Lead Product Manager, Finance & AI

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).

What you'll do

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.

 

Responsibility

• 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

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 position's job designation depending on business needs and as permitted by local law.

What you bring

Basic

• 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

Preferred

• 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

Wage Transparency

Pay for this position is based on a number of factors including