Sr. AI Gtm Engineer

DocuSign DocuSign · Enterprise · San Francisco, CA · Marketing & Communications

This role focuses on building AI-powered workflows, agents, and tooling to enhance the efficiency and effectiveness of Marketing and Growth teams. The engineer will partner with various teams to turn business goals into automated journeys, experiments, and insights, transforming manual processes into AI-augmented systems and establishing foundational patterns and data for AI adoption.

What you'd actually do

  1. Design and implement end‑to‑end AI workflows that power core Growth use cases (e.g., lifecycle/email, in‑product prompts, performance marketing, winback, onboarding, experimentation)
  2. Turn loosely defined business goals and briefs into concrete, agent‑powered flows: from data ingestion and grounding through orchestration logic to user‑facing surfaces (email, in‑product, ads, sales handoffs)
  3. Build internal tools and Agentic User Interfaces (AGUI) that let marketers and operators configure, monitor, and iterate on AI‑driven journeys without needing a developer for every change
  4. Partner with marketers and analysts to prototype quickly and run experiments using AI‑powered MVPs, measuring impact on conversion, engagement, retention, revenue, and LTV
  5. Drive change management and enablement, working hand in hand with business stakeholders to evolve their day‑to‑day processes and deeply adopt AI‑powered tools

Skills

Required

  • 8+ years of experience building user‑facing software applications (front‑end, back‑end, or full‑stack)
  • 1+ years of hands‑on experience in AI engineering with large language models (LLMs), coding assistants, or agentic systems
  • Experience in at least one modern programming language (e.g., Python, TypeScript/JavaScript, Java, or similar)
  • Experience with Growth / GTM metrics and concepts (e.g., funnel conversion, activation, retention, LTV, CAC payback)

Nice to have

  • Experience with agent frameworks such as Azure Agentic Framework, AutoGen, LangGraph, CrewAI or similar, including designing multi‑agent workflows
  • Strong understanding of prompt design, retrieval strategies, LLM evaluation frameworks, and common failure modes for LLM‑based systems
  • Familiarity with data platforms and GTM stacks such as Snowflake, CDPs, Iterable, Hightouch, Salesforce/CRM, ad platforms, and product analytics
  • Experience working in cross‑functional Growth or GTM teams (Marketing, Sales, Product Led Growth, Sales Development, RevOps, Data), ideally in B2B SaaS
  • Comfort working in an environment that values speed, experimentation, and learning over perfection, while maintaining a high bar for reliability in production

What the JD emphasized

  • AI-powered workflows
  • agents
  • tooling
  • customer journeys
  • automated journeys
  • experiments
  • insights
  • AI use cases
  • AI-augmented systems
  • AI-driven journeys
  • AI-powered MVPs
  • AI workflows
  • agent-powered flows
  • Agentic User Interfaces
  • AI-driven journeys
  • AI workflows
  • AI-powered tools
  • AI workflows
  • data foundations
  • AI capabilities
  • agent frameworks
  • multi-agent workflows
  • LLM evaluation frameworks

Other signals

  • AI-powered workflows
  • agents
  • tooling
  • customer journeys
  • automated journeys
  • experiments
  • insights
  • AI use cases
  • AI-augmented systems
  • AI-driven journeys
  • AI-powered MVPs
  • AI workflows
  • agent-powered flows
  • Agentic User Interfaces
  • AI-driven journeys
  • AI workflows
  • AI-powered tools
  • AI workflows
  • data foundations
  • AI capabilities