Product Analyst, AI & UX Optimization

About Afficiency

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.

About the Role

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.

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.

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.

Preferred Qualifications

• 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.

Benefits

• Robust health, dental, and vision benefits
• 401(k) with matching
• Stipend for WFH setup
• Hybrid work environment
• The chance to build something meaningful with a supportive, collaborative team

Pay

$70,000–$105,000 base salary, commensurate with experience.

This role is based in New York, NY on a hybrid schedule.