Product Analyst, AI & UX Optimization

AfficiencyNew York, NY
$70,000 - $105,000Hybrid

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 flows to identify areas of friction and confusion, and then using AI tools to prototype and implement fixes. The goal is to drive measurable improvements in user experience and product performance. This is a hybrid analyst/builder role where you will act as a detective, digging into user data and session recordings to find problems, and then taking ownership to fix them using AI tools. Success in this role means a track record of identifying, scoping, and completing improvements.

Requirements

  • Candidates not currently living in the NY tri-state area will not be considered
  • 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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