Engineering Manager

About the Company

Health Arx Technologies is the parent company behind two consumer health brands: BeatO, a connected diabetes care platform delivering glucometers, CGM, and a smart scale alongside app-based coaching and an in-house doctor network, and Metaboliq, its GLP-1-led weight and health management services brand. Both brands run e-commerce operations and sit on shared data and cloud infrastructure, with technology functioning as the operating system that product, operations, sales, clinical, and support teams all run on.

Requirements

Role Summary

This is a builder-leader mandate spanning engineering, product, data, infrastructure, and AI systems, not a pure engineering-management role. The primary measure of success is unlocking capability for business and operations teams and driving business outcomes directly, rather than managing a roadmap from a distance. Within six months, the person in this seat should be operating independently as the leadership team's single point of accountability for technology delivery, working directly with the CEO without needing day-to-day direction. The final level, Sr. Manager or Director, will be set based on the strength of the candidate rather than fixed in advance.

Key Responsibilities

• Engineering leadership. Lead and level up an existing shared engineering team of 15–20 across app (Android/iOS), web, backend, and QC, working across multiple concurrent projects.

• Product ownership. Operate with a product mindset: translate business problems into specs, make scope trade-offs, and own outcomes rather than tickets, partnering directly with founders and functional leaders.

• Data. Co-own analytics pipelines, event instrumentation, dashboards, and the data-driven decision loop for product and operations, working in a GCP/BigQuery environment alongside the Analytics and Data Engineering team.

• Infrastructure. Own cloud architecture, cost, reliability, and security on Google Cloud (Cloud Run, Cloud SQL, Pub/Sub, Firebase).

• Ops enablement. Build internal tools, automations, and AI agents that measurably speed up and improve sales, support, logistics, and clinical operations.

• AI systems. Architect and ship LLM-powered products end to end, including WhatsApp-first conversational agents, document intelligence, voice agents, and internal automation agents.

Requirements (Must-Haves)

• Recent hands-on coding. Has personally shipped production code within the last 12 months. This is non-negotiable; the role requires prototyping, reviewing, and unblocking at the code level.