Sr. AI GTM Engineer

Company Overview 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. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM). What you'll do 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, 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. ​ Responsibility 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 Job Designation 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 weekly in-office expectation) Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law. What you bring Basic 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 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 Wage Transparency 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 below details pay ranges in the following locations: California: $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. Stock: This role is eligible to receive Restricted Stock Units (RSUs). Global benefits provide options for the following: 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 Life at DocuSign Working here Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal. We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live. Accommodation Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at [email protected]. If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at [email protected] for assistance. Applicant and Candidate Privacy Notice States Not Eligible for Employment This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming. EEO Statement It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category. 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