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Docusign

Runs electronic signing and agreement workflows

Growth AI Builder - Prospecting Science Manager

AI Application EngineeringUpdated on Nov 13
Full-timeSeattle, WA, USAHybrid

About the Job

Requirements

  • At least 5 years of experience in a technical go-to-market, growth engineering, or applied AI role, with hands-on building experience rather than management.
  • Deep prompt engineering or natural language processing experience, including designing and shipping production prompts that generate customer-facing output.
  • Experience with modern enrichment and orchestration tools such as Clay, Apollo, Clearbit, ZoomInfo, or similar tools.
  • Comfort working with SQL, APIs, and webhook-based integrations.
  • Ability to test configurations thoroughly and ensure quality before release.
  • Ability to work within governance guardrails; production deployments require Growth AI Lead approval.
  • Comfort working with ambiguity as the program scales and requirements evolve weekly.
  • Applicants must already be authorized to work in the United States on a full-time, permanent basis without current or future sponsorship.
  • Applicants must be able to work in an eligible state; Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia, and Wyoming are excluded.

Responsibilities

  • Build and maintain AI agent configurations, including prompt architectures, context injection logic, tone calibration, and response validation rules.
  • Design end-to-end signal-to-message workflows, from firmographic, technographic, intent, and behavioral enrichment through message generation and quality scoring.
  • Own the business requirements document for assigned use cases and translate business intent into buildable specifications.
  • Ship self-serve AI workflows using tools such as Clay, enrichment APIs, and prompt orchestration platforms without requiring an engineering sprint.
  • Build and maintain technical experiment-in-a-box documentation, including prompt libraries, configuration specifications, agent behavior guides, and testing protocols.
  • Test each configuration against real prospect data before production deployment.
  • Instrument quality telemetry by building monitoring for output quality, response rates, and failure modes so the team can iterate based on 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.

Desired Qualifications

  • Deep prompt engineering or natural language processing experience, including designing and shipping production prompts that generate customer-facing output.
  • Experience with modern enrichment and orchestration tools such as Clay, Apollo, Clearbit, ZoomInfo, or similar tools.
  • Comfort working with SQL, APIs, and webhook-based integrations.
  • Ability to test configurations thoroughly and ensure quality before release.
  • Ability to work within governance guardrails; production deployments require Growth AI Lead approval.
  • Comfort working with ambiguity as the program scales and requirements evolve weekly.

About the Company

Docusign

Runs electronic signing and agreement workflows

Docusign runs electronic signing and agreement management software for businesses, letting people approve contracts online and track the steps around each agreement. Its eSignature product routes documents to signers and records who signed, while contract lifecycle tools organize preparation, negotiation, and approvals. The Intelligent Agreement Management platform stores contracts in a searchable repository and uses AI to extract terms and connect agreement data to business workflows. Customers use its web applications or embed signing through APIs, and pay for subscriptions based on users, features, and document allowances. Docusign was founded in 2003 and is headquartered in San Francisco.

Company size
5,001-10,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2003

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