company contribution of 3% to 401(k) regardless of employee contribution
- • Weekly lunches and monthly phone stipend for remote workers
- • Health FSAs and HSAs for pre-tax medical expenses
- • Regular team events and in-person offsites
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Assured Allies Inc.
Assured Allies provides a technology platform that predicts and helps prevent age-related disability for insurance carriers and their policyholders. The company uses data science and behavioral science to identify individuals most at risk of future functional decline, then delivers personalized interventions aimed at extending independence and reducing long-term care claims. Its flagship products, AgeAssured and FutureProof, integrate with insurers to offer policyholders coaching, assessments, and support services designed to improve health outcomes while lowering costs for carriers and families.
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