Director of AI

About Us

This organization is building a parallelized layer 1 blockchain. By re-writing the most widely adopted execution environment in Web3 it is setting a new standard in blockchain performance and scalability. Applications benefit from both the performance of web2 and the decentralization and sovereignty of web3. For more detailed information visit the official website.

About the role

We are hiring our 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. Its 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.

Youll 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 youll 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.

Responsibilities

Workflow Audit & Opportunity Mapping

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

Prompt Engineering & Workflow Design

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

Automation & Systems Building

Implement AI-driven automation for recurring processes including reporting pipelines research summaries meeting prep and post-meeting follow-through

Integrate AI tooling across the organizations existing stack (Slack Notion 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

Enablement & Organizational Adoption

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 organizations 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

Measurement & Iteration

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

What Were Looking For

Professional experience with deep hands-on daily usage of AI tools in real work contexts - youve 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 dont wait for direction and you dont declare victory until its in production and being used

Comfort working in a fast-moving ambiguous environment where priorities shift and execution speed is a competitive advantage

Bonus Points

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