AI Systems Lead

Exa Care AI is hiring an AI Systems Lead to build and operate the internal AI engine that powers how the company scales. This cross‑functional role sits across Sales, Rev Ops, Growth, Biz Ops, and more, and is responsible for designing and implementing the systems, workflows, and data infrastructure that drive efficiency across the company.

As a hands‑on builder, you will design, prototype, and ship systems directly, not just define requirements or manage projects. You will work closely with leadership teams to ensure AI is embedded into day‑to‑day workflows and drive time savings across teams.

• Design, build, and deploy internal tools, data pipelines, and AI workflows used daily across sales, ops, and product.
• Work directly with Biz Ops, Sales, Product, and Data teams to identify problems and ship solutions, such as:
  • Biz Ops: customer onboarding capacity tools and automation of manual implementation tasks.
  • Sales: knowledge transfer systems, data aggregation, and playbooks across the sales lifecycle.
  • Product: systems to track customer requests, feature demand, and shifting timelines to prioritize the product roadmap.
  • Data: own the company’s source of truth across data sources.
• Identify manual, repetitive, or fragile workflows and develop scalable solutions through automation, internal tooling, and process redesign.
• Use data and operational insights to identify risk areas, surface opportunities, and recommend improvements, potentially defining new processes, adopting third‑party tools, or hiring new roles.
• Own and prioritize the roadmap for operational improvements across functions, ensuring the highest impact initiatives are executed as the company scales.
• Stand up, manage, and grow the AI Strategy & System function and team.

• 5+ years of experience in management consulting, strategy, business operations or similar functions in high‑growth tech‑forward environments.
• Experience in a high‑growth tech SaaS environment is strongly preferred.
• Bachelor’s degree in Business, Engineering, CS, or a related field.
• Strong track record of moving from problem identification to successful implementation, especially in ambiguous environments, with the ability to dive deep into operational details.
• Experience building or improving systems, workflows, and operational processes that support scale.
• Demonstrated ability to work on and understand technically complex projects.
• Experience designing system architecture for internal tools, including data flow, dependencies, and scalability considerations.
• High comfort building with APIs, LLMs, data pipelines, and automation tools, with a bias toward hands‑on implementation.
• Prior experience managing teams and leading cross‑functional initiatives with significant ownership.
• Excellent communication and stakeholder management skills.
• Competitive salary and equity in a high‑growth startup.
• Flexible PTO, take what you need.
• Medical, dental, and vision coverage.
• Great startup culture, including company off‑sites.
• High‑achieving team, including ex‑Amazon engineers and alumni of Bain, BCG, Goldman Sachs, and more.

If this sounds like you, we'd love to have a chat!