AI Product Manager

Youll own the platforms and workflows that turn a closed deal into an active, correctly configured customer account. That means end-to-end responsibility across the quoting-to-provisioning chain, from how quotes are structured and validated through order processing and fulfillment. A core part of this role is improving the upstream quoting experience so that orders arrive clean, complete, and ready to fulfill. Youll work across CPQ experiences to reduce that surface area systematically, while bringing AI into order and provisioning workflows to reduce manual interventions. This role is right for someone who thrives on making messy systems cleaner and wants ownership of something that directly affects every Docusign customer from the moment they sign. This position is an individual contributor role reporting to the Director, Applications Product Management - Commerce. Responsibility Own the product vision and roadmap for order management, fulfillment, and provisioning platforms Drive improvements to quoting workflows product configuration, pricing rules, contract structuring that reduce downstream order errors and provisioning failures Define how orders are processed, validated, and fulfilled across direct, partner, and self-service channels Partner with CPQ, Product&Technology and billing teams to ensure quote-to-order handoffs are clean, well-validated, and operationally resilient at scale Drive automation of provisioning workflows reducing manual touchpoints, accelerating time-to-value, and handling edge cases (amendments, upgrades, cancellations, reinstatements) reliably at scale Lead the integration of AI capabilities into quoting, order, and provisioning workflows automating validation, anomaly detection, and fulfillment decisions where appropriate Own entitlement and seat management logic, ensuring accurate grant, modification, and revocation of product access across the account lifecycle Partner with Engineering to define system contracts between quoting, ordering, billing, and provisioning platforms, reducing inter-system inconsistency and failure modes Drive observability for order and provisioning platforms: dashboards, SLIs/SLOs, fulfillment SLAs, and QBR scorecards Diagnose and resolve complex fulfillment issues while architecting process improvements that eliminate recurring operational toil for support and operations teams Collaborate across Product, Engineering, Finance, Sales Operations, and Customer Success, clearly connecting platform reliability to customer and business outcomes Use AI tools (e.g., Claude, Gemini, Glean, Copilot) to prototype, document, and optimize team workflows 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 positions job designation depending on business needs and as permitted by local law. Basic 8+ years of product management experience in order management, provisioning, or commerce operations within SaaS or enterprise software Deep familiarity with quote-to-cash and quote-to-fulfillment workflows, including how quoting structure and data quality affect downstream order processing and provisioning outcomes Hands-on experience with CPQ platforms and quoting configuration pricing rules, product bundles, contract terms and the ability to identify and drive improvements that reduce order errors at the source Direct experience working with Oracle and Zuora as a subscription management and billing system, including understanding how subscription records, amendments, and renewals are managed with upstream ordering and downstream provisioning systems Experience managing entitlement and provisioning logic for multi-product, multi-channel SaaS environments including bundles, amendments, upgrades, and partner-sourced orders Demonstrated experience defining and implementing observability practices for operational platforms dashboards, alerting, SLIs/SLOs, and fulfillment SLA tracking Proven track record building internal tooling and workflows that reduce manual intervention for operations, support, or finance teams Experience with conversational or agentic AI in an enterprise context - including enabling or integrating AI services into operational workflows, not just using AI tools Proficiency with data pipelines and analytics tools (e.g., Snowflake, Tableau) to monitor, analyze, and report on order and provisioning metrics Background in enterprise account lifecycle management: provisioning, entitlements, seat management, and renewal orchestration Proven ability to lead cross-functional initiatives and present outcomes clearly to senior leadership Familiarity with Agile/Scrum and tooling such as Jira and Confluence Related technical degree (Computer Science, Engineering) or equivalent practical experience Preferred Strong understanding of event-driven architectures and integration patterns used to orchestrate order and provisioning workflows Masters in Business, computer applications or other advanced degrees. Experience with self-service or partner-led provisioning models in a high-volume SaaS environment. Experience building assistants, agents, copilots, or AI products that use tools to complete tasks Certification in Lean Six Sigma, Agile and Product Management Excellent written and verbal communication skills, with the ability to create clarity and alignment across senior cross-functional stakeholders Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.