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Block Support Product builds the systems that power our self-service, automated, and human support experiences, driving efficiency and quality across our businesses and global markets. As Support Product Manager, Support Automation, you will drive the vision, strategy, and execution to rapidly increase automation and service quality. You will leverage AI technology to create powerful automations that will change how customers experience support at Block and drive meaningful business impact. You will be a builder, responsible for continuously identifying opportunities for AI automations and driving execution.
Job Responsibility:
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
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 Customer Support 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