Chief Technology Officer (CTO) – Data-as-a-Product / API Platform | GCP, PostgreSQL — Los Angeles, CA

Location: Remote currently; Los Angeles-area candidates strongly preferred. The Product and Engineering teams are expected to transition to regular in-person collaboration, with a goal of approximately two days per week. A permanent office location has not yet been determined, and the team currently uses flexible LA-area co-working locations.

KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Chief Technology Officer (CTO) – Data-as-a-Product / API Platform

Compensation depends on experience but is typically $215,000 - $235,000/yr, plus a profit-sharing bonus opportunity and equity.

Chief Technology Officer (CTO)

Our client is a growing technology company building data and API infrastructure that connects healthcare providers and technology platforms with insurance payers. The platform aggregates information from disparate payer sources, normalizes that data, and makes it reliably accessible to customers through APIs and automation.

As the company enters its next phase of growth, it is evolving its technology platform to support significantly greater enterprise scale and becoming increasingly focused on data as a core product.

We are looking for a Chief Technology Officer (CTO) to lead the company’s engineering and data organizations through this next phase. Reporting to the CEO, you will own technology strategy and execution across payer connectivity, API infrastructure, normalized data, and future intelligence capabilities. You will partner closely with Product and the Executive team to strengthen the platform, turn data into a compounding asset, and build an engineering organization that can scale with the business. This is a hands-on executive role for a platform-fluent, data-minded leader who can move between architectural detail, team leadership, customer needs, and board-level strategy.

What You’ll Own:

Platform Strategy & Scale: Set and deliver the technical strategy for the company’s mission-critical payer connectivity and API platform. Assess and evolve the existing GCP-based cloud and data environment, which currently includes a mix of Firebase/NoSQL, PostgreSQL, and Snowflake, and define the appropriate future-state architecture for enterprise scale. Build for reliability, uptime, throughput, latency, observability, developer experience, and efficient unit economics.

Data & AI Foundation: Turn high-volume operational transactions into trusted, governed, and queryable data. Define the path from fragmented payer inputs—including data acquired through APIs, portal automation, web scraping, and document-based sources—to normalized data models and a scalable data foundation. Establish the architecture needed to support customer-facing intelligence and practical AI capabilities that improve products and operations.

Engineering Organization & Operating System: Lead as a strategic player-coach. Establish clear decision rights, planning rhythms, accountability, and delivery practices; recruit and develop exceptional engineers; and build a high-trust culture that can scale through the next stage of the company.

Reliability, Quality & Security: Make reliability and quality shared engineering responsibilities across the full pipeline, from automated testing and deployment controls to ingestion validation, incident response, and self-healing systems. Ensure the appropriate technical posture and controls are in place to maintain applicable security and regulatory requirements as the company grows, partnering with internal and external security and compliance resources.

Executive & Commercial Leadership: Partner with Product on roadmap and platform decisions and with Finance, Legal, Revenue, customers, and the board on tradeoffs, risk, cost, and opportunity. Translate technical choices into clear business implications and help shape company strategy without requiring constant founder intervention.

What You’ll Bring:

8+ years of technical leadership experience; experience operating in a startup environment strongly preferred. Experience helping scale a venture-backed company through a significant growth stage is a plus.

A track record as a CTO, VP of Engineering, Head of Engineering, or senior technical architect in an API-first, data infrastructure, healthcare technology, or complex automation business. Experience building or scaling a business where data or APIs are externally delivered products—not solely internal data initiatives—is essential.

Hands-on technical depth in mission-critical API platforms and production data systems, including data ingestion and pipelines, data architecture, and normalized data models. Experience building or scaling modern data warehouse, lake, or lakehouse environments is strongly preferred.

Practical experience applying AI, machine learning, or automation to products, engineering workflows, or operations—with sound judgment about where these tools create durable value.

Strong command of modern API design, cloud infrastructure, CI/CD, observability, data governance, and familiarity with security and compliance programs common to regulated environments.

Proven ability to hire, coach, and retain strong technical teams and to communicate effectively with engineers, customers, executives, and investors.

Experience working within a regulated industry such as healthcare or financial services is preferred.

Familiarity with RPA, web scraping, portal automation, document ingestion, or similar approaches to acquiring, ingesting, and normalizing data from disparate and unstructured sources is a plus.

Comfort operating in a lean, scrappy startup environment a