Lead Product Manager, Finance & AI

Docusign • San Francisco, CA

3d • Hybrid

About The Position

We are hiring a Lead Product Manager to lead Finance data and AI products that improve forecasting, planning, revenue analytics, and controllership. You will set the vision and roadmap for AI-enabled capabilities that increase accuracy, speed, and confidence in Finance decision-making. This position is an individual contributor role reporting to the Director, Product Management.

Requirements

• 12+ years of Finance and Product Management leadership, scaling SaaS operations and enterprise data products to drive business transformation and cross-functional change management
• Experience developing concepts and theories by connecting data across business domains
• Experience delivering ML/AI-powered features from concept through adoption

Nice To Haves

• Familiarity with LLMs, predictive modeling, retrieval/grounding, and risk/guardrails
• Excellent stakeholder management and storytelling and ability to align Finance and Engineering leaders on outcomes and tradeoffs
• Bias for action and clarity in ambiguous domains; consistent record of shipping impactful products in matrixed environments
• Strong business acumen with a track record of communicating the data story to diverse audiences

Responsibilities

• Own the end-to-end vision, strategy, and roadmap for Finance data and AI products that power forecasting, quarter-close, opex management, and GTM performance management for Docusign
• Define and evolve the metrics and governance (ACV, ARR, Bookings, Revenue, pipeline, retention, unit economics, core SaaS KPIs) so it is AI-ready, consistent, explainable, and aligned to external reporting, planning, and leadership decision workflows; lead enterprise-wide rollout and adoption
• Partner with Corporate Finance, Business Operations, and Product to identify high-impact AI use cases across forecasting, planning, close and consolidation, and performance management and translate these into clear problem statements, data/AI use cases, and measurable success criteria
• Work with Data Engineering, Analytics, ML, and Platform teams to design robust, governed data and feature pipelines with high data quality, observability, lineage, SLAs, privacy-by-design, financial controls, and audit readiness
• Define, prioritize, and deliver AI capabilities such as forecasting models, propensity and churn predictions, recommendations, anomaly detection, scenario simulations, and natural language assistants for self-serve insights—along with experimentation design, offline evaluation, online A/B testing, and post-launch performance monitoring
• Drive adoption of AI products by shaping intuitive user experiences and iterating based on qualitative feedback and quantitative usage signals
• Build and maintain portfolio-level prioritization frameworks (impact models, effort sizing, cost/benefit analysis) and align leaders through concise product narratives, PRDs, roadmap reviews, and business reviews
• Establish and report operating metrics for AI products; communicate progress, trade-offs, risks, and decisions to executive stakeholders
• Stay current on AI/ML and generative AI trends and proactively bring forward new capabilities, tools, and patterns that create leverage for Docusign's business

Benefits

• Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
• Stock: This role is eligible to receive Restricted Stock Units (RSUs).
• Paid Time Off: earned time off, as well as paid company holidays based on region
• Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
• Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
• Retirement Plans: select retirement and pension programs with potential for employer contributions
• Learning and Development: options for coaching, online courses and education reimbursements
• Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed