Assured Logo

Assured

Senior Product Analyst

Posted 2 Months Ago
Remote
Hiring Remotely in USA
155K-175K Annually
Senior level
Remote
Hiring Remotely in USA
155K-175K Annually
Senior level
Analyze product data to guide roadmap decisions, evaluate AI-powered capabilities, design experiments, build dashboards, and identify customer behavior patterns. Partner with Product, Engineering, and Design to define metrics, improve instrumentation, uncover friction points, and communicate insights that improve product outcomes and customer success.
The summary above was generated by AI

Assured is on a mission to modernize insurance. Claims processing (i.e. should we pay this claim?), while often overlooked, is the foundation of the entire industry. It’s currently highly manual, involving phone calls, faxes, and gut instinct, costing tens of billions of dollars a year. We can do better.

At Assured, we provide large insurers with the software solutions they need to win in a modern, technology-driven world. From self-service claim-filing software to backend fraud detection, we’re the engine that powers claims processing for some of the largest insurers in the world.

The challenges we face are deep and diverse, from creating digital experiences that provide comfort and clarity to claimants at their most stressed and vulnerable to orchestrating large-scale ML-driven decision-making on billions of dollars of claims payments, life at Assured is dynamic, collaborative, and rewarding.

As a Senior Product Analyst, you'll turn product data into insights that define how we measure and evaluate our expanding AI and agent-powered capabilities — telling Product and Engineering not just what happened, but what to do next.

Some of the problems you’ll solve:

🤖 How do we measure the success of AI-powered experiences? Help define the metrics and evaluation frameworks that tell us whether our agentic capabilities are delivering meaningful value to customers.

🧪 Which product changes actually create value for our customers? Design and analyze experiments that help Product teams separate signal from noise and make confident roadmap decisions.

📊 How do we know if our products are healthy? Build the dashboards and reporting Product and Engineering leaders rely on to understand feature adoption, product performance, and where customers get stuck.

📈 Which customer behaviors predict long-term success? Identify the signals that separate highly engaged customers from those at risk of dropping off, and help teams act on those insights.

🔍 Where are users struggling and what should we do about it? Analyze behavioral data, cohorts, and usage patterns to uncover friction points, identify opportunities, and help shape a better customer experience.

🤝 What should we build next? Partner with Product Managers and Engineers to answer high-impact business questions, evaluate tradeoffs, and use data to guide investment decisions.

🎯 What should we measure that we aren't measuring today? Partner with Product and Engineering to improve instrumentation, define meaningful metrics, and ensure we're capturing the data needed to make better decisions.

How you'll make an impact:

📊 Create confidence in product decisions by designing, analyzing, and communicating experiments that help teams understand what works and what doesn't.

📈 Turn product data into strategic direction by identifying trends, customer behaviors, and opportunities that influence roadmap priorities.

📉 Build a shared understanding of product health through dashboards and reporting that give Product and Engineering teams visibility into adoption, performance, and customer outcomes.

🤖 Help define how we measure success in an AI-first product by developing the metrics and evaluation frameworks that shape our agent-powered capabilities.

🤝 Bring data into the room early. Partner with Product Managers, Engineers, and Designers to frame problems, evaluate tradeoffs, and make better decisions before roadmaps are finalized.

🎯 Reveal what different customers need by using cohort analysis, segmentation, and behavioral data to uncover meaningful patterns and opportunities for improvement.

🧩 Bring clarity to ambiguity. Start with questions – not predefined reports – and determine what needs to be measured, analyzed, or built to help teams move forward with confidence.

You'll probably thrive here if you:

🧩 Use data to drive decisions. You have a track record of answering complex product questions, designing meaningful analyses or experiments, and influencing what gets built next.

📊 Have strong analytical fundamentals. SQL is a core part of your toolkit, and you're comfortable working with product data to uncover meaningful patterns and insights.

💬 Communicate with clarity. You can explain analytical findings to both technical and non-technical audiences and help teams make informed decisions.

🤝 Enjoy solving ambiguous problems. You're comfortable starting with a question—not a predefined dataset—and figuring out what needs to be measured, analyzed, or built to find the answer.

🤖 Learn tools quickly instead of defining yourself by them. We use AI throughout our workflows and regularly experiment with tools like Cursor, Claude Code, Codex, and others. We care far more about your ability to adapt than whether you've used our exact stack before.

🛠 Bring experience with modern analytics platforms. Familiarity with tools like Mixpanel, Deepnote, AWS, Python, R, or application instrumentation is a plus, but not a requirement. Great analysts learn new tools. Great thinking is harder.

Benefits:

🤑 Competitive Compensation: Competitive salary and equity packages for all employees

🏥 Healthcare Plan: Platinum medical, dental, and vision

🛡️ Free life insurance: Including long-term disability & short-term disability

🏄 Unlimited PTO: Uncapped vacation days & paid holidays

👶 Family Leave: Maternity & paternity

📈 401(k) Contribution: Assured contributes 3% of your income, even if you don't contribute

🏠 WFH Benefits: Lunch on us 2x/week, monthly phone stipend & other home office perks

👪 Health FSAs & HSAs: Pre-tax accounts for out-of-pocket medical expenses

🤝 Team events & Offsites: We're remote, but we regularly get together

**We have been made aware of individuals falsely posing as recruiters from Assured Insurance Technologies Inc. Please note that we only contact candidates from official @assured.claims email addresses and all interviews are conducted through verified company channels. If you are unsure whether a message is legitimate, please contact us directly at [email protected] before sharing any personal information**

Our Commitment:
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodation.

Similar Jobs

6 Hours Ago
In-Office or Remote
80K-108K Annually
Senior level
80K-108K Annually
Senior level
Manufacturing
Maintains and enhances product configurators using product and pricing data. Responsibilities include launching and discontinuing products, updating distributor offerings and pricing, testing system releases, protecting data integrity, identifying cross-system risks, documenting standards, supporting AI-assisted validation, leading configuration initiatives, improving processes, and coaching team members.
Top Skills: Artificial IntelligenceExcelMicrosoft PowerpointMicrosoft WordProduct Configuration Software
7 Days Ago
Remote or Hybrid
United States
49K-83K Annually
Senior level
49K-83K Annually
Senior level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Monitors and reconciles data integrations between the Catalyst Claims Platform, HRIS/HCM systems, and customer Workday environments. Identifies and resolves data discrepancies, integration errors, and file-feed issues using Excel, EIB processing, and system updates. Partners with customers and internal teams, supports HRIS implementations, prepares operational reporting, uses AI tools for analysis and validation, and mentors new analysts. Requires disability or leave claims experience, HRIS integration knowledge, advanced Excel skills, troubleshooting, communication, and collaboration.
Top Skills: Catalyst Claims PlatformClaude AiData FeedsEibHcm PlatformsHrisHris ApisMicrosoft CopilotExcelWorkday
5 Days Ago
Remote or Hybrid
144K-210K Annually
Senior level
144K-210K Annually
Senior level
Consumer Web • eCommerce • Information Technology • Insurance • Mobile
Partner with Product and cross-functional teams to shape strategy through product analytics, experimentation, KPI frameworks, and actionable insights. Analyze customer behavior, funnels, retention, conversion, monetization, and product performance. Build scalable SQL and dbt data models, dashboards, and self-service analytics; design and evaluate A/B tests; investigate root causes; and connect product decisions to revenue and business outcomes.
Top Skills: A/B TestingAi ToolsBusiness Intelligence PlatformsData ModelingDbtProduct Analytics PlatformsPythonSQLStatistical Analysis

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account