Partner Operations Program Manager

DocuSign · Enterprise · San Francisco, CA +3 · Business/Sales Operations & Strategy

This role focuses on managing the partner technology stack and operations, with a significant emphasis on integrating AI and automation into partner workflows. Key responsibilities include defining data models for AI/ML use cases, leveraging AI for insights, and architecting AI-driven support solutions involving LLM embeddings, RAG, and automation pipelines. The role also involves establishing quality control for AI outputs and driving AI performance optimization.

What you'd actually do

  1. Lead and manage the operational strategy and roadmap for partner programs, partnerships, and business processes related to how partners engage, service, and build with Docusign, including identifying opportunities to embed AI-driven automation and insights into core partner workflows
  2. Define the partner data model, governance, and data quality standards across CRM and related systems, ensuring partner and program data is accurate, complete, and structured to support advanced analytics and AI/ML use cases
  3. Aggregate, organize, and synthesize key partner performance information, using AI-enabled insights where appropriate, and translate findings into actionable recommendations for leadership
  4. Integrate custom LLM embeddings, retrieval-augmented generation (RAG), and automation pipelines into support workflows
  5. Establish quality-control frameworks, defining validation checkpoints and governance policies for AI outputs

Skills

Required

  • Project and program management
  • Partner technology stack management
  • Data modeling and governance
  • AI/ML use case definition
  • Integration of LLM embeddings, RAG, and automation pipelines
  • AI output quality control and governance
  • AI performance metric tracking and optimization
  • Cross-functional collaboration
  • Salesforce (or similar CRM)
  • Tableau

Nice to have

  • Experience leveraging AI and automation to improve operational processes, data management controls, and governance

What the JD emphasized

  • AI-driven automation
  • AI/ML use cases
  • AI-enabled insights
  • custom LLM embeddings
  • retrieval-augmented generation (RAG)
  • automation pipelines
  • AI outputs
  • AI performance metrics
  • AI fluency forums

Other signals

  • AI-driven automation
  • AI/ML use cases
  • AI-enabled insights
  • custom LLM embeddings
  • retrieval-augmented generation (RAG)
  • automation pipelines
  • AI outputs
  • AI performance metrics
  • AI fluency forums