Senior Product Manager - AI Platform

New
USFull-TimeSenior
Salary104,148 - 170,000 USD per year
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Job Details

Experience
5+ years of product management experience, including at least 3+ years focused on platform, infrastructure, or developer tools.
Required Skills
Product ManagementRESTful APIsSaaS

Requirements

  • 5+ years of product management experience, including at least 3+ years focused on platform, infrastructure, or developer tools.
  • Proven experience delivering AI/ML or enterprise SaaS products from concept to production.
  • Strong technical fluency in AI/ML concepts, including LLMs, inference systems, embeddings, and model lifecycle management.
  • Experience defining APIs, SDKs, data contracts, and developer experience frameworks for technical users.
  • Ability to engage deeply with engineering and ML teams on architecture, performance, and system design tradeoffs.
  • Strong understanding of data pipelines, event-driven systems, and modern data infrastructure concepts.
  • Experience in vertical SaaS or lending/mortgage technology is highly preferred.
  • Excellent communication, storytelling, and cross-functional collaboration skills.

Responsibilities

  • Own the end-to-end strategy and roadmap for the AI platform layer, aligning it with broader product and business objectives.
  • Define and evolve core platform capabilities, including model serving infrastructure, APIs, SDKs, data pipelines, and developer tooling.
  • Partner with engineering and ML teams to evaluate build-vs-buy decisions and establish scalable AI architecture standards.
  • Design and govern developer experience standards, including API contracts, versioning policies, documentation, and onboarding flows.
  • Establish AI governance frameworks covering model lifecycle management, observability, compliance, and risk controls.
  • Define platform reliability and performance metrics such as latency, availability, throughput, and adoption.
  • Collaborate with internal product teams to improve integration, reduce friction, and optimize time-to-value for AI capabilities.
  • Monitor industry trends in AI/ML to identify opportunities for platform innovation and improvement.
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104,148 - 170,000 USD per year
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