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Mid LevelFull-timeRustAWSMachine LearningAIML
Salary Range
$110,500 - $149,500 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are building the automation backbone of Block. The systems you help create will decide how work flows, how decisions are made, and how fast the company can move. This platform powers automation across customer support, risk and compliance, sales and marketing, and core internal operations. When it works, Block scales with confidence, speed, and precision.
Key Responsibilities
- →Own the strategy and roadmap for AI-powered products that matter
- →Identify automation opportunities rooted in real user pain and measurable business outcomes
- →Turn ambiguous, high-stakes problems into clear product direction and requirements
- →Partner deeply with ML engineers, data scientists, and researchers on model goals, data strategy, evaluation, and quality thresholds
- →Design and run experiments to test ideas fast and learn even faster
- →Define product behavior across success paths, failures, and edge cases
- →Set and own metrics for accuracy, safety, latency, reliability, and user trust
- →Work with design to build human-AI interactions that are intuitive, transparent, and safe
- →Collaborate with legal, security, and compliance to ship responsible AI in regulated environments
- →Lead cross-functional execution from concept to launch and continuous improvement
Requirements
- ✓6 to 9 years of product management experience, with a strong track record shipping AI or ML-driven products
- ✓Deep technical intuition around machine learning systems, including training loops, evaluation, prompt design, data pipelines, and real-time inference constraints
- ✓Experience running structured experiments such as A/B tests and offline model evaluations
- ✓A true ownership mindset and the ability to drive complex initiatives across teams without waiting for permission
- ✓Clear, compelling communication skills for executive, technical, and operational audiences
- ✓Experience working in scaled, high-stakes, or regulated environments such as risk, compliance, or operations
- ✓Strong understanding of AI quality, safety, and responsible use
- ✓Hands-on experience with LLMs, multimodal models, or applied generative AI
Benefits
- ★Medical insurance
- ★Flexible time off
- ★Retirement savings plans
- ★Modern family planning
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