Product Manager, Risk Automation

Block Block · Fintech · CA · Remote · 10103 Business - Product - Cash App

Product Manager for Risk Automation at Block, focusing on leveraging AI to automate and improve risk and compliance decision-making. The role involves driving strategy, identifying AI opportunities, translating needs into requirements, and collaborating with engineering and data science teams. Experience with AI/ML products, experimentation, and LLMs is required, with a focus on building operational tooling in a regulated fintech environment.

What you'd actually do

  1. Own the strategy and roadmap for AI-powered products and capabilities
  2. Identify AI opportunities grounded in user needs and measurable business value
  3. Translate ambiguous problem spaces into clear product requirements
  4. Work closely with ML engineers, data scientists, and researchers on model goals, data needs, evaluation methods, and quality gates
  5. Build and run experiments to validate hypotheses and iterate quickly

Skills

Required

  • 6-9 years of product management experience
  • launching successful AI or ML driven products
  • technical intuition about ML models, training loops, evaluation, prompt design, data pipelines, and real-time inference constraints
  • designing and running structured experiments, including A/B tests and offline evaluations
  • ownership mentality
  • rapidly drive complex, cross-functional initiatives from strategy through execution at scale
  • Excellent communicator
  • distilling complex technical concepts into clear narratives
  • work across scaled risk, compliance, and operational teams in a regulated industry
  • Familiarity with AI quality, safety, and responsible-use frameworks
  • Experience with LLMs, multimodal models, or applied generative AI
  • Experience building operational tooling that drives cost savings and quality

What the JD emphasized

  • proven track record launching successful AI or ML driven products
  • Strong technical intuition about ML models, training loops, evaluation, prompt design, data pipelines, and real-time inference constraints
  • Experience designing and running structured experiments, including A/B tests and offline evaluations
  • Ability to work across scaled risk, compliance, and operational teams in a regulated industry

Other signals

  • drive the vision, strategy, and execution to significantly increase automation, decision quality, and operational efficiency across risk and compliance workflows
  • leverage AI to design and scale automations that fundamentally change how risk is managed at Block
  • identify high-leverage opportunities for automation and driving them from concept through execution