Sr. Product Manager

Docusign • Seattle, WA

9d • Hybrid

About The Position

We are seeking an experienced, visionary Sr. Product Manager to lead the development of AI-powered data solutions that drive field seller productivity. In this role, you will define and execute the product strategy for reporting, analytics, and agentic solutions that empower our sales teams. You will collaborate closely with Sales stakeholders, engineering, data science, and customer success teams to deliver impactful data products that streamline sales operations and maximize seller effectiveness. Your work will be instrumental in enabling Docusign’s growth by providing actionable insights and automation to our field seller community. This position is an individual contributor role reporting to the Sr. Manager, Global Data & Analytics.

Requirements

• Bachelor’s degree in Business, Information Systems, Computer Science, or a related field
• 8+ years of experience in Product Management or 6+ years with Masters Degree
• Experience with SQL for data querying, analysis, and validation, demonstrating a strong data product management foundation
• Proven track record of driving innovation, vision, and creative problem solving leveraging product management mindset
• Experience building, deploying or experimenting with Large Language Models (LLMs) and Generative AI (GenAI) applications
• Ability to define a clear product vision, create a product roadmap, and prioritize features based on measurable business value
• Experience managing product backlogs, writing detailed user stories, and leveraging JIRA for tracking

Nice To Haves

• Exceptional communication skills to act as the bridge between highly technical Data Science teams, Sales Executives, and Data Engineering teams
• Excellent communication, stakeholder management, and problem-solving abilities
• Experience supporting sales field teams and a deep understanding of the sales lifecycle
• Experience with Salesforce, Tableau, JIRA, and Snowflake
• Sufficient technical knowledge to debate solutions and trade-offs with engineers and data scientists, focusing on the what and why rather than the how of the code

Responsibilities

• Develop and execute the product roadmap for AI-powered reporting, analytics, and agentic solutions that enhance field seller productivity
• Own the strategy and delivery of intelligent enterprise data solutions that streamline sales operations using AI-first principles
• Partner closely with the field seller community to deeply understand the sales cycle and identify productivity opportunities through data and AI
• Collaborate with Sales and Customer Success teams to gather business requirements and translate them into impactful data reporting solutions
• Coordinate with data engineering and data science teams to launch and enhance data reporting solutions
• Communicate product updates, roadmaps, and impact analyses to leadership and key stakeholders
• Leverage data and advanced analytics tools to drive business decisions and measure the impact of new features on sales productivity

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees