Senior AI Product Manager – Fintech
Tymit
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇪🇸 Spain
Visit company websiteJob Level
Senior
About the role
- 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.
Requirements
- 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 (automated + human), and translate eval results into product improvements.
- Strong product judgment — ability to connect customer needs with business outcomes and make clear trade-offs on scope, ambition, and sequencing.
- Experience with customer discovery and user research — skilled at extracting insights and translating them into product decisions.
- Comfortable with ambiguity — you thrive in early-stage environments where direction isn't always clear.
- Excellent communication skills — ability to translate complex AI concepts for diverse stakeholders.
- Data-driven decision making — experience defining KPIs, using data and user behavior to validate assumptions, and iterating products through learning loops.
- You don’t need to have a background or experience as an ML engineer - but you are expected to be deeply curious and hands-on with AI systems, learning continuously through experimentation and collaboration with engineering.
- Nice to have: Previous experience in fintech, payments, or credit products.
- Founder/builder experience in early-stage start-ups.
- Hands-on familiarity with AI evaluation tools (LangFuse, LangSmith, or similar).
- Technical background or ability to prototype with AI tools and no-code platforms.
- Experience working with cross-functional AI/ML teams.
Benefits
- 26 days of paid holiday plus bank holidays.
- Your birthday off.
- Private health insurance.
- Budget for home office set up.
- Monthly home working allowance.
- Flexible working hours.
- Referral program.
- EUR 1,000 annual learning and development budget.
- Length of service recognition program.
- Quarterly touchpoints to get together with the teams!
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
product managementAI-powered productsMVP scopingAI evaluationquality assurancedata-driven decision makingcustomer discoveryuser researchKPI definitionprototyping with AI tools
Soft skills
strong product judgmentexcellent communication skillscomfortable with ambiguitycollaborationleadershipinsight extractionstakeholder alignmentproblem definitiondecision makingcuriosity