At a Glance
- Tasks: Analyse user experiences and implement AI-driven solutions to enhance product flows.
- Company: Join a forward-thinking company focused on AI and UX optimisation.
- Benefits: Enjoy hybrid work, health benefits, generous PTO, and 401k matching.
- Other info: Great opportunity for rapid career growth and skill development in a supportive environment.
- Why this job: Make a real impact by solving user frustrations and improving products directly.
- Qualifications: 2+ years in business or product roles; familiarity with analytics tools is a plus.
The predicted salary is between 63000 - 77000 £ per year.
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.
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:
- Hybrid work arrangement
- Robust health, dental, and vision benefits for employee and dependents
- 401k matching contributions
- Generous PTO policy
- Stipend to purchase work-from-home equipment
- Environment to learn from other team members, grow a business from the ground up
- Support in developing your skills and accelerating your career quickly
A self-starter attitude — you don’t wait to be told what to look at or handed a fully scoped project. About 2+ years of business, analyst, operations, or product-adjacent work experience — a non-technical background is completely fine. Prior exposure to product analytics tools (e.g. session replay tools, funnel/behavioral analytics) or SQL. Experience with insurance, fintech, or another regulated/complex-product industry. Hands-on experience already using AI tools to build something — a workflow, an automation, a prototype — even informally.
Product Analyst (AI & UX Optimization) employer: Afficiency
At Afficiency, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our hybrid work model allows for flexibility while providing robust health benefits, generous PTO, and a supportive environment for professional growth. As a Product Analyst, you'll have the unique opportunity to take ownership of your projects, leveraging AI tools to drive real improvements in our products and user experiences, all while working alongside a talented team in the vibrant NY tri-state area.
StudySmarter Expert Advice🤫
We think this is how you could land Product Analyst (AI & UX Optimization)
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Afficiency!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Afficiency would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Afficiency through your school's career services!
We think you need these skills to ace Product Analyst (AI & UX Optimization)
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Product Analyst (AI & UX Optimization), let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Product Analyst (AI & UX Optimization) position at Afficiency. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Afficiency
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
