Product Manager, Gtm Automation

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

Product Manager for GTM Automation at Block, focusing on shaping AI products that automate workflows across sales, marketing, and operations. The role involves defining strategy, identifying automation opportunities, partnering with ML teams, and ensuring responsible AI deployment in regulated environments.

What you'd actually do

  1. Own the strategy and roadmap for AI-powered products that matter
  2. Identify automation opportunities rooted in real user pain and measurable business outcomes
  3. Turn ambiguous, high-stakes problems into clear product direction and requirements
  4. Partner deeply with ML engineers, data scientists, and researchers on model goals, data strategy, evaluation, and quality thresholds
  5. Design and run experiments to test ideas fast and learn even faster

Skills

Required

  • 7 to 10 years of product management experience
  • 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

Nice to have

  • Technical or analytical background
  • Domain knowledge in GTM processes (lead-to-opportunity, opportunity-to-cash, customer lifecycle tracking)
  • Domain knowledge in GTM tooling ( (e.g., CRM, outreach, campaign/journey management, CPQ, data enrichment solutions)

What the JD emphasized

  • shipping AI or ML-driven products
  • regulated environments
  • AI quality, safety, and responsible use
  • LLMs, multimodal models, or applied generative AI

Other signals

  • AI-powered products
  • automation backbone
  • intelligent systems
  • LLMs
  • multimodal models
  • applied generative AI