Director, Product Management, AI

Docusign, Inc.-posted about 2 months ago

Full-time • Manager

Hybrid • Seattle, WA

5,001-10,000 employees

Professional, Scientific, and Technical Services

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This role is focused on accelerating AI product development across Docusign by providing essential services and frameworks, while also building and owning core foundational AI features like deep contract understanding. You will lead efforts to enable other teams to build AI features and occasionally co-develop initial product versions, ensuring efficient and scalable AI solutions. The ideal candidate will have extensive product management experience, a deep understanding of the AI development lifecycle, and a proven ability to ship AI products or platforms at scale. This role also involves optimizing AI services for efficiency and contributing to AI governance. This position is a people manager role reporting to GVP, B2B Product Management.

Own foundational AI capabilities
Accelerate AI-driven product development across Docusign by providing services, frameworks, and guidelines for established and new scenarios
Build and maintain AI services and frameworks
Develop, maintain, and improve infrastructure AI services and frameworks so that each team can take advantage of common scenarios at scale, across geographies, and in a secure, data compliant environment (e.g. capture embeddings, vectorize, search, RAG, etc.)
Optimize AI services for scale, cost, and latency
Set the AI governance and compliance standard for Docusign
Set the gold standard for how sensitive customer data is handled for the whole company, and provide the necessary training, communication, brand guidelines, core services, and review process to continue to deliver on Docusign's trust promise to our customers

12+ years experience in building software, ideally at scale, and for enterprises
Experience defining, launching, and scaling demonstrably successful products
Experience managing teams of 5-10 PMs, with managers reporting to you
Experience supporting multiple product lines or initiatives simultaneously, while thoughtfully building services to support them
Ability to navigate and drive collaboration within a complex organizational structure involving not just engineering, and data science teams, but also field teams that need product education for enablement, marketing, etc.

Strong bias to action, sense of ownership, and clarity of communication
Deep understanding of the AI development lifecycle, experience working through typical constraints (e.g. data annotation speed), familiarity with common AI pitfalls and their remedies, and a strong grasp on basic concepts in building machine learning models, natural language processing, and document understanding
Experience using or building with open source and commercial solutions available for accelerating AI product development
Ability to translate complex AI concepts into clear product strategies, company-wide policies, and feature opportunities
Demonstrated experience in the end-to-end lifecycle of AI product development, from ideation to deployment and optimization
Experience in setting the vision and strategic direction of AI initiatives and platform investments
Understanding of the complexities involved in operating AI services in a large-scale, enterprise environment, including considerations for cost, performance, reliability, security, and governance
Awareness and understanding of best practices in AI governance, data privacy, and ethical AI development
Experience in establishing processes or guidelines for responsible AI deployment
Ability to convert this into simple communication that informs and builds trust with our customers
Based in the Seattle area

Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
Stock: This role is eligible to receive Restricted Stock Units (RSUs).
Paid Time Off: earned time off, as well as paid company holidays based on region
Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
Retirement Plans: select retirement and pension programs with potential for employer contributions
Learning and Development: options for coaching, online courses and education reimbursements
Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events

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