Jobs at Candid Health

The BDR Manager will lead pipeline generation and qualification efforts, develop teams, implement AI-driven strategies, and partner with Sales and Marketing to enhance GTM effectiveness.

Build and maintain Candid Health's front-end product, ensure UX consistency, interact with customers to solve pain points, choose front-end libraries and tooling, implement profiling/monitoring, and improve front-end devops.

Oversee the Forward Deployed Engineering team, managing complex customer deployments, ensuring technical quality, and driving strategic alignment with various teams to enhance platform efficacy and client success.

Lead ABM strategy and campaigns for strategic enterprise accounts. Collaborate with Sales and RevOps to drive pipeline growth and revenue impact through targeted, personalized marketing initiatives.

The Head of Sales Operations will lead sales operations, manage GTM functions, optimize tech stack, and provide insights to executives.

The Office Administrator will maintain a clean and organized office, manage supplies, arrange meeting rooms, and handle deliveries. Strong organizational and communication skills are essential.

The Executive Business Partner will provide strategic support to the executive team through calendar management, daily operations, project coordination, and travel logistics, while contributing to company culture and team events.

The Executive Business Partner provides high-level support to executives, managing schedules, travel logistics, and internal operations to optimize leadership productivity.

Lead product marketing for an enterprise B2B SaaS revenue-cycle automation platform: develop GTM and launch plans, create positioning and messaging, run integrated campaigns, produce enablement assets, build the PMM function, and generate customer advocacy and case studies.

Lead planning and execution of large-scale technical initiatives, align Engineering/Product/Design with Operations, translate customer needs into technical requirements, manage dependencies, mitigate risks, and report program health to leadership.

The Senior Product Manager will enhance product practices, execute product vision with teams, manage reporting dashboards, and prioritize user needs to drive business goals.

As a Senior Software Engineer, you will design, develop, and maintain scalable healthcare billing solutions, collaborating with teams to enhance products and user experience.

The Forward Deployed Software Engineer will design technical solutions, collaborate with cross-functional teams, and partner with clients to solve real-world problems in the product.

The Software Engineer will design, develop, and maintain software for healthcare billing products, collaborate with teams, ensure high scalability and reliability, and contribute to the engineering culture.

Candid Health is hiring for a Customer Support role to provide high-quality support, collaborate with various teams for issue resolution, and create internal efficiency processes. The ideal candidate has 3-6 years of relevant experience in healthtech support and excellent communication skills.

The Engineering Manager will lead technical teams, oversee project implementations, manage cross-functional collaboration, define product strategies, and mentor team members in achieving high-quality outcomes.

In this role, you'll manage customer portfolios, diagnose issues, propose operational and product solutions, and help improve revenue cycle outcomes.

Design, build, and support data infrastructure and pipelines for operational and analytics workflows. Collaborate with product, engineering, and customers to deliver scalable, secure, performant data products; own BI, streaming, ETL, and deployment practices; promote trusted, accessible data and drive data team outcomes.

The Engineering Leader will oversee infrastructure and platform teams, managing projects, mentoring engineers, and defining technical strategies for scalable systems.

The Analytics Engineer will build data models and pipelines for reporting and analytics, improving data infrastructure for ML and AI products, and setting processes for data collection and analysis.