Staff AI Designer

Staff AI Designer

Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
Fin

At a Glance

  • Tasks: Shape AI behaviour and design user experiences that integrate seamlessly with real workflows.
  • Company: Join a fast-growing AI company transforming customer support for global businesses.
  • Benefits: Competitive salary, equity, flexible time off, and comprehensive health benefits.
  • Other info: Collaborative culture with opportunities for professional growth and innovation.
  • Why this job: Make a real impact in AI design and influence product direction in a dynamic environment.
  • Qualifications: Strong product judgement and experience in designing AI systems.

The predicted salary is between 70000 - 90000 £ per year.

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to e‑commerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set‑up and integration.

Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.

Role Overview

We’re looking for a Staff AI Product Designer to shape what our AI does, how it behaves, and how it fits into real user workflows. This role sits at the intersection of product, design, and machine learning—turning emerging capabilities into reliable, high‑quality user experiences. You’ll design systems: behaviors, decisions, orchestration, and end‑to‑end experiences powered by AI. This is not a traditional product design role. You’ll go beyond interface design to define how AI systems behave, operate, and deliver value in the real world.

What You’ll Do

  • Define AI capabilities (the “what and why”)
    • Identify and pattern match high‑value opportunities for AI across the product
    • Define what AI should do—and just as importantly, what it should not do, making hard or unpopular calls when needed
    • Set clear boundaries for autonomy vs human control
  • Design AI behavior, orchestration, and system logic
    • Architect AI‑driven workflows and agentic systems that operate across real‑world scenarios and over time, including multi‑step and agent‑to‑agent interactions
    • Establish decision frameworks: when systems should act, ask, elevate, or defer
    • Design for uncertainty, failures, and edge cases as core system behavior
    • Develop and apply design principles and heuristics to shape how AI systems behave and make decisions
    • Ensure systems remain coherent and predictable, even as complexity scales
  • Shape human + AI workflows and end‑to‑end experience
    • Design experiences for users who are increasingly managing AI systems and agents
    • Design how AI integrates into real user workflows, not just isolated interactions
    • Define the role of the human in the loop: where users guide, review, or override
    • Ensure users can understand, trust, and recover from system failures
    • Partner with product designers to continuously shape and adapt the product experience as underlying systems evolve
  • Define quality, evaluation, and reliability
    • Define what “good” looks like (e.g. trust, accuracy, effort reduction, and whether outputs are structured and usable in context)
    • Design evaluation scenarios and feedback loops
    • Analyse outputs to identify failure modes and system weaknesses
    • Design for reliability at the system level, preventing agentic breakdowns

How You’ll Work

  • Shape direction from the earliest stages of zero‑to‑one problems
  • Influence across teams without formal authority
  • Operate in a highly autonomous, fast‑moving environment with evolving constraints
  • Lead ambiguous, in‑flight work—making calls on when to adapt the product vs. push on system improvements as things evolve
  • Act as a bridge between AI research, technical capabilities, and user needs
  • Collaborate deeply with ML scientists, PMs, and product designers
  • Prototype and run focused experiments that isolate variables and generate clear insights
  • Stay close to system behaviour by regularly reviewing outputs and raising the bar on quality

What We’re Looking For

  • Strong product judgment—you consistently make high‑quality calls on what to build and why
  • Ability to influence without authority
  • Experience working on zero‑to‑one products and comfort operating through ambiguity and rapid change
  • Deep understanding of LLMs and their limitations, along with a grounding in traditional ML approaches and when to use them instead
  • Experience defining design principles, heuristics, or evaluation criteria for AI systems
  • High standards for quality, with a track record of identifying where AI systems break down in real‑world use
  • A scientific mindset—you can design experiments that isolate variables and produce meaningful insights
  • Systems thinker: you’re happier designing behaviours and flows than polishing interfaces
  • We’re open to non‑traditional backgrounds (e.g. product managers, engineers, or others) if you have strong product sense and a track record of representing user needs in technical systems

What This Role Is Not

  • You will not be training models or building ML infrastructure
  • You will not be responsible for backend architecture or performance optimisation
  • You will only occasionally design UI—this is not the focus of the role

Why This Role Is Compelling

You’ll join a mature AI discipline operating at the frontier. Fin already has an established AI Design team and strong cross‑functional understanding of this role, so you can focus on building rather than justifying your value. You won’t be “adding AI to a product.” The quality of our AI is the quality of our product. This is a technical, hands‑on role where you have the satisfaction of working with tight feedback loops. You’ll shape product direction, not just execution. You’ll operate upstream in a high‑autonomy environment with real ownership over outcomes.

Benefits

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!

  • Competitive salary and equity in a fast‑growing start‑up
  • We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
  • Regular compensation reviews - we reward great work!
  • Unlimited access to Claude Code and best‑in‑class AI tools; experimentation & building is encouraged & celebrated.
  • Pension scheme & match up to 4%
  • Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
  • Flexible paid time off policy
  • Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
  • If you’re cycling, we’ve got you covered on the Cycle‑to‑Work Scheme. With secure bike storage too
  • MacBooks are our standard, but we also offer Windows for certain roles when needed.

Policies

Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non‑work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

Staff AI Designer employer: Fin

Fin is an exceptional employer that fosters a dynamic and innovative work culture, where employees are empowered to shape the future of AI in customer service. With competitive salaries, comprehensive benefits, and a commitment to employee growth through regular compensation reviews and access to cutting-edge tools, Fin provides a supportive environment for creativity and collaboration. Located in a vibrant area, the company promotes a hybrid working policy that balances in-office teamwork with flexibility, ensuring a fulfilling and rewarding experience for all team members.

Fin

Contact Details:

Fin Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff AI Designer

Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect with current employees at Fin. A friendly chat can sometimes lead to opportunities that aren’t even advertised.

Tip Number 2

Show off your skills! Create a portfolio or a project that highlights your understanding of AI design principles. This will give you an edge and show that you’re not just about theory but can apply your knowledge practically.

Tip Number 3

Prepare for interviews by diving deep into Fin’s products and understanding their AI capabilities. Be ready to discuss how you would approach designing AI behaviours and workflows that align with their mission.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Fin team.

We think you need these skills to ace Staff AI Designer

Product Judgment
AI Behaviour Design
Systems Thinking
Machine Learning Understanding
Design Principles Definition
Evaluation Criteria Development
Experiment Design

Some tips for your application 🫡

Show Your Passion for AI:When writing your application, let your enthusiasm for AI design shine through! We want to see how you connect with our mission of delivering impeccable customer experiences using AI. Share any relevant projects or experiences that highlight your passion.

Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure to articulate your thoughts without unnecessary fluff. Highlight your key skills and experiences that align with the role of Staff AI Product Designer.

Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Staff AI Product Designer role. Mention how your background fits into the unique aspects of our company and the position.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Fin!

How to prepare for a job interview at Fin

Know Your AI Inside Out

Before the interview, dive deep into the specifics of AI capabilities and behaviours. Understand how AI can enhance customer experiences and be ready to discuss real-world applications. This will show your passion and expertise in shaping AI systems.

Showcase Your Systems Thinking

Be prepared to demonstrate your ability to think about workflows and user interactions holistically. Bring examples of how you've designed or influenced complex systems in the past, focusing on how they integrate human and AI elements seamlessly.

Prepare for Ambiguity

Since this role involves navigating through uncertainty, think of scenarios where you had to make tough decisions without clear guidelines. Share these experiences to highlight your comfort with ambiguity and your problem-solving skills.

Ask Insightful Questions

During the interview, engage with thoughtful questions about the company's AI strategies and future directions. This not only shows your interest but also helps you gauge if the company aligns with your vision for AI design.