Want to know if this job is worth applying to?
New York, New York, United States
Onsite
Sei is the first parallelized layer 1 blockchain. By re-writing the most widely adopted execution environment in Web3, Sei is setting a new standard in blockchain performance and scalability. Apps on Sei benefit from both the performance of web2 and the decentralization and sovereignty of web3. For more detailed information visit Sei's official website.
The Sei Development Foundation is hiring its first Director of AI - the person who transforms how the organization works by embedding AI into the daily operating fabric of every team. This is not a research role or a content role. It’s a strategy and execution role: you will audit how work gets done, identify where AI can meaningfully accelerate it, and build the workflows, prompts, and systems that make those gains permanent and scalable.
You’ll start by working closely with founders and leadership, shipping quick wins in the first two weeks and a full AI playbook within 90 days. Over time, you’ll become the organizational standard-bearer for AI adoption, the person everyone comes to when they want to work faster and think sharper. The right candidate has already built this kind of system for themselves or for a previous organization and can prove it.
Conduct a rapid audit of current AI usage and operational workflows across the organization, identifying the highest-leverage opportunities for improvement
Build a prioritized roadmap of AI implementation opportunities ranked by time savings, output quality, and strategic impact
Identify recurring bottlenecks in research, reporting, communications, and decision-making that are strong candidates for AI-assisted automation or augmentation
Design, test, and iterate on prompts and prompt chains that deliver reliable, high-quality outputs for specific business functions (research synthesis, executive briefings, partner outreach, content drafts, etc.)
Build and document repeatable AI workflows for core operating functions including reporting, analysis, planning, and communications
Develop systematic evaluation criteria for AI output quality and reliability, so the organization knows when to trust AI outputs and when to verify
Maintain a living prompt library organized by function, with version history and performance notes
Implement AI-driven automation for recurring processes including reporting pipelines, research summaries, meeting prep, and post-meeting follow-through
Integrate AI tooling across the organization’s existing stack (Slack, Notion, Monday.com, Google Workspace, etc.) to reduce manual handoffs and eliminate repetitive work
Evaluate and recommend new AI tools and platforms, with a clear framework for build vs. buy vs. configure decisions
Identify where agentic workflows can replace multi-step manual processes and scope those builds
Train founders, leadership, and cross-functional teams on AI tools, workflows, and best practices, meeting each team where they are and making adoption feel obvious, not obligatory
Build and maintain the organization’s AI playbook: a living, searchable reference that codifies best practices, approved prompts, and role-specific workflows
Create lightweight documentation and training materials that allow any team member to self-serve on core AI workflows without needing ongoing support
Track and report on key AI adoption metrics: hours saved on recurring work, output quality and consistency, team workflow adoption rates, and number of processes meaningfully improved or automated
Run a continuous improvement loop, ship, measure, learn, and iterate on all AI workflows based on real usage data and team feedback
Report directly to founders on AI impact and the organizational adoption roadmap
Professional experience with deep, hands-on daily usage of AI tools in real work contexts - you’ve built systems that demonstrably improve the quality and speed of your own work, and you can show them
Hands-on experience with agentic frameworks Proven track record of implementing AI workflows in real organizations with measurable impact - not pilots, but production systems that teams actually use
Strong prompt engineering skills: you understand how to structure context, chain reasoning, control output format, and evaluate reliability across models (GPT, Claude, Gemini, etc.)
Systems thinker: you see workflows as interconnected processes, not isolated tasks, and you design solutions that scale beyond the immediate problem
Exceptional communicator with a track record of translating complex AI concepts into clear, practical guidance for non-technical stakeholders, including C-suite
Background in operations, product, strategy, or engineering - you understand how organizations work and where friction lives
High ownership mentality: you don’t wait for direction and you don’t declare victory until it’s in production and being used
Comfort working in a fast-moving, ambiguous environment where priorities shift and execution speed is a competitive advantage
Engineering background or scripting proficiency (Python, JavaScript) - the ability to build lightweight integrations rather than relying solely on no-code tooling
Experience in crypto, Web3, or high-growth tech environments where the pace of change is a constant
Previous experience building internal AI capability at a startup or foundation, where you owned the function from scratch