Product Analyst, AI & UX Optimization

Afficiency•New York, NY

14h•$80,000 - $105,000•Hybrid

About The Position

Afficiency builds the technology that powers modern life insurance — from the moment someone starts an application to the moment they get approved. Every product we ship has dozens of small UX and workflow decisions baked into it, and most of them were made under deadline pressure, not with the benefit of hindsight. We're hiring someone whose job is to go find those moments, figure out what's actually broken or clunky, and then use AI tools to go fix it — not just write it up and hand it off. Afficiency is an insurtech company building the digital infrastructure behind term life insurance — application journeys, underwriting automation, and the agent and consumer-facing tools that make buying life insurance faster and less painful. Our products span multiple carriers and channels, which means a lot of surface area, a lot of user journeys, and a lot of opportunity for a sharp, hands-on operator to make things measurably better. This is a hybrid analyst/builder role. You'll spend part of your time in our products and UX flows like a detective — reading session recordings, walking through application journeys yourself, digging into support tickets and drop-off points — to find where users get confused, stuck, or frustrated. Then, instead of stopping at a slide deck of recommendations, you'll use AI tools (Claude and others) to prototype and ship the fix yourself, or work directly with the team that can. A year in, success looks like a track record of real, shipped improvements you identified, scoped, and drove to completion — not a backlog of tickets someone else implemented.

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.