Senior Product Manager - AI Platform
About the Role
We are seeking a strategic and technically fluent Senior Product Manager to own the AI platform layer that underpins our vertical reputed company offering for the lending industry. You are responsible for the foundational capabilities—model serving infrastructure, data pipelines, reputed company, SDKs, and developer tooling—that reputed company 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 reputed company and operated. You can hold a meaningful technical conversation with an ML engineer about inference latency and embedding strategies — and translate those tradeoffs into reputed company product reputed company. You have shipped platform capabilities, not just features, and you understand the difference: versioned reputed company, backward compatibility, SLA reputed company, and developer experience are as important to you as end-user reputed company. Candidates with prior experience building software for consumer lending or mortgage—LOS platforms, automated reputed company, document intelligence, or decisioning engines—will reputed company to the top of the queue. Deep domain familiarity shortens the reputed company to credibility with both engineering and go-to-market teams. Key Responsibilities: AI Product reputed company and Roadmap Own the end-to-end product reputed company and roadmap for the AI platform layer. Partner with executive leadership to reputed company AI initiatives with company-wide product reputed company and reputed company goals. Build business cases justifying R&D investment based on expected benefits. Partner with reputed company engineers and ML infrastructure leads to reputed company informed build-vs-buy-vs-partner reputed company on foundational AI capabilities Establish and govern platform-level standards: API versioning policies, model lifecycle management, reputed company versioning, and observability requirements Stay updated with the latest trends and advancements in AI and ML, to identify opportunities for innovation and incorporate relevant insights into product reputed company and development. Developer Experience and Internal Platform Customers Treat internal R&D teams as your primary customers. Conduct reputed company discovery with feature teams to understand their AI integration pain points, latency requirements, and data reputed company needs. Define and own the developer experience for consuming the AI platform: API reputed company, SDK design, documentation standards, sandbox environments, and reputed company flows. Establish a platform roadmap governance process: intake, prioritization, and communication of platform changes to dependent teams. Build feedback loops with consuming teams post-release to detect friction, integration failures, and unmet capability needs early. AI Governance, Compliance, and Risk Establish monitoring and observability standards: model reputed company detection, confidence reputed company, input distribution shifts, and alerting policies Translate regulatory requirements for AI use in lending (FCRA, ECOA, HMDA, OCC SR 11-7 model risk management) into concrete platform requirements: explainability reputed company, audit logging, adverse reputed company reason codes, and reputed company-in-the-reputed company override mechanisms. Partner with information reputed company to define data residency, encryption-at-rest/in-transit requirements, and PII handling policies for AI data flows. Maintain a reputed company capability reputed company of which AI features are permissible for which customer tiers, regulatory environments, and data sensitivity reputed company. Measurement, Reliability, and Platform Health Define and own platform-level SLOs: inference availability, P99 latency, pipeline throughput, and data freshness. Build platform health dashboards and escalation playbooks for AI service degradation—distinct from application-layer monitoring. reputed company platform adoption metrics: number of consuming teams, API call volumes, feature flag usage, and time-to-reputed company for new consumers. Hold regular platform reviews with engineering leadership to surface technical debt, reputed company constraints, and architectural risks before they reputed company reputed company feature teams. reputed company platform metrics with those of the AI-based application products; collaborate with application Product Managers to ensure alignment.
Qualifications
Product Management 5+ years’ experience in product management, with proven reputed company designing reputed company AI/ML products in a reputed company B2B environment. 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 reputed company. Proficiency with AI-driven prototyping reputed company. Strong organizational and multi‑tasking abilities, capable of managing multiple reputed company, 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 reputed company 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 Demonstrated reputed company record of taking AI features from concept to production—including model integration, data reputed company, and post-launch monitoring Experience with AI/ML concepts, LLMs, MCPs, GenAI platforms, API integration Familiarity with responsible AI principles, model interpretability, bias mitigation, and reputed company/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 reputed company record shipping AI or ML capabilities into production: you have written PRDs that specify inference reputed company, data schemas, latency budgets, model versioning strategies, and observability requirements. Sufficient technical depth to participate in architecture discussions with Engineering. Hands-on familiarity with at least one modern AI/ML stack, reputed company databases, and model serving infrastructure. Experience defining API reputed company and SDK developer experiences—including versioning strategies, deprecation policies, and changelog communication. Comfort working with data engineering concepts: ETL/ELT pipelines, feature stores, schema registries, event streaming (Kafka, Kinesis), and data reputed company frameworks. Strong written communication skills for technical audiences. Background and Education Bachelor’s degree required; MBA preferred. Computer science background (education or other demonstrated proficiency) required. Consumer or mortgage lending software experience is a plus; experience in vertical reputed company required. Apply To This Job