Lead Product Manager - AI (finance, Hr, Procurement, Legal)

DocuSign DocuSign · Enterprise · San Francisco, CA · IT Infrastructure & Operations

Product Manager to lead the integration of AI and Generative AI into enterprise platforms for Finance, HR, Procurement, and Legal. Requires expertise in enterprise packaged software and defining product requirements for AI-first solutions.

What you'd actually do

  1. Develop and execute the product roadmap for General & Administrative (G&A) business functions, aligning with business goals
  2. Define the strategy, roadmap, and delivery of intelligent, automated enterprise solutions that streamline operations, and reduce administrative costs, using AI-first principles
  3. Define and manage product requirements, collaborating with developers, UX designers, and business teams
  4. Enhance efficiency through automation
  5. Identify and implement AI/ML-driven Process automation

Skills

Required

  • Product Management
  • Enterprise Applications
  • system implementations
  • process optimization
  • Machine Learning (ML) models
  • Large Language Models (LLMs)
  • Generative AI (GenAI)
  • AI-specific performance metrics
  • design experiments
  • product vision
  • long-term roadmap
  • prioritize features
  • product backlogs
  • user stories
  • technical requirements
  • agile ceremonies
  • MLOps

Nice to have

  • conceptual understanding of Machine Learning (ML) models
  • basics of Large Language Models (LLMs) and Generative AI (GenAI)
  • SaaS environment
  • Finance
  • Commerce
  • Human Resources
  • Procurement
  • corporate G&A
  • stakeholder management
  • problem-solving abilities
  • technical knowledge to debate solutions and trade-offs with engineers and data scientists

What the JD emphasized

  • expertise in implementing and extending enterprise packaged software
  • AI-specific performance metrics
  • design experiments to measure the business impact of an AI feature
  • MLOps

Other signals

  • integrating cutting-edge AI and Generative AI capabilities into our core enterprise platforms
  • AI/ML-driven Process automation
  • MLOps