AI Systems Lead

About ExaCare AI ExaCare AI is a leading health tech company on a mission to build the AI operating system for post-acute care. Our platform turns messy, unstructured referral packets into clear clinical insights and next steps, so teams can make faster, safer placement decisions with less administrative burden. Today, ExaCare AI powers more than 1,500 facilities, and is growing rapidly.

We recently raised a $30M Series A led by Insight Partners, and are bringing world-class talent together to transform healthcare. If you like building, learning, and want to make a real impact, come join us!

About The Role ExaCare 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, RevOps, Growth, BizOps, and more, and is responsible for designing and implementing the systems, workflows, and data infrastructure that drive efficiency across the company. We are looking for someone to own, stand up, and grow this function. This is a mission critical role needed for ExaCare to sustain and accelerate its current growth trajectory and will play a central part in shaping how ExaCare scales over the next several years.

Working closely with the leadership teams, this individual will focus on building the systems, workflows, and internal tooling necessary to enable our team to operate efficiently. They will be tasked with thinking through how we can feasible go from 1,500 facilities to more than 10,000 facilities. This person will be foundational in identifying operational bottlenecks and leveraging data and insights to improve how our teams work and implement scalable solutions that increase the speed and capacity needed for ExaCare to achieve its goals. This is a hands-on builder role. You will be expected to design, prototype, and ship systems directly, not just define requirements or manage projects. Success is defined by how much time is saved across teams and how effectively AI is embedded into day-to-day workflows.

This role requires a highly technical operator who can move between strategy and execution, build systems end to end, and work cross-functionally to deploy scalable solutions and is motivated by building the foundational systems.

What You’ll Do

• Design, build, and deploy internal tools, data pipelines, and AI workflows that are used daily across sales, ops, and product

• Work directly with teams across BizOps, Sales, Product, and Data to identify problems and ship solutions, including but not limited to:

• BizOps - customer onboarding capacity tools and automation of manual implementation tasks
• Sales - Knowledge transfer systems, data aggregation, and playbooks across the sales lifecycle
• Product - Build systems to track customer requests, feature demand, and shifting timelines to help prioritize product roadmap

• Data - Build and 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 as we continue to expand our product and verticals; this could include establishing new processes, adoption of third-party tools, internal automation or other development, new role hirings
• Own and prioritize the roadmap for operational improvements across functions, ensuring the highest impact initiatives are executed as the company scales
• Standup, manage, and grow the AI Strategy & System function and team

What You’ll Bring

• 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
• A strong track record of moving from problem identification to successful implementation, especially in ambiguous environments, with the ability to go 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,…