• Use Case Identification & Prioritization: Work closely with team members across marketing to identify the highest-value opportunities to improve efficacy and efficiency through AI, data, and automation. Evaluate and prioritize use cases based on potential impact, feasibility, and data readiness, and maintain a clear roadmap of initiatives communicated to stakeholders. Stay current on the evolving AI tool landscape and bring forward-looking recommendations on where to invest next. • Data Strategy & Sourcing: For each priority use case, determine what data is needed to drive the best outcome, whether from the CRM, intent platforms, engagement tools, third-party sources, internal assets, etc. Work cross-functionally with RevOps, Sales, and IT to pull relevant data together in a structured and accessible way. • Automation & Agentic Workflow Building: Partner with marketing stakeholders to design and build automation and agentic workflows that improve the quality and speed of their work. Use Claude, Claude Code, Claude Workspace, and related tools to create working solutions — from prompt-driven workflows to multi-step agentic processes that run with minimal manual intervention. Iterate on deployed workflows based on real usage and outcomes, continuously improving impact. • AI Capability Repository & Enablement: Architect and maintain a central repository of AI capabilities, skills, prompts, and reference assets that the marketing team can access, reuse, and build on. Establish standards and lightweight governance for how the marketing org uses AI tools — ensuring alignment, consistency, and scalability as usage grows. Enable team members to adopt new workflows and build their own AI fluency through documentation, training, and hands-on support. Ensure that knowledge and solutions developed for one function are systematically available to the rest of the team, preventing duplicate effort and compounding gains over time.

• The AI Solutions Lead is responsible for driving applied AI outcomes across business units • A phased build of a cross-platform data + knowledge aggregator for customer-facing teams • Manage customer intelligence platform focused on support and optimization • Conduct AI maturity assessments and build tools for high-ROI opportunities as directed • Establish feedback loops and develop governance guidelines for the group • Facilitate AI workshops and coaching across the portfolio

Role Description We are building a small, high-impact team of problem-solvers, builders, and operators who will help us transform and evolve in the AI era. This is not a traditional role with narrowly defined responsibilities. You will join a cross-functional transformation squad focused on: - Identifying inefficiencies - Challenging legacy workflows - Implementing AI-powered solutions that create measurable business impact What matters the most: - Ability to solve real problems in a variety of different departments across the organization - Be agile and forward-thinking - Not to be tied to legacy systems and processes - Be innovative and propose creative solutions - Adaptability We are looking for people who naturally ask: “Why do we still do it this way?” and then help build something new and better. Qualifications - Self-directed and sufficient - Comfortable with ambiguity - Strong problem-solver with analytical thinking - Able to communicate clearly with both technical and non-technical teams - Continuously curious about AI and emerging technologies - Fast learner who enjoys figuring things out - Not attached to “this is how it’s always been done” Requirements - Experience with AI tools (Claude Code, Claude Cowork, Gemini, n8n, etc.), automations, agents, or workflows - Vibecoding - Process redesign experience - SQL / Python / no-code automation tools - Experience leading change initiatives Benefits - We promise to give your candidacy a fair and detailed assessment. - We do not make offers without giving you the opportunity to speak with us live.

• Strategy — Refine the ICP, pricing model, and product positioning • Customer Development — Lead pilots with practice owners and revenue cycle leaders, convert them to paid engagements, and build the go-to-market motion • Product — Partner with the FutureSight product and engineering team to ship V1 and iterate on user feedback • Capital — Lead the seed raise, supported by FutureSight's network and traction • Team — Recruit and lead the founding team, and establish the cultural foundation of the company