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
3 Minutes Ago
Artificial Intelligence • Cloud • Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Provide consultative reporting and analytics for large Group Benefit Solutions clients, translate claims data into actionable insights, develop and present recommendations, build new reporting capabilities, collaborate with underwriting and account teams, troubleshoot data issues, and support operational improvement and analytics projects.
Top Skills:
AccessExcelMicrosoft SqlPower BIPowerPointRedshiftSASTableau
Financial Services
Leads software engineering for a large-scale Apache Cassandra platform. Designs and delivers automation, self-service tooling, infrastructure frameworks, and cloud capabilities across private and public environments. Partners with engineering teams to improve developer velocity, code quality, resiliency, security, and customer experience. Applies AI-assisted infrastructure practices with validation, auditability, and data-sensitivity controls. Requires expertise in software development, databases, Linux, distributed systems, configuration management, and Database Reliability Engineering.
Top Skills:
AnsibleApache CassandraAPIsArtificial IntelligenceCloud ComputingConfiguration ManagementDistributed SystemsDynamoDBJavaLinuxPythonSaltstackSpring BootSpring FrameworkVirtualization
Healthtech • Pet
Own clinic communications, customer case studies, engagement programs, pet-parent educational content, partner resources, and scalable content processes. Collaborate with Product, Customer Success, Growth, sales, veterinary experts, and external partners to create and distribute content across products and marketing channels. Manage video production, vendors, budgets, editorial workflows, and performance measurement while strengthening Vetcove’s brand presence.
Top Skills:
CRMMobile PlatformsVideo Production
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
