Sr. AI GTM Engineer

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, connecting it to business systems of record to save time, money, and opportunity.

About the role

Growth at Docusign is evolving from manually orchestrated campaigns to autonomous, AI-driven customer journeys. As an AI GTM Engineer on the Growth team, you’ll apply an engineering mindset to build AI-powered workflows, agents, and tooling that make Marketing and Growth teams radically more efficient and effective. You’ll partner with Lifecycle Marketing, Campaign Operations, Performance Marketing, PLG, and Data Science to turn briefs and data into automated journeys, experiments, and insights. You will accelerate high-impact AI use cases across Marketing and Growth so teams can do more with less manual work—from faster campaign builds to smarter targeting and experimentation. You’ll transform manual, fragmented workflows into AI-augmented systems that improve both efficiency (time saved) and effectiveness (lift in activation, retention, and revenue) and establish the patterns, tooling, and data foundations that make AI a reliable, everyday part of how Growth operates. This position is an individual contributor role reporting to the Senior Director, Growth Analytics.

Responsibilities

• 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).
• 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).
• 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.
• Partner with marketers and analysts to prototype quickly and run experiments using AI-powered MVPs, measuring impact on conversion, engagement, retention, revenue, and LTV.
• 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.
• Coach marketers and other business stakeholders on how to maintain, upgrade, and improve AI workflows so teams become increasingly self-sufficient over time.
• Partner with IT, Data Engineering, and platform teams to identify gaps and opportunities in data access, tooling, and foundational capabilities across use cases.
• Document patterns, reusable components, and learnings so that successes can be replicated across teams and inform investments in data foundations and AI capabilities.

Requirements

• 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).
• Bachelor’s degree or equivalent practical experience.

Preferred Qualifications

• 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.

Schedule

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 a weekly in-office expectation).

Pay

Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience. Based on applicable legislation, the pay range in California is $164,700.00 - $266,000.00 base salary.

This role is also eligible for the following 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.

This role is eligible to receive Restricted Stock Units (RSUs).

Benefits

• 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.