Zus Health

Software Engineer

• Own the technical delivery lifecycle following contract signature through production deployment and early adoption
• 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
• 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
• 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
• 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
• 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 customers leverage Zus data to power AI-enabled workflows and analytics applications
• Translate customer implementation patterns into platform improvement
• Participate in technical discussions to find reusable integration patterns that can be embedded directly into the Zus platform
• Communicate customer needs to the Product & Engineering teams

Director, Solutions – Forward Deployed Engineering

Platform Engineer

• Lead and mentor a high-performing team of software developers
• Partner with product managers, engineers, AI/ML experts, healthcare providers and the teams which support them to identify and develop platform use cases, and the associated features and fixes needed to support them
• Take ownership for making sure our business critical services remain safely operational for our customers
• Partner with product management in Agile sprint management rituals
• Work hands on as time allows with Zus codebases

Manager, Platform Engineering

Full-stack Engineer

• Collaborate with our founding product and engineering leaders to bring our vision to the nation’s healthcare entrepreneurs
• Collect health data from a broad range of internal and external sources and making that data useful for users of the Zus platform
• Build tools that interact with external health data networks to collect information about our patients and load it into the Zus data stores at high volume
• Work on data pipelines that operate on large scale data using a variety of AWS services (Step Functions, Lambda, DynamoDB, S3, etc)
• Work on RESTful services that are used both internally and externally
• Deploy, maintain, and operate its pipelines and services

Senior Software Engineer, Data Acquisition

Analytics Engineer

• 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.

Engineering Manager, Analytics Engineering

• Build and operate data services driving our applications and APIs
• Collaborate with team members and across Engineering to iteratively prototype and develop new functionality
• Partner with product managers and other Zusers

Senior Software Engineer, Data Platform

Software Engineer – Platform

Solutions Engineer

• Lead end-to-end onboarding for new customers—from authentication setup to data mart configuration
• Integrate customer systems with Zus (APIs, SFTP, HL7, FHIR—the whole interoperability stack)
• Translate messy business requirements into clean technical architectures
• Build and maintain automated workflows that make implementations faster and more reliable
• Be the trusted technical advisor customers call when things get complicated
• Run technical deep dives and implementation reviews that actually move the needle
• Identify integration risks before they become blockers and solve them proactively
• Train customers on best practices so they become power users, not support tickets
• Use AI tools (LLMs, automation platforms, scripting) to eliminate manual work and scale your impact
• Build templates, scripts, and tooling that make the 10th implementation faster than the 1st
• Document learnings and create repeatable playbooks through automation that make the whole team better
• Partner closely with Product and Engineering to surface integration challenges and opportunities for platform improvement
• Translate real-world customer integration patterns into product feedback and roadmap insights
• Collaborate with R&D teams on emerging capabilities around AI, data pipelines, and developer tooling
• Act as the voice of the customer when identifying opportunities to improve developer experience and reduce integration friction

Solutions Engineer – Delivery & Automation

Sales Engineer

• Lead, mentor, and manage a small team of Sales Engineers, setting clear expectations, coaching on technical depth and customer engagement, and helping the team scale
• Personally drive solution design and technical architecture for complex, high-impact prospects in a healthcare setting
• Own and execute the technical pre-sales motion, from discovery through proof-of-concept and handoff to post-sale teams
• Deliver and oversee technical demos and executive-level presentations to audiences ranging from engineers to C-suite stakeholders
• Design and validate customer integrations with Zus APIs, healthcare data models, and interoperability standards
• Act as the senior technical escalation point for complex integrations, edge cases, and customer challenges
• Develop and standardize implementation patterns, reference architectures, and technical best practices
• Partner with Product and Engineering to translate customer feedback into product improvements and roadmap input
• Ensure a smooth, well-documented handoff from pre-sales to Customer Success and Implementation
• Collaborate cross-functionally to improve go-to-market strategy, technical enablement, and sales effectiveness
• Balance leadership with execution—jumping in wherever needed to help the team and the company move fast

Director of Sales Engineering, Solution Design

• Build and operate data services driving our applications and APIs
• Collaborate with team members and across Engineering to iteratively prototype and develop new functionality
• Provide technical leadership, contributing to the architecture and design of the teams systems
• Coach others to become better engineers
• Partner with product managers and other Zusers