Company
SaaS
SeniorProductManager-AIPlatform
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“Senior Product Manager - AI Platform. Skills: AI Platform Product Management, Developer Experience, AI Governance, Platform Health. Own AI product strategy and roadmap. Align AI initiatives with company vision”
What You'll Achieve.
Align AI initiatives with company-wide product vision and revenue goals; Ensure alignment of platform metrics with AI-based application metrics
Industry & Context.
problem-solving skills; Translate tradeoffs into crisp product decisions
What They're Looking For.
Must Have
5+ years’ experience in product management, At least 3 years in a platform, infrastructure, or developer tools PM role, Experience conducting customer/user research, usability testing, and translating insights into product strategy, Proficiency with AI-driven prototyping methods, organizational and multi‑tasking abilities, Mastery of agile methodologies, processes, artifacts, Understanding exposure to emerging DevAI practices, 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, Demonstrated track record of taking AI features from concept to production, Experience with AI/ML concepts, LLMs, MCPs, GenAI platforms, API integration, Familiarity with responsible AI principles, model interpretability, bias mitigation, and quality/accuracy metrics required for production grade AI systems, Experience collaborating with Data Science and Engineering teams to define training data needs, evaluate model performance, and implement iterative feedback loops, Proven track record shipping AI or ML capabilities into production, Sufficient technical depth to participate in architecture discussions with Engineering, Hands-on familiarity with at least one modern AI/ML stack, vector databases, and model serving infrastructure, Experience defining API contracts and SDK developer experiences, Comfort working with data engineering concepts, written communication skills for technical audiences, Computer science background (education or other demonstrated proficiency) required, Consumer or mortgage lending software experience is a experience in vertical SaaS required
Nice to Have
MBA preferred
What You'll Do.
Own AI product strategy and roadmap
Align AI initiatives with company vision
Build business cases for R&D investment
Make build-vs-buy decisions
Establish platform-level standards
Stay updated on AI/ML trends
Treat internal R&D teams as customers
Conduct discovery with feature teams
Define and own developer experience
Establish platform roadmap governance
Build feedback loops with consuming teams
Establish monitoring and observability standards
Translate regulatory requirements into platform requirements
Define data residency
PII handling policies
Maintain AI feature capability matrix
Define and own platform-level SLOs
Build platform health dashboards
Track platform adoption metrics
Hold regular platform reviews
Align platform metrics with AI application metrics
How You'll Work.
Team & Collaboration
Partner with executive leadership; Partner with principal engineers and ML infrastructure leads; Conduct structured discovery with feature teams; Partner with information security; Collaborate with application Product Managers
Communication Scope
Effective storytelling and presentation abilities; written communication skills for technical audiences
Process & Methodology
Manage multiple projects, priorities, and communication channels
Full Job Description
About the Role We are seeking a strategic and technically fluent Senior Product Manager to own the AI platform layer that underpins our vertical SaaS offering for the lending industry. You are responsible for the foundational capabilities—model serving infrastructure, data pipelines, APIs, SDKs, and developer tooling—that enable both internal engineering teams and, in select cases, external integrators to build AI-powered experiences on top of our platform. 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. Candidates with prior experience building software for consumer lending or mortgage—LOS platforms, automated underwriting, document intelligence, or decisioning engines—will move to the top of the queue. Deep domain familiarity shortens the runway to credibility with both engineering and go-to-market teams. Key Responsibilities: AI Product Strategy and Roadmap - Own the end-to-end product strategy and roadmap for the AI platform layer. - 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. - Partner with principal engineers and ML infrastructure leads to make informed build-vs-buy-vs-partner decisions on foundational AI capabilities - Establish and govern platform-level standards: API versioning policies, model lifecycle management, prompt versioning, and observability requirements - Stay updated with the latest trends and advancements in AI and ML, to identify opportunities for innovation and incorpora
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