AI Lead — Prospecting Science Director

Position: Growth AI Lead — Prospecting Science Director
Company Overview Docusign brings agreements to life. More than 1.8 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 the Docusign AI-native IAM 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 Docusign is building one of the most advanced AI-powered prospecting programs in enterprise SaaS a global program spanning 4 regions, 12 languages, and all customer segments. The Prospecting Science function applies agentic AI, prompt engineering, and systematic experimentation to transform how enterprise sellers find, reach, and engage buyers.

This role leads what gets built - defining the capability roadmap for AI agents that prospect autonomously, designing signal-to-message architectures, and governing quality across a growing portfolio of active experiments spanning inbound, outbound, and partner-sourced motions. You will own the intersection of GTM strategy and AI engineering - translating business intent into agent behavior, and agent output into measurable pipeline.

This position is an individual contributor role reporting to the Sr Director, Growth Global Prospecting and Inbound Sales.

Responsibility Own the capability roadmap, deciding what AI agents, prompt architectures, and signal workflows get built - and in what sequence

Co-design and govern the full prompt-to-prospect pipeline, signaling detection context enrichment message generation quality validation delivery orchestration

Provide prioritization input to DTS on engineering requests, ensuring build capacity aligns with the highest-impact experiments

Build and ship self-serve AI workflows directly (prompt architectures, prospecting sequences, signal logic) without requiring engineering sprints

Govern production quality and approve all agent deployments before they reach prospects and own the quality bar Aggregate requests from Global Directors across segments and motions filter, prioritize, and sequence so the engineering team receives a coherent backlog rather than competing demands

Manage and develop Growth AI Builders, providing technical direction and reviewing all production-bound configurations

Partner with the S&O Strategy Lead on measurement design, attribution models, and investment narratives that connect agent activity to pipeline and revenue outcomes

Collaborate with DTS Product Management on architecture decisions and system design for complex, multi-agent workflows

Maintain a shared roadmap artifact so all stakeholders - engineering, operations, adoption, and business leads - have real-time visibility into what's being built and what's shipping

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 relevant experience including 5 or more years in revenue operations, growth engineering, marketing technology, or applied AI;…