MeridianLink
Senior Product Manager - AI Platform (FinTech)
US Remote · Senior
Sponsorship not specifiedDetected 61 days ago
Vector DatabasesRESTKafkaMachine LearningData EngineeringData ScienceLLMsUX ResearchProduct ManagementProduct StrategyAgilePRDsResearchLeadershipCommunicationCollaborationProblem SolvingUnderwriting
About the role
- You have hands-on familiarity with how production of AI systems are built and operated.
- You can hold a meaningful technical conversation with an ML engineer about inference latency and embedding strategies - and translate those tradeoffs into crisp product decisions.
- You have shipped platform capabilities, not just features, and you understand the difference: versioned APIs, backward compatibility, SLA contracts, and developer experience are as important to you as end-user outcomes.
Responsibilities
- Own the end-to-end product strategy and roadmap for the AI platform layer.
- Partner with principal engineers and ML infrastructure leads to make informed build-vs-buy-vs-partner decisions on foundational AI capabilities
- Define and own the developer experience for consuming the AI platform: API contracts, SDK design, documentation standards, sandbox environments, and onboarding flows.
- Build feedback loops with consuming teams post-release to detect friction, integration failures, and unmet capability needs early.
Requirements
- 5+ years' experience in product management, with proven success designing enterprise AI/ML products in a SaaS B2B environment.
- At least 3 years in a platform, infrastructure, or developer tools
- Experience conducting customer/user research, usability testing, and translating insights into product strategy.
- Proficiency with AI-driven prototyping methods.
- Product Management
- Experience conducting customer/user research, usability testing, and translating insights into product strategy. Proficiency with AI-driven prototyping methods.
- Strong organizational and multi‑tasking abilities, capable of managing multiple projects, priorities, and communication channels in a fast‑paced environment
- Mastery of agile methodologies, processes, artifacts. Understanding exposure to emerging DevAI practices.
- Strong problem-solving skills
- Effective storytelling and presentation abilities
- Excellent collaboration skills within and across teams
- Ability to give and receive constructive design feedback
- Awareness of industry trends, emerging technologies, and best practices in AI product design
- AI & Platform Experience
Nice to have
- Strong written communication skills for technical audiences.
- Bachelor's degree required
- Consumer or mortgage lending software experience is a plus
- experience in vertical SaaS required.
Benefits
- Build platform health dashboards and escalation playbooks for AI service degradation-distinct from application-layer monitoring.
- Partner with executive leadership to align AI initiatives with company-wide product vision and revenue goals.
- Build business cases justifying R&D investment based on expected benefits.
Company info
- Stay updated with the latest trends and advancements in AI and ML, to identify opportunities for innovation and incorporate relevant insights into product strategy and development.
- Treat internal R&D teams as your primary customers. Conduct structured discovery with feature teams to understand their AI integration pain points, latency requirements, and data access needs.
- Developer Experience and Internal Platform Customers
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