Growth AI Builder — Prospecting Science Manager

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).

The Prospecting Science program runs Al agents that engage prospects at enterprise scale across 4 regions, 12 languages, and all customer segments. Behind every agent interaction is a prompt architecture, a signal workflow, and a quality gate and someone has to build, tune, and maintain them all. This is the most hands-on-keyboard role in the program. You will spend the majority of your time building: designing prompts, configuring agent behaviors, connecting data signals to message logic, and shipping self-serve Al workflows that sellers use daily. This position is an individual contributor role reporting to the Sr Director, Growth Global Prospecting and Inbound Sales.

Build and maintain Al agent configurations: prompt architectures, context injection logic, tone calibration, and response validation rules Design signal-to-message workflows end to end: from enrichment (firmographic, technographic, intent, behavioral) through message generation and quality scoring Own the business requirements document (BRD) for use cases assigned by the Growth Al Lead translate business intent into buildable specifications Ship self-serve Al workflows using tools like Clay, enrichment APIs, and prompt orchestration platforms no engineering sprint required Build and maintain technical "experiment-in-a-box" documentation: prompt libraries, configuration specs, agent behavior guides, and testing protocols Operate with quality obsession: test every configuration against real prospect data before production deployment Instrument quality telemetry: build monitoring for output quality, response rates, and failure modes so the team can iterate from data Collaborate with DTS on complex, multi-system builds that require platform-level infrastructure Maintain the shared roadmap with build status, shipping dates, and technical dependencies 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 5+ years of experience in a technical GTM, growth engineering, or applied Al role - hands-on building, not managing Preferred Deep prompt engineering or NLP experience: you've designed and shipped production prompts that generated customer-facing output Experience with modern enrichment and orchestration tools (Clay, Apollo, Clearbit, ZoomInfo, or similar) Strong data fluency: comfortable with SQL, APIs, and webhook-based integrations Quality-first mindset: you test obsessively and don't ship until it's right Ability to work within governance guardrails - production deployments require Growth Al Lead approval; you build, Lead approves Comfort with ambiguity: the program is scaling fast and requirements evolve weekly Wage Transparency Pay for this position is based on a number of factors including geographic location and may vary depending on job-related