Growth AI Builder — Prospecting Science Manager

Docusign • Seattle, WA

8d • Hybrid

About The Position

The Prospecting Science program runs AI 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 AI workflows that sellers use daily.

Requirements

• 5+ years of experience in a technical GTM, growth engineering, or applied AI role - hands-on building, not managing
• 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 AI Lead approval; you build, Lead approves
• Comfort with ambiguity: the program is scaling fast and requirements evolve weekly

Responsibilities

• Build and maintain AI 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 AI Lead, translate business intent into buildable specifications
• Ship self-serve AI 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

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: Mid Level
• Education Level: No Education Listed