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Tymit · 2 weeks ago

Senior AI Product Manager - Fintech - Remote in Spain

United States

Full-time

Remote

Senior Level

5+ years exp

Tymit is a company on a mission to revolutionize credit, and they are seeking a Senior AI Product Manager to lead the discovery, definition, and delivery of AI-powered products. This role involves managing the product lifecycle, collaborating with engineering teams, and ensuring that the products created deliver real value to customers and the business.

CreditCredit CardsFinancial ServicesPaymentsPersonal Finance

Comp. & Benefits

Responsibilities

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

Qualification

AI Product ManagementCustomer DiscoveryAI EvaluationData-Driven Decision MakingFintech ExperienceProduct StrategyTechnical PrototypingProblem StructuringCommunicationCollaboration SkillsAdaptability

Required

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