Lead the definition and execution of Docusign’s product strategy. Partner with the CPO to translate company priorities into a clear, aligned product roadmap and drive execution rigor across all product teams. Build the Product Operations function, systems, processes, tools, and discipline, that enables faster, better-informed decisions and cross-functional alignment. Use automation and AI strategically to eliminate manual work, surface insights, and keep teams moving at velocity. This position is a people manager role reporting to the Vice President, Product. Responsibility Partner with CPO to define Docusign’s product strategy and translate strategic priorities (agreement journey enablement, solution adoption, enterprise/global expansion) into quarterly OKRs and product roadmap Facilitate alignment across product teams and cross-functional partners (Sales, CS, Support, Finance) on shared priorities, trade-offs, and KPIs Own communication of strategy and progress upward to executive leadership and across the organization Build transparent systems for decision-making and resource allocation Build and scale Product Ops function (team structure, tools, processes) to support faster iteration and cross-functional alignment Establish clear product prioritization frameworks and decision-support processes, and own quarterly planning and roadmap development cycles Drive adoption of product management discipline, methodologies, and best practices across all product teams Create operational cadence for product leadership (reviews, steering, alignment) that keeps teams moving in sync Establish product analytics strategy, instrumentation standards, and reporting frameworks Create cohort analysis, adoption tracking, and customer health dashboards to inform prioritization Enable product teams to self-serve analytics and run experiments with velocity Define and track leading indicators of product-market fit and customer success Identify high-impact opportunities to automate routine work and streamline processes (analytics aggregation, reporting, stakeholder communication, etc.) Evaluate and implement tools—including AI where appropriate—to reduce manual effort and surface insights faster Build internal dashboards and self-service capabilities to democratize product data Establish repeatable processes to measure and iterate on operational efficiency gains