Role Overview
The Lead Product Manager – Commerce Applications will own the product vision, strategy, and roadmap for commerce capabilities end to end, spanning quoting controls, product and pricing enablement, and the integrations that connect these to billing, provisioning, and revenue operations across direct, partner, and self-serve channels.
What You Will Do
The successful candidate will map and manage the full commerce stack, define and enforce quoting controls, drive the end-to-end quoting experience for sellers and customers, identify systemic issues, and enable new monetization models and pricing constructs.
Why It Might Be a Fit
This role requires someone who combines deep commerce domain expertise with a systems mindset, thrives in cross-functional complexity, and is energized by building the infrastructure that every Docusign transaction depends on.
Requirements
- 12+ years of product management experience in commerce, quote-to-cash, or order-to-revenue domains within SaaS or enterprise software
- Experience reasoning end to end across commerce systems, understanding how product definitions, pricing constructs, quoting rules, billing logic, and provisioning outcomes connect
- Experience with one or more layers of the commerce stack (CPQ, catalog/pricing systems, billing platforms, provisioning, or revenue operations) and the ability to quickly build fluency in adjacent layers
- Experience with quoting controls: pricing rules, discount governance, configuration validation, approval hierarchies, and policy enforcement across direct and partner channels
- Experience enabling new products or monetization models to reach market, including familiarity with the data standards, workflow governance, and cross-functional coordination (e.g., NPI processes and product catalog management) that make launches reliable and scalable
- Experience working with enterprise commerce platforms (e.g., CPQ tools, subscription management systems such as Zuora, ERP/CRM systems such as Oracle or Salesforce) with an understanding of how data and state flow across system boundaries
- Experience identifying systemic issues in commerce or operational workflows and drive corrective action that prevents recurrence, not just resolves the immediate incident
- Experience with AI-first products: a track record of designing or shipping AI-powered capabilities in an enterprise context, not just integrating AI tools, but owning the product decisions around what the AI does, when it acts autonomously versus defers to humans, how its outputs are evaluated, and how it improves over time
- Experience with the building blocks of applied AI in enterprise workflows: LLM-based assistants, agentic task execution, retrieval-augmented generation, structured output and tool use, and the evaluation and feedback loops that make AI systems production-reliable
- Experience working fluently with engineering and data science teams on AI feature development – including translating business outcomes into model objectives, defining evals, and shaping rollout criteria for AI-assisted or AI-driven experiences
- Experience with data pipelines and analytics tools (e.g., Snowflake, Looker, Tableau) to monitor, analyze, and report on commerce platform performance and operational health
- Experience influencing priorities, shaping cross-functional strategies, and aligning multiple teams toward shared objectives
- Experience leading complex, high-impact cross-functional initiatives and communicate outcomes clearly to senior leadership
- Experience with Agile/Scrum and tooling such as Jira and Confluence
- Related technical degree (Computer Science, Engineering) or equivalent practical experience
Benefits
- Paid Time Off
- Paid Parental Leave
- Full Health Benefits Plans
- Retirement Plans
- Learning and Development
- Compassionate Care Leave
- Life at Docusign
To apply for this job please visit hubcareers-docusign.icims.com.

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