At a Glance
- Tasks: Shape AI behaviour and design workflows for real-world applications.
- Company: Join a fast-growing AI company transforming customer experiences.
- Benefits: Competitive salary, equity, flexible time off, and comprehensive health insurance.
- Other info: Collaborative culture with opportunities for personal and professional growth.
- Why this job: Make a real impact in AI design and influence product direction.
- Qualifications: Strong product judgement and experience with AI systems required.
The predicted salary is between 80000 - 100000 € 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 ecommerce. 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 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—similar to emerging “AI Model Designer” roles, but more deeply embedded in product.
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, escalate, 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
- You will influence all of these—but your primary responsibility is defining what should be built, how it should behave, and how it performs in the real world.
Why This Role Is Compelling
You’ll join a mature AI discipline operating at the frontier. Intercom 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 in London 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 support. 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.
StudySmarter Expert Advice🤫
We think this is how you could land Staff AI Designer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best work, especially projects related to AI design. This is your chance to demonstrate what you can bring to the table, so make it shine!
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI product design. Think about how you would approach defining AI capabilities and shaping user workflows—this will help you stand out!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our mission at Fin.
We think you need these skills to ace Staff AI Designer in London
Some tips for your application 🫡
Be Authentic:When you're writing your application, let your personality shine through! We want to get to know the real you, so don’t be afraid to share your unique experiences and perspectives.
Tailor Your Application:Make sure to customise your application for the Staff AI Designer role. Highlight your relevant skills and experiences that align with what we’re looking for, especially around AI behaviour and user workflows.
Showcase Your Problem-Solving Skills:We love candidates who can think critically and solve problems creatively. Use examples from your past work to demonstrate how you've tackled challenges, especially in ambiguous situations.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Fin
✨Understand the AI Landscape
Before your interview, dive deep into the world of AI, especially focusing on large language models (LLMs) and their limitations. Familiarise yourself with how these technologies can be applied in real-world scenarios, as this knowledge will help you articulate your understanding of AI capabilities during the discussion.
✨Showcase Your Product Judgment
Be prepared to discuss your past experiences where you've made critical decisions about product design. Highlight specific examples where you identified high-value opportunities for AI and how you defined what the AI should and shouldn't do. This will demonstrate your strong product judgment and ability to influence without authority.
✨Emphasise Collaboration Skills
Since this role involves working closely with ML scientists, product managers, and designers, be ready to share examples of how you've successfully collaborated across teams in the past. Discuss how you’ve acted as a bridge between technical capabilities and user needs, showcasing your ability to navigate ambiguity and drive results.
✨Prepare for Scenario-Based Questions
Expect questions that require you to think critically about AI behaviour and system logic. Prepare to discuss how you would design workflows that integrate AI into user experiences, including how to handle failures and edge cases. This will show your systems thinking and readiness to tackle complex design challenges.