Product Analyst, AI & UX Optimization
About The Position
Afficiency is seeking a Product Analyst, AI & UX Optimization to join their rapidly growing Insurtech company. This role involves analyzing product and UX/UI journeys to identify friction points, using AI tools to prototype and implement fixes, and collaborating with stakeholders to ship improvements. The ideal candidate will have a strong analytical mind, common sense, a self-starter attitude, and a genuine instinct for ownership and problem-solving. Experience with AI tools is essential, and prior experience in insurance, fintech, or with product analytics tools is a plus.
Requirements
- About 2+ years of business, analyst, operations, or product-adjacent work experience — a non-technical background is completely fine.
- A genuinely analytical mind: you notice when something doesn't add up, and you dig until you understand why.
- Strong common sense and business judgment about how a product or process should work, and an eye for where it doesn't.
- A self-starter attitude — you don't wait to be told what to look at or handed a fully scoped project.
- Real ownership instinct: when you find a problem, your instinct is "let me go fix this," not "let me go tell someone."
- Comfort learning and using AI tools (like Claude) as a working tool to move faster on analysis and execution — no coding background required, just curiosity and a willingness to figure it out.
- Clear written and verbal communication — you can explain what's broken and why it matters to both technical and non-technical people.
Nice To Haves
- Experience with insurance, fintech, or another regulated/complex-product industry.
- Prior exposure to product analytics tools (e.g. session replay tools, funnel/behavioral analytics) or SQL.
- Hands-on experience already using AI tools to build something — a workflow, an automation, a prototype — even informally.
Responsibilities
- Own the ongoing review of Afficiency's product and UX/UI journeys — application flows, agent tools, and consumer-facing experiences — to identify friction, confusion, and drop-off points.
- Dig into real usage data: session recordings, support tickets, underwriting outcomes, and conversion funnels, to find where the product isn't working the way it should.
- Turn findings into concrete, prioritized recommendations grounded in business impact, not just "this feels off."
- Use AI tools such as Claude to prototype, build, or directly implement fixes — copy changes, flow adjustments, small tooling, automation, or reports — rather than only handing off findings.
- Partner with product, engineering, and underwriting stakeholders to scope and ship changes, escalating and collaborating when something needs deeper technical work.
- Build a repeatable habit of measuring whether a change actually worked, and iterating when it didn't.
- Bring plain business judgment to the table: does this make sense, would a real customer understand this, is this worth fixing now or later.
Benefits
- Robust health, dental, and vision benefits
- 401(k) with matching
- Company-paid WFH setup
- Hybrid work environment
- The chance to build something meaningful with a supportive, collaborative team
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
