Senior AI Product Manager - Fintech - Remote in Spain
Senior AI Product Manager - Fintech - Remote in Spain
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About TymitAt Tymit, we were born on a mission to revolutionize credit—making it smarter, more flexible, and always in the best interest of the customer.
We are embarking on a new phase to redefine payments and shopping experiences—giving more to the customer. By bringing together financing, loyalty, and personalization driven by AI, we’re creating a smarter and more rewarding way to shop. Fully funded by Frasers Group, one of the largest retail groups in the UK, we aspire to become a leading payment and shopping product in the UK market.
We’ve recently launched AI Ventures—an internal innovation unit focused on exploring, validating, and scaling new opportunities powered by AI. It’s a space where product thinking meets experimentation, and where learning fast matters more than being perfect.
We believe credit should work for people, not against them. Our technology is redefining how people shop, pay, and manage their spending. With teams across the UK and Spain, we foster a culture of innovation, collaboration, and a customer‑first mindset. As we scale, we will partner with the UK’s most prominent retail brands to deliver the most seamless and rewarding shopping experiences.
Please note:
this role is remote but must be based in Spain
.
- 26 days of paid holiday plus bank holidays.
- Your birthday off.
- Private health insurance.
- Budget for home office set up.
- Monthly home working allowance.
- Tymit is working fully remote but we have offices in Madrid and London if your preference is to work from an office with other Tymiteers.
- Referral program.
- EUR 1,000 annual learning and development budget.
- Length of service recognition program.
- Quarterly touchpoints to get together with the teams!
As a Senior AI Product Manager
, you will lead the discovery, definition, and delivery of AI‑powered products that create real value for our customers and business. You'll own the end‑to‑end product lifecycle—from identifying opportunities and defining strategy, to working with engineering and data teams to bring solutions to market.
This is a strategic and hands‑on role. You'll operate in ambiguity, structure complex problems, run customer discovery, make prioritization calls, and drive products from 0 to 1. You'll be working at the intersection of AI capabilities and real customer needs, ensuring every initiative is grounded in learning and measurable outcomes.
What You’ll Do- Own product strategy: Define the vision, roadmap, and success metrics for AI‑powered products aligned with Tymit’s strategic goals.
- Crack ambiguous problems: Turn fuzzy, complex ideas into clear product structures.
- Lead customer discovery: Run structured customer conversations to validate value propositions, turn insights into testable hypotheses, and converge on sharp ICPs and MVP definitions.
- Evaluate opportunities: Quickly assess new ideas for user value, strategic fit, and effort vs. learning. Compare opportunities and make clear calls on what to pursue now, later, or never.
- Collaborate with AI Engineering: Work closely with AI engineers to design solutions that balance ambition with technical feasibility. Understand AI/ML capabilities and constraints: hands‑on exploration of model behaviour, prompts, and system limitations.
- Drive execution: Manage the product lifecycle from discovery through delivery. Define requirements, prioritize features, and ensure timely releases with high quality standards.
- Communicate and align stakeholders: Share insights, decisions, and progress clearly across the organization. Build alignment around product direction and secure buy‑in from leadership.
- 5+ years in Product Management— with direct ownership of 0→1 product initiatives, including problem definition, MVP scoping, and early validation in ambiguous environments.
- Hands‑on experience building AI‑powered products
—understanding of LLMs, agents, RAG pipelines, or similar technologies. - Experience with AI evaluation and quality assurance
—ability to define success metrics for AI features, design eval frameworks…
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