Director, Product Management, AI

About the Role

Key Responsibilities

• Convert from PDF-to-text with layout and table understanding
• Capture standard agreement structure, including key types, fields, and clauses
• Provide a secure, compliant, fully anonymized, and auditable datastore that teams can pull from to get training data
• Own capabilities for end-users to build and refine custom document understanding models
• Own services and tools to accelerate document understanding tasks, e.g., snippet selection
• Accelerate AI-driven product development across Docusign by providing services, frameworks, and guidelines for established and new scenarios
• Co-develop the initial version of the product with a feature-focused team, and support teams in using existing services
• Develop, maintain, and improve infrastructure AI services and frameworks for scalable, secure, and compliant AI solutions (e.g., capture embeddings, vectorize, search, RAG, etc.)
• Optimize AI services for scale, cost, and latency
• Invest in key capabilities to maximize scale while minimizing cost and latency, such as fine-tuning smaller models and routing workloads
• Set the AI governance and compliance standard for Docusign
• Set the gold standard for handling sensitive customer data, including providing training, communication, brand guidelines, and review processes

Requirements

• 12+ years experience in building software, ideally at scale, and for enterprises
• Experience defining, launching, and scaling successful products
• Experience managing teams of 5-10 product managers, with managers reporting to you
• Experience supporting multiple product lines or initiatives simultaneously
• Ability to navigate and drive collaboration within complex organizational structures involving engineering, data science, field teams, marketing, etc.

Nice to Have

• Strong bias to action, sense of ownership, and clarity of communication
• Deep understanding of the AI development lifecycle, including data annotation, common pitfalls, and remedies
• Familiarity with building or using open source and commercial AI solutions
• Ability to translate complex AI concepts into clear product strategies and policies
• Experience in end-to-end AI product lifecycle from ideation to deployment and optimization
• Experience setting the vision and strategic direction for AI initiatives
• Understanding of operating AI services at large scale, including cost, performance, reliability, security, and governance
• Knowledge of AI governance, data privacy, and ethical AI development
• Experience establishing responsible AI deployment processes and guidelines
• Ability to communicate AI concepts clearly to build trust with customers

Benefits & Perks

• Pay ranges based on location, with specific ranges for California and other states
• Bonus and stock options, including Restricted Stock Units (RSUs)
• Global benefits including paid time off, paid parental leave, full health benefits, retirement plans, learning and development options, and compassionate care leave