Docusign is looking to solve the problem of accelerating the process of doing business and simplifying people's lives by leveraging AI technology to drive its Intelligent Agreement Management platform.
Requirements
- 12+ years in production software, with 7+ years focused on ML and AI systems
- 10+ years of engineering leadership, including experience scaling and leading large, high-performing teams (100+)
- Proven track record as a founder, early technical leader, or principal engineer on an AI-first product that achieved PMF (sustained growth, $5M+ ARR, or NPS >40)
- Deep expertise in modern LLM architectures, RAG, orchestration frameworks, and MLOps
- Fluency in at least two of: Python, Go, Rust, TypeScript, with hands-on experience in MLOps practices
- Published contributor to AI research, OSS, or community forums
- Prior experience in B2B SaaS or workflow automation
Responsibilities
- Lead and grow a 100+ person GenAI organization of highly skilled engineers, researchers influence product leaders, setting a high technical bar while fostering a culture of speed, experimentation, and accountability
- Drive the 0→1 and 1→n journey for GenAI features and agentic workflows central to our IAM strategy, translating technical breakthroughs into products that win in market
- Establish measurable PMF metrics, run fast-paced market experiments, and pivot strategies as needed without ego
- Lead at scale, expect to stay technically sharp—whether reviewing code, guiding architecture, or prototyping with modern LLM stacks
- Guide teams on foundation model selection, fine-tuning strategies, retrieval pipelines, and robust governance including security, compliance, and risk controls
- Collaborate cross-functionally with Security, Legal, and vendor partners to optimize for cost, performance, and compliance
- Represent Docusign’s AI leadership internally and externally, whether through keynotes, open-source contributions, or industry partnerships
Other
- Bachelor's, Master's, or PhD degree in CS, EE, or equivalent experience
- Ability to work in a hybrid environment with a minimum of 2 days per week in-office
- Ability to travel as needed
- Strong communication and collaboration skills
- Ability to work in a fast-paced environment with multiple priorities and deadlines
