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- Tasks: Lead the development of innovative AI products that enhance customer experiences and internal processes.
- Company: Join Chip, a fast-growing company on a mission to revolutionise financial services.
- Benefits: Competitive salary, performance bonuses, private medical insurance, and flexible working arrangements.
- Other info: Join a fun team that values diversity and encourages personal interests outside of work.
- Why this job: Be at the forefront of AI innovation and make a real impact in a dynamic environment.
- Qualifications: 3+ years in Product Management with experience in AI/ML-powered products.
The predicted salary is between 60000 - 70000 £ per year.
At Chip, we are building several customer-facing and internal AI-native products to help us deliver innovative and personalised experiences to our customers and improve internal processes and ways of working. This includes our Wealth Agent and Customer Support Agent to deliver financial guidance and support at scale.
We are looking for an AI Product Manager to help us deliver on this ambition. You will work closely with Product and Engineering leadership to shape and execute our AI roadmap. You will be a key driver behind it, contributing to direction, challenging assumptions and leading the delivery of AI-powered features from concept through to production. This is a hands-on product role. You will need to operate confidently across discovery, model evaluation, technical architecture discussions, governance and live performance optimisation.
What you can expect to be doing:
- Contributing to AI Strategy
- Partner with Leadership to understand, refine and evolve how AI can be used to improve customer experience and internal processes and ways of working.
- Translate strategic intent into clear product initiatives and deliverable roadmaps.
- Identify new opportunities where agentic systems can drive meaningful customer and commercial value.
- Delivery of AI Products
- Lead new AI features from discovery through beta, controlled rollout and full production release.
- Define success metrics for AI systems (accuracy, hallucination thresholds, customer impact, compliance, performance).
- Work closely with engineering to ship robust, scalable AI solutions into production.
- Partner with Risk & Compliance on assessments, documentation and approval processes.
- Ensure AI systems meet appropriate standards for fairness, accuracy and explainability.
- Establish structured go/no-go criteria, including risk and governance requirements.
- Own post-launch monitoring, performance tracking and iteration.
You should have clear examples of AI or ML features you have helped ship into production, not just experimentation with PoCs.
Agentic Systems & LLM Applications
- Help design agent-based systems (LLMs, orchestration layers, tool use, retrieval systems, routing logic).
- Define conversation flows, guardrails, human-in-the-loop processes and escalation pathways.
- Partner with engineering on architectural decisions, including:
- Prompting approaches
- RAG implementations
- Agent orchestration
- Monitoring and logging frameworks
You will work closely with Data to define how we can evolve and improve data efficiency across the business, looking to improve data models, access and tooling using AI. You don’t need to build models yourself, but you must be technically credible and comfortable operating at this level of detail.
What we’re looking for:
- 3+ years in Product Management.
- Meaningful experience working on AI/ML-powered products.
- Experience shipping AI features into live customer environments.
- Experience working closely with engineers and data teams on technically complex initiatives.
Technical Capabilities
- Strong understanding of:
- LLMs and generative AI fundamentals
- Model evaluation and performance monitoring
- Data pipelines and APIs
- Core AI risks (hallucination, bias, drift)
Able to confidently discuss architecture and trade-offs with engineers.
Product Craft
- Strong discovery and problem-framing skills.
- Comfortable working in zero-to-one environments.
- Able to break complex initiatives down into deliverable and testable slices.
- Clear prioritisation in ambiguous environments.
Personal Attributes
- Strong critical thinker who challenges assumptions constructively.
- Self-starter with high ownership and follow-through.
- Excellent communicator across technical and non-technical stakeholders.
- Comfortable operating with autonomy while aligning closely with senior leadership.
What we’re really looking for:
Someone with a genuine interest in Chip and is excited about being part of a fast-growing company and our mission to build the investment super app of the future. Although we’re in the financial space, and under the scrutiny that comes with it, the current product team works well together, and even sometimes with a smile. We’re sure you’ve got the technical skills, otherwise, you would have stopped reading by now, so let us be clear on what will make us want to work with you. We want a real person, with interests outside of work, to join our team. You could be a dancer, a gamer, a musician, a parent, a hockey fan, or even that one person that still writes Twilight fan-fiction. Doesn’t matter to us. At the interview stages, we will be looking for empathy, eq, fun stories, and the ability to smile even when things are tough.
Working Hours
Monday to Thursday: 9:00 AM – 6:00 PM
Friday: 8:00 AM – 4:00 PM (Start your weekend early!)
PERKS
- £60,000 - £70,000 per annum
- Discretionary Performance-Related Bi-Annual Bonus of up to 10% (Cash) and 5% (Shares) based on your gross annual salary.
- Workplace pension scheme - We invest in your future with a workplace pension scheme, contributing 5% on earnings up to £50,000.
- Private medical insurance (medical history disregarded)
- Employee Assistance Programme
- Cycle to work scheme
- Season ticket loan
- Free ChipX subscription for UK-based employees
We are an equal-opportunity employer and value diversity.
Flexible working arrangements.
28 days holiday plus.
AI Product Manager in London employer: Chip
Contact Detail:
Chip Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Manager in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Chip. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Prepare for the interview by understanding Chip's products and AI strategy. Show us you’re not just a fit on paper but genuinely excited about what we do!
✨Tip Number 3
Practice your storytelling skills. We love hearing about your past experiences, especially how you've tackled challenges in AI product management.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace AI Product Manager in London
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and its potential shine through. We want to see that you’re genuinely excited about the role and how you can contribute to our mission at Chip.
Be Specific About Your Experience: Don’t just list your past roles; give us clear examples of AI or ML features you've shipped into production. We love details, so tell us about the challenges you faced and how you overcame them!
Tailor Your Application: Make sure your application speaks directly to the job description. Highlight your experience with product management and AI, and connect it to how you can help us deliver innovative products at Chip.
Keep It Professional Yet Personal: While we appreciate professionalism, we also want to know the real you! Share a bit about your interests outside of work. Whether you’re into gaming, dancing, or writing, let us see your personality in your application.
How to prepare for a job interview at Chip
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and ML fundamentals, especially around LLMs and generative AI. Be ready to discuss specific features you've shipped into production and how they impacted customer experience.
✨Show Your Problem-Solving Skills
Prepare examples that showcase your discovery and problem-framing skills. Think about how you've broken down complex initiatives into manageable tasks and how you prioritised in ambiguous situations.
✨Communicate Like a Pro
Practice explaining technical concepts in a way that non-technical stakeholders can understand. You’ll need to demonstrate your ability to communicate effectively across different teams, so think of stories that highlight your communication skills.
✨Be Yourself!
Chip is looking for genuine people, so don’t be afraid to share your interests outside of work. Whether you're into gaming, dancing, or even writing fan-fiction, let your personality shine through. They want to see the real you!