AI Strategist

About Us

We're building Governed Truth Infrastructure for agentic AI in regulated industries - banking and insurance first - through a three-function architecture: Seal, Enforce, Prove. Two patents are already pending on the core architecture, on top of the registered patents already backing our technology. Design partners are live in production - real logos, real ARR targets.

And we're building it for the people actually shipping this future: the developers, AI engineers, forward-deployed engineers, and AI strategists building and governing agents that do real work for their organizations and their clients. The FDE is now the fastest-growing role in tech - postings up 700%+ year over year (Indeed

• Live Data Technologies, 2026). They all need a platform they can trust. That's what we're building.
  
  

• Develop a deep understanding of customer workflows, requirements, constraints, and goals.
• Identify and prioritize high-value opportunities for applying AI.
• Translate ambiguous business needs into clear solution plans, requirements, and success criteria.
• Design and validate solution concepts through prototypes, demonstrations, and structured evaluations.
• Define prompt, context, workflow, and evaluation approaches for AI-powered solutions.
• Coordinate stakeholders and maintain alignment throughout implementation.
• Guide trade-offs across speed, quality, reliability, scalability, governance, and customer impact.
• Identify and resolve risks or blockers that could affect successful delivery.
• Measure solution performance, adoption, and business value.
• Turn recurring customer needs and implementation lessons into reusable capabilities and best practices.
  
  

• 5+ years in product management, solutions engineering, technical consulting, technical program management, or another customer-facing technical role.
• Experience taking complex software, data, machine-learning, or AI initiatives from concept through production and adoption.
• Strong applied AI fluency, including familiarity with LLMs, agents, retrieval, tool use, prompt and context engineering, evaluations, and human-in-the-loop workflows.
• A first-principles approach to turning ambiguous problems into practical, applicable solutions.
• Strong product and systems judgment.
• The ability to connect technical decisions to customer and business outcomes.
• Excellent communication skills across technical and non-technical audiences.
• High ownership, attention to detail, and follow-through.
• Comfort operating in a fast-moving environment with evolving priorities.
• Excellent written and spoken English.
  
  

• Experience using Python, SQL, APIs, or modern AI tools to prototype and validate ideas.
• Experience with workflow automation and orchestration tools (e.g., UiPath, n8n, Make, Power Automate, or Zapier)
• Experience in financial services, insurance, or another regulated industry.
• Familiarity with policy, compliance, risk, or other rules-driven workflows.
• Experience working with enterprise requirements such as security, privacy, data governance, and system integrations.
• A degree in computer science, data science, engineering, or another relevant technical or quantitative field, or equivalent hands-on experience.