Manager, AI and Innovation
Boston, MA
- Remote-first
- Website
- @ZusHealthHQ 𝕏
- Search
Zus Health
Zus is a shared health data platform designed to accelerate healthcare data interoperability by providing easy-to-use patient data via API, embedded components, and direct EHR integrations. Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus partners with HIEs and other data networks to aggregate patient clinical history and then translates that history into user-friendly information at the point of care. Zus's mission is to catalyze healthcare's greatest inventors by maximizing the value of patient insights - so that they can build up, not around.
What we're looking for:
We are seeking an experienced leader to head and expand our AI Innovation team. This team leverages the latest AI/ML tools to develop novel products and capabilities for healthcare providers. The successful candidate will be instrumental in defining our AI strategy and product innovation. This position requires close cross-functional collaboration with product, engineering, and healthcare domain specialists to implement intelligent features that enhance care delivery for providers at both individual patient and population health levels.
In addition to providing high-level leadership, you will lead by example: providing technical direction, mentoring data scientists and engineers, and contributing to the development, deployment, and optimization of novel features across our platform.
As part of our team, you will
- Lead and mentor a high-performing AI innovation team.
- Partner with product managers, engineers, and healthcare providers to identify high-impact opportunities. Rapidly prototype and iterate on AI-driven features to deliver real-world value.
- Design, train, and fine-tune machine learning models, particularly LLMs, to support search, summarization, clinical reasoning, and other core use cases.
- Lead the development of scalable and automated infrastructure for feature deployment, improvement, and monitoring. Own end-to-end model lifecycle in a production environment.
- Collaborate with data engineers to create robust, scalable data pipelines and ensure the quality, integrity, and accessibility of data for training and evaluation.
- Stay on the cutting edge of AI, particularly in NLP and LLM research. Translate breakthroughs into practical, scalable solutions.
- Act as a key technical leader across engineering, product, and design teams. Translate complex capabilities into user-first features.
You're a good fit because
- 5+ years of experience in machine learning and AI, with 2+ years in a technical leadership or people management role.
- Proven experience developing novel features with advanced technologies and deploying them in real-world applications.
- Strong understanding of MLOps tools, workflows, and production AI systems.
- Experience with CI/CD pipelines, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker, Kubernetes).
- Knowledge of natural language processing (NLP), including embeddings, retrieval-augmented generation (RAG), and prompt engineering.
- Demonstrated success delivering AI products in collaborative, cross-functional environments—healthcare experience is a plus.
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.
- BS or higher in a technical field; MS or PhD is a plus.
Why Zus?
- Shape the future of healthtech at the intersection of LLMs and real-world healthcare.
- Work with a mission-driven, deeply collaborative team in Boston.
- Help build ML products that have a measurable impact on clinicians and patients.
We will offer you…
• Competitive compensation that reflects the value you bring to the team a combination of cash and equity• Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO• Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it)
Please Note: Research shows that candidates from underrepresented backgrounds often don’t apply unless they meet 100% of the job criteria. While we have worked to consolidate the minimum qualifications for each role, we aren’t looking for someone who checks each box on a page; we’re looking for active learners and people who care about disrupting the current healthcare system with their unique experiences.
We do not conduct interviews by text nor will we send you a job offer unless you've interviewed with multiple people, including the Director of People & Talent, over video interviews. Job scams do exist so please be careful with your personal information.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AI strategy APIs AWS Azure CI/CD Data pipelines Docker Engineering GCP Kubernetes LLMs Machine Learning ML models MLOps NLP PhD Pipelines Prompt engineering RAG Research
Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Flex vacation Health care Unlimited paid time off
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.