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Docusign

Runs electronic signing and agreement workflows

Growth AI Lead - Prospecting Science Director

Sales OperationsUpdated on Nov 13
Full-timeSeattle, WA, USA$186.1k - $262.8k /yr

About the Job

Requirements

  • 12+ years of relevant experience, including 5 or more years in revenue operations, growth engineering, marketing technology, or applied AI, and at least 5 years in a B2B SaaS environment.

Responsibilities

  • Own the capability roadmap, deciding which AI agents, prompt architectures, and signal workflows are built and in what sequence.
  • Co-design and govern the full prompt-to-prospect pipeline, including signaling detection, context enrichment, message generation, quality validation, and 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, including prompt architectures, prospecting sequences, and signal logic, without requiring engineering sprints.
  • Govern production quality, 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 them so the engineering team receives a coherent backlog rather than competing demands.
  • Manage and develop Growth AI Builders, provide technical direction, and review 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 engineering, operations, adoption, and business stakeholders have real-time visibility into what is being built and shipped.

Desired Qualifications

  • Hands-on experience building AI/ML-powered workflows in production, including prompt engineering, agent orchestration, or applied natural language processing.
  • Ability to translate business strategy into technical specifications and ship iteratively.
  • Experience managing or mentoring technical individual contributors, such as engineers, data scientists, or technical product managers.
  • Experience governing systems where output quality directly impacts customers.
  • Familiarity with modern go-to-market stack components, including Salesforce, Outreach, Clay, enrichment APIs, and intent platforms.

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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