Lead Product Manager
Georgia, USA
Listed on 2026-09-07
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Business
Business Analyst, Business Systems & Technology Analysis
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).
As a Lead Product Manager on the Applications Product Management team, you own high-impact internal application capabilities that power Docusign's go-to-market, customer success, and operations teams. You define the product vision, roadmap, and end-to-end experience for your portfolio, partnering closely with business stakeholders and engineering to deliver measurable outcomes for growth, efficiency, and customer experience.
This position is an individual contributor role reporting to the Sr. Director, Application Product Management.
Responsibility
Define a multi-year product and technology roadmap for your application domain, aligned to company growth goals (e.g., retention, NRR, CSAT, operational efficiency) and IAM strategy
Act as a strategic partner to business stakeholders (e.g., Customer Success, Operations), translating their objectives (such as reducing time-to-resolution or improving digital self-service) into clear product requirements and system capabilities
Drive structured "buy vs. build" decisions for internal tools and platforms, evaluating market solutions versus custom development and shaping vendor integration strategies where appropriate
Map end-to-end user journeys to identify bottlenecks and "swivel-chair" workflows, and design experiences that simplify work for internal users while improving customer outcomes
Lead the strategy for unified data and a 360-degree view of key entities (e.g., customers, accounts, products), ensuring data flows reliably across CRM, billing, product usage, and support systems
Define and instrument success metrics for your products (e.g., internal NPS, adoption, time-to-value, deflection, agent utilization) and use these to prioritize and validate roadmap investments
Own the full product lifecycle: problem discovery, requirements, prioritization, backlog management, sprint planning, and acceptance; roll up your sleeves to work through configuration and implementation details as needed
Lead change management for new capabilities, partnering with enablement and operations to deliver training, communications, and adoption programs that land changes successfully with end users
Operate as a "services product" leader for your area, protecting engineering from ad-hoc requests by maintaining a transparent, ROI-driven backlog and making tradeoffs explicit to stakeholders
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 bringBasic
12+ years of experience in product management, including meaningful work on AI/ML products, B2B SaaS platforms, or CRM/CS ecosystems (e.g., Salesforce, Service Cloud, Zendesk, Gainsight)
Experience with APIs, data pipelines/warehousing, and identity/entitlements; you can collaborate effectively with architects and engineers on system design even if you don't write production code
Experience shipping Al- or ML-powered capabilities (for example, chatbots, intelligent routing, recommendations, or predictive insights) and using data to monitor and improve them…
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