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Director, Solutions & Forward Deployed Engineering

Job in Chicago, Cook County, Illinois, 60601, USA
Listing for: Zus Health
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Who We Are

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 a Director, Solution & Forward Deployed Engineering to lead the technical delivery of the Zus platform and help customers successfully connect their systems, data, and applications to Zus. Reporting to the Head of Customer Success & Delivery, this role will own how customers integrate with the Zus platform. They’ll be responsible for ensuring healthcare organizations and digital health builders can reliably ingest data, connect EHR systems, and deploy applications powered by Zus APIs.

This leader will oversee teams responsible for forward deployment engineering and technical enablement, working closely with customer engineering teams to integrate Zus into production environments and connect to data networks. You will guide customers through the complexity of healthcare interoperability, helping them translate real‑world workflows into scalable integrations built on Zus. This is a hands‑on player‑coach role. You will lead the team while also personally engaging in complex implementations, architecture discussions, and customer deployments.

You will champion the use of AI tools, automation frameworks, and reusable integration patterns to dramatically improve how quickly and reliably customers connect to the Zus platform. The ideal candidate combines deep experience in healthcare interoperability, enterprise software implementations, API platforms, and AI‑enabled engineering workflows with the leadership skills required to scale a delivery organization.

Key Responsibilities
  • Own the technical delivery lifecycle following contract signature through production deployment and early adoption, and lead and grow a team of Solutions Engineers and Forward Deployed Engineers
  • Develop career paths, performance expectations, and development plans for the team to ensure excellent execution of goals
  • Ensure consistent, high‑quality execution across multiple concurrent enterprise implementations
  • Establish best practices for onboarding, implementation, integration, and go‑live readiness
  • Set customers up for success across multiple different high‑priority use cases
  • Ensure customers achieve rapid time‑to‑value from the Zus platform
Act as player‑coach for complex implementations
  • Personally engage on strategic or technically complex customer deployments
  • Guide integrations involving FHIR, HL7, CCD, APIs, SFTP pipelines, and EHR platforms
  • Troubleshoot complex interoperability and data pipeline issues
  • Work directly with engineering teams to deploy and operationalize Zus products
  • Serve as a trusted technical advisor to customer technical and operational stakeholders
Drive forward deployed engineering
  • Support customers in building production‑grade applications and workflows on top of Zus APIs
  • Help customers operationalize clinical and operational data across care delivery workflows
  • Lead the development of reference architectures and deployment patterns
  • Identify integration opportunities that accelerate product adoption and expansion
Delivery training and technical enablement
  • Oversee technical onboarding and training programs for new customers
  • Enable customer engineering and product teams to effectively build on the Zus platform
  • Develop documentation, workshops, and enablement resources for technical users
Drive AI‑enabled implementation and automation
  • Lead the adoption of AI tools and automation frameworks across the delivery organization
  • Identify opportunities to automate manual implementation work using LLMs, scripting, and developer tooling
  • Develop reusable automation patterns for all parts of the Zus ecosystem
  • Help…
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