Careers - Product Manager, Risk Automation

Block

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$163,600–$245,400 / yr
Posted
1 day ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $188k
This role $204k
$134k most similar roles pay here $257k

This role pays more than 68% of similar roles. Most pay $160,400–$214,900 — the shaded band above. At the midpoint, this role pays about $204k versus about $188k for comparable roles.

Based on 239 similar postings.

Employer

About Block

Block, Inc. (formerly Square) is a financial technology company operating the Square merchant payments ecosystem, Cash App peer-to-peer payments, TIDAL music streaming, and Bitcoin-focused financial services. Industry: Financial Technology & Payments

Block currently has 247 open roles on FindRole.

Listed pay typically runs $184,500–$276,800 across 54 roles with salary data.

Most-posted roles

View all roles at Block

At a glance

TL;DR · Careers - Product Manager, Risk Automation

As a Product Manager for Risk Automation at Block, you will lead the strategic development and execution of AI-powered products to enhance risk management operations globally. Your role involves identifying high-impact automation opportunities, translating them into clear product requirements, and collaborating closely with engineering, data science, and compliance teams to ensure responsible AI practices. You will own the roadmap for AI-driven solutions, design experiments to validate hypotheses, and establish robust metrics for accuracy and reliability. With 6-9 years of experience in launching successful AI products, you should possess strong technical intuition about ML models, data pipelines, and real-time inference constraints, along with expertise in designing operational tooling that drives cost savings and quality improvements within a regulated industry environment.

What you'll do

  • Own the strategy and roadmap for AI-powered risk management products.
  • Identify high-leverage opportunities for automation based on user needs and business value.
  • Translate complex problem spaces into clear product requirements and specifications.
  • Work closely with ML engineers to define model goals, data needs, and evaluation methods.
  • Establish metrics for accuracy, safety, latency, reliability, and UX satisfaction of AI products.

What we're looking for

  • 6-9 years of product management experience with a track record in AI or ML products.
  • Proven technical expertise in machine learning models and real-time inference constraints.
  • Experience designing and running structured experiments for model evaluation.
  • Strong ownership mentality to drive complex, cross-functional initiatives at scale.
  • Excellent communication skills for diverse audiences across regulated industries.
  • Familiarity with frameworks for AI quality, safety, and responsible use.
  • Experience building operational tooling that drives cost savings and quality improvements.

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