Director of Optimization and AI

About

is a rapidly growing healthcare AI startup helping leading health systems optimize their operations. Our platform is already in use at major health systems and large networks such as Mayo Clinic and Geisinger, and we are backed by world-class funds including NFX and Grove.

We are looking for a
Director of Optimization and AI
to lead the core intelligence of our platform, own our algorithmic and AI capability and strategy, and scale our models into real world impact. This is a senior leadership role, responsible for two teams, an Algorithmic Optimization team and an AI / ML team, with overall responsibility for a group of around 10 people. The Director will shape the structure of the group.

What you will do

• Lead the design and implementation of advanced algorithms for planning, scheduling, and resource allocation in complex, constrained environments with significant uncertanty.
• Own the end-to-end lifecycle of predictive models and optimization engines, from research and design to production deployment and monitoring at scale.
• Build, manage, and grow two high-performing teams, one focused on algorithmic optimization and scheduling and one focused on AI and ML, with overall responsibility for a group of about 10 engineers and researchers.
• Set technical strategy and roadmap for algorithms and AI across the company, in close collaboration with product, engineering, and customer-facing teams.
• Work with leadership to translate real-world hospital and health system challenges into robust algorithmic and AI solutions that deliver measurable value.
• Define and build a scalable algorithmic and data infrastructure that can support rapid experimentation and production workloads.
• Drive innovation in the use of LLMs and modern AI for both internal tools and customer-facing capabilities.

What you bring

• 10+ years of experience in startups, working on complex algorithmic or AI-driven products.
• Strong background in algorithm design for planning, scheduling, and automatic assignments, including work with advanced optimization and operations research methods.
• Hands on experience with tools and libraries such as
  OR-Tools, Gurobi, CPLEX, Hexaly, Fico
  or similar optimization engines.
• Practical experience with
  regression and classification models
  based on both tabular and non tabular data (structured and unstructured).
• Solid background in
  LLMs
  and modern deep learning, and how to apply them to real products.
• Proven ability to bring models into
  production environments
  , including performance, reliability, and observability at scale.
• Experience operating at large scale, handling high volumes of data and traffic, and designing for reliability and cost.
• Both strong
  scientific and algorithmic thinking
  and deep
  engineering understanding
  , comfortable moving between research and implementation.
• 5+ years of experience managing and leading teams, including hiring, mentoring, and growing senior talent, preferably at the level of multiple teams or a group.
• Strong familiarity with
  cloud services
  (such as AWS, Azure or GCP) and modern data and ML infrastructure.
• Proven track record building
  scalable algorithmic infrastructure
  and leading in environments with constraints, uncertainty, and changing priorities.
• Entrepreneurial mindset
  , comfortable working with ambiguity, building processes from scratch, and adjusting course quickly.

Why join us

At you will see your work deployed in real hospitals and health systems, improving the daily lives of clinicians and patients. You will lead the heart of our technology, collaborate with a talented and mission driven team, and work with world class partners and health networks. If you want to build world class AI and optimization at scale and help shape the future of healthcare operations, we would love to talk.