Works with clients to understand workflows, explain healthcare data APIs and exports, configure custom data solutions, document integrations, troubleshoot technical issues, and translate customer needs into requirements for product and engineering teams. The role also implements last-mile integrations and uses AI tooling to improve issue remediation.
Work Location: US (Remote)
About Candor Health
Candor Health is a healthcare intelligence platform that is powering companies with high quality, transparent, and actionable data in the US on doctors, facilities, insurance plans, costs, and more. We believe that providing higher quality, transparent data not only leads to better decisions, but creates greater trust and confidence for the entire healthcare ecosystem. We are getting data from a variety of growing sources including certification boards, booking sites, claims, social media, and others, with human and automated verification. We have built a high quality data set that has been baked off favorably against other healthcare data vendors, including public companies and startups that have been compiling healthcare data for many years. We are backed by some of the most prominent VCs and angels in healthcare who have a track record of building very successful technology companies.
Life at Candor
At Candor, everyone is a leader. The areas you own are yours to build and progress. Best ideas win! We value a culture where the team not only enjoys working together solving some of the biggest data challenges in the healthcare industry, but also has fun doing it. Building a great company is hard work but work-life balance is also important.
Responsibilities
- Join client calls to understand unique customer workflows and business requirements
- Ideate and collaborate with internal engineering teams on how to best implement Candor's healthcare data into client systems
- Serve as the technical expert explaining our API, flat file exports, and UI capabilities to customers
- Maintain and update clear technical documentation, integration guides and solution proposals for our clients and prospects
- Set up and configure custom data exports tailored to individual client needs
- Implement last-mile technical solutions to ensure seamless data integration for clients
- Collaborate closely with product, data, and engineering teams to translate customer needs into technical requirements
- Troubleshoot integration issues and provide timely resolution to customer technical challenges
- Leverage AI tooling, create and refine shared skills to effectively to improve the quality and velocity of our remediation of client issues
Qualifications
- 3+ years of experience in forward deployed engineering, solutions engineering, technical consulting, or other customer-facing technical roles
- Experience in writing SQL queries for data validation, transformation, and troubleshooting
- Comfortable in a terminal, reading code, and working with APIs
- Skilled at explaining complex technical concepts to both technical and non-technical stakeholders
- Hands-on experience with structured data formats (JSON, CSV, XML) and relational databases
- Experience in tracking down critical issues and client questions, being the point person for client escalations
- Excellent communication skills with a customer-first mindset; skilled at active listening and translating customer needs into technical solutions
- Proactive in identifying opportunities for product improvements, technical automation, or enhanced customer outcomes
- Experience with healthcare tech is a plus
Similar Jobs
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead development of Atlassian’s Digital Success OS by defining data foundations, telemetry pipelines, AI-agent signals, journey orchestration, and digital-to-human handoffs. Partner with data engineering, analytics, data science, AI, RevOps, and customer success teams to operationalize customer plays, predictive models, experimentation, measurement, and feedback loops. Own cross-functional decisions, architecture principles, dependencies, and change control while improving adoption, engagement, churn-risk detection, agent effectiveness, and customer outcomes at scale.
Top Skills:
A/B TestingAi-Agent WorkflowsApis And IntegrationsData PipelinesDatabricksEtl/EltGainsight Journey OrchestratorModel EvaluationNlpPromptsRetrievalRules EnginesSalesforceSchemasSentiment AnalysisSQLTableauTelemetry Pipelines
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Leads and develops software engineering teams responsible for customer acquisition, experimentation, personalization, and SEO/AEO features. Owns delivery outcomes, prioritization, technical strategy, architecture, system resilience, engineering excellence, and team health. Partners with product managers, TPMs, designers, and recruiting teams while guiding distributed systems, cloud infrastructure, developer tooling, and applied AI/ML initiatives.
Top Skills:
Ai AgentsAi Evaluation FrameworksAi/MlAWSAzureCi/CdDistributed SystemsGCPLlmsMcpRag
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead the vision, strategy, and roadmap for AI experiences across Atlassian’s core products. Partner with engineering, design, data science, platform, and product teams to deliver intuitive AI features, accelerate adoption, define success metrics, gather customer feedback, and iterate based on data. Serve as an AI product leader, mentor stakeholders, communicate with executives, and drive innovation across a global software portfolio.
Top Skills:
Artificial IntelligenceMachine Learning
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
