Lead Product Manager

Company Overview

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity.

Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

We are seeking an experienced, visionary Product Manager to lead the charge on integrating cutting-edge AI and Generative AI capabilities into our core enterprise platforms, starting with G&A (Finance, HR, Procurement, Legal). A key requirement is expertise in implementing and extending enterprise packaged software (such as Oracle, Workday, or Salesforce), ideally within a SaaS environment. You will play a crucial role in defining product requirements, collaborating with business stakeholders and engineering teams to enable the essential capabilities required for Docusign's growth.

This role requires working cross-functionally with business, engineering, data science, sales, and customer success teams to develop and execute a product strategy aligned with our business goals.

This position is an individual contributor role reporting to the Sr. Director, Application Product Management.

• Develop and execute the product roadmap for General & Administrative (G&A) business functions, aligning with business goals
• Define the strategy, roadmap, and delivery of intelligent, automated enterprise solutions that streamline operations, and reduce administrative costs, using AI-first principles
• Define and manage product requirements, collaborating with developers, UX designers, and business teams
• Enhance efficiency through automation
• Identify and implement AI/ML-driven Process automation
• Conduct testing and validation of new product features, ensuring alignment with compliance standards
• Partner with Finance, HR, Procurement, Legal and IT teams to gather business requirements and translate them into product features
• Work with engineering and data teams to ensure seamless integration
• Communicate product updates, roadmaps, and impact analyses to leadership and key stakeholders
• Leverage data and advanced analytics tools to drive business decisions
• Ensure compliance with financial regulations, labor laws, and data security standards

Hybrid:
Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)

Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.

• Bachelor’s degree in Finance, Business, Information Systems, or a related field
• 12+ years of experience in Product Management and Enterprise Applications
• Experience designing and executing system implementations and process optimization projects within critical enterprise functions such as:
  Finance, Commerce, Human Resources, Procurement and other corporate G&A
• Ability to translate business needs into technical product requirements
• A conceptual understanding of Machine Learning (ML) models, the difference between supervised and unsupervised learning, and the basics of Large Language Models (LLMs) and Generative AI (GenAI)
• Experience with AI-specific performance metrics (e.g., accuracy, precision, recall) and how to design experiments to measure the business impact of an AI feature (e.g., impact on reconciliation speed)
• Ability to define a clear product vision, create a long-term roadmap, and prioritize features based on measurable business value (e.g., which automation delivers the biggest time savings)
• Experience managing product backlogs, writing detailed user stories and technical requirements, and leading agile ceremonies for both software and ML model deployment (MLOps)

• Excellent communication, stakeholder management, and problem-solving abilities
• Exceptional communication skills to act as the bridge between highly technical Data Science teams;
  Finance, Procurement & HR Executives (CFO/CPO offices); and IT Engineering teams
• Sufficient technical knowledge to debate solutions and trade-offs with engineers and data scientists, but focusing on the what and why rather than the how of the code
• Understanding that the user is typically an internal finance analyst or accountant, and ensuring the AI solution (e.g., an automated reconciliation feature) is intuitive and…