Engineering Manager, Zus Health
Analytics Engineering
$190-235k
+ Equity
More information about location
Development platform for healthcare startups
Be an early applicant
Development platform for healthcare startups
21-100 employees
Be an early applicant
$190-235k
+ Equity
More information about location
21-100 employees
Company mission
To catalyze healthcare's greatest inventors by maximizing the value of patient insights - so that they can build up, not around.
Role
Who you are
- Expert SQL and analytical data modeling
- Experience with dbt or similar analytics engineering frameworks
- Experience with modern cloud data warehouses and lakes (Snowflake, BigQuery, SparkSQL)
- Deep automation and data reliability practices (testing, monitoring, CI/CD)
- Understanding of modern BI tools and semantic modeling (Sigma preferred)
- Experience building datasets for machine learning or AI systems
- Experience with data transformation and workflow orchestration tools such as dbt and airflow
- Strong hands-on experience building production analytics systems
- Experience working with healthcare data such as FHIR, clinical datasets, or claims
- Experience managing or mentoring analytics/data engineers
- Ability to balance people leadership with hands-on technical work
- Interest in building data systems that enable AI-driven healthcare applications
- You enjoy building and leading teams while still remaining hands-on
- You’ve built analytics systems that power products, workflows, or AI systems—not just dashboards
- You’re excited about using LLMs and agentic AI to improve healthcare workflows and analytics systems
- You like designing clean semantic layers and trusted data models that teams can build on
- You enjoy working in early-stage environments where you can shape architecture, standards, and team culture
- Are in the Boston metro and excited to collaborate in person on a hybrid schedule, or are remote (EST/CST) but willing to travel for in person collaboration occasionally
- 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
What the job involves
- Zus is building a clinical data-first analytics foundation for providers with a focus on value-based care (VBC). Our data powers longitudinal care management across areas like medication adherence, care gap closure, risk stratification, and transitions of care
- We’re hiring an Engineering Manager, to lead this function as a player-coach. This person will grow the team while remaining hands-on in designing and building analytical data products
- This role will shape how analytics engineering enables BI, AI, and agentic systems at Zus by producing high-quality, explainable datasets that accelerate AI-supported healthcare applications
- Build analytics systems
- Design and build production-grade analytical data models and datasets
- Translate healthcare data (FHIR, claims, etc.) into reusable analytics assets
- Develop semantic layers and datasets that power workflows, analytics, and AI/ML applications
- Perform data engineering tasks (data transformation and workflow orchestration) to reliably land these tables
- Enable AI-driven data systems
- Create structured datasets that support model training, feature engineering, and feedback loops
- Partner with AI and Data Science teams to accelerate LLM and agentic AI capabilities
- Own analytics architecture
- Define the analytics-layer architecture from foundational models to workflow-ready datasets
- Partner with Platform Engineering on ingestion, storage, performance, and scalability
- Implement data quality, governance, and observability
- Lead the team
- Hire, manage and mentor analytics engineers
- Establish standards for modeling, testing, and documentation
- Lead through coaching, code reviews, and hands-on technical leadership
Our take
Whilst the healthtech sector is growing fast, the kind of tech needed to build within each healthcare field can be radically different. The result has been that most of these companies develop in a vacuum, with time and resources wasted on unnecessary duplications of tools, data, and backends. Zus is looking to remedy this health data isolation issue by building a shared development platform for healthcare startups.
The idea is that companies will benefit from shared data in the backend - thus bringing down the cost and delays currently involved in setting up individual new companies. Whilst the healthtech boom of recent years is showing signs of abating, at least in the US, it’s still a strong and fertile market with plenty of room for innovation. This should keep interest high for capabilities like those offered by Zus.
Moreover, the company is led by HealthTech veteran Jonathan Bush. His tenure at athenahealth saw it ultimately sold in a $17B private equity deal after becoming a leading healthcare network service provider. With this expertise, a market-accelerating proposition, and impressive partnerships, Zus is becoming an important player.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Mar 2023
$40m
EARLY VC
Jun 2021
$34m
SERIES A
Total funding: $74m
Company benefits
- Equity for all employees
- 401K plan - Complete with generous company match
- Excellent care options - Includes medical, dental, and vision
- Work from wherever - Be it from home, our office, or a hybrid of the two
- Flexible PTO - Hitting reset is strongly encouraged
- Zus-sponsored events - Remote employees are 100% included
Company HQ
Downtown, Boston, MA
Leadership
Jonathan Bush
(Founder & CEO)Originally an army medic, before consulting for a spell and then taking up an MBA at Harvard Business School. Subsequently founded athenahealth, and spent over two decades at the helm as CEO.
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