Job Description

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). What you’ll do The Global Data and Analytics organization is seeking an experienced Product Manager to lead the development of AI-powered data solutions that drive marketing productivity. In this role, you will define and execute the product strategy for reporting, analytics, and agentic solutions that empower our internal Marketing teams. You will collaborate closely with Marketing stakeholders, engineering, data science, and Operation teams to deliver impactful data products that streamline marketing operations and maximize marketing 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 Director of Product Management, Global Data & Analytics. Responsibility Develop and execute the product roadmap for AI-powered reporting, analytics, and agentic solutions that enhance marketing productivity Own the strategy and delivery of intelligent enterprise data solutions that streamline marketing operations using AI-first principles Partner closely with the internal marketing stakeholders to deeply understand the marketing programs and identify productivity opportunities through data and AI Collaborate with Marketing Operations and Performance Marketing 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 Job Designation 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. What you bring Basic Bachelor’s degree in Business, Information Systems, Computer Science, or a related field 5+ years of experience in Product Management or 3+ years of experience with a Master’s degree Experience with SQL for data querying, analysis, and validation Experience building, deploying or experimenting with Large Language Models (LLMs) and Generative AI (GenAI) applications Experience managing product backlogs, writing detailed user stories, and experience with JIRA for tracking Preferred Proven track record of driving innovation, vision, and creative problem solving leveraging product management mindset Excellent communication, stakeholder management, and problem‑solving abilities Experience supporting marketing teams and a deep understanding of the Marketing Operations lifecycle Experience with Salesforce, Tableau, JIRA, and Snowflake 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 Exceptional communication skills to act as the bridge between highly technical Data Science teams, Marketing Executives, and Data Engineering teams, especially with remote teams in different geographies Ability to define a clear product vision, create a product roadmap, and prioritize features based on measurable business value #J-18808-Ljbffr

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