Product Manager, Risk Automation

Block•Bay Area, CA, United States of America, CA

19h•$139,000 - $245,400•Remote

About The Position

Block Risk Product builds the systems that power our automated, intelligent, and human-in-the-loop risk and compliance operations, enabling fast, accurate decisions that protect our customers and the business across global markets. As Product Manager, Risk Automation, you will drive the vision, strategy, and execution to significantly increase automation, decision quality, and operational efficiency across risk and compliance workflows. You will leverage AI to design and scale automations that fundamentally change how risk is managed at Block while delivering measurable business impact. You will be a builder, continuously identifying high-leverage opportunities for automation and driving them from concept through execution in close partnership with engineering, data, and risk operations.

Requirements

6-9 years of product management experience including a 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
An ownership mentality with the ability to rapidly drive complex, cross-functional initiatives from strategy through execution at scale.
Excellent communicator, capable of distilling complex technical concepts into clear narratives for executive, operational, and technical audiences. Ability to 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

Responsibilities

Own the strategy and roadmap for AI-powered products and capabilities
Identify AI opportunities grounded in user needs and measurable business value
Translate ambiguous problem spaces into clear product requirements
Work closely with ML engineers, data scientists, and researchers on model goals, data needs, evaluation methods, and quality gates
Build and run experiments to validate hypotheses and iterate quickly
Define how the product should behave across success, failure, and edge cases
Establish metrics for accuracy, safety, latency, reliability, and UX satisfaction
Partner with design on intuitive, transparent, and safe human-AI interactions
Collaborate with legal, security, and compliance teams to ensure responsible AI practices
Lead cross-functional execution from concept through launch and iteration