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Sr. Director of Product, AI/ML Platform

Salesforce

$251,900 - $384,100
Oct 8, 2025
Las Vegas, NV, US
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Salesforce is looking to solve the problem of enabling AI development at scale by building a next-generation ML Platform, ensuring that every AI team can innovate faster, safer, and at scale.

Requirements

  • 10+ years of product leadership experience in platform or infrastructure products, with a focus on ML/AI.
  • Proven track record of delivering scalable platform solutions in complex, matrixed environments.
  • Deep understanding of AI/ML workflows (feature stores, experimentation, CI/CD, observability, governance).
  • Familiarity with enterprise-grade security, compliance, and governance frameworks.
  • Experience driving adoption of open-source technologies and managing vendor/tooling strategies.
  • Ability to scale under resource constraints, balancing short-term delivery with long-term vision.
  • Strong communication and executive influencing skills.

Responsibilities

  • Lead the vision and roadmap for our next-generation ML Platform.
  • Drive scale, reliability, and interoperability across the stack.
  • Accelerate developer productivity through self-service, paved paths, and AI-assisted tooling.
  • Partner closely with engineering, security, and business units to operationalize data mesh architecture, experimentation, and governance.
  • Define and own the ML Platform vision and long-range roadmap, ensuring it stays 1–2 quarters ahead of data science needs.
  • Reimagine the developer journey for speed, reliability, and simplicity, building paved paths for data integration, model training, and agent deployment.
  • Ensure high availability and scalability, maintaining rigorous SLAs (99% uptime) across platform services.

Other

  • Build, lead, and mentor a high-performing product team, scaling to meet the platform’s ambitious roadmap.
  • Create an operating model for engagement with data science teams, ensuring inputs, prioritization, and shared accountability.
  • Champion a culture of enablement, transparency, and collaboration across Product, Engineering, and Data Science.
  • Time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
  • Bachelor's degree or higher