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Mid-level metro role with a common title but niche AI and hands-on requirements limit but don't eliminate competition.
Strong product and AI emphasis is transferable across industries, though healthtech preference adds moderate domain specificity.
Explicit years, mandatory recent hands-on coding, and shipping production LLM systems set high shortlisting filters.
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Lead and develop a 15–20 member engineering team across mobile apps, web, backend, and QC to deliver integrated technology solutions.
Own end-to-end product outcomes by translating business problems into technical specifications and partnering with founders and functional leaders.
Architect, ship, and maintain AI-powered systems and internal tools that improve sales, support, logistics, clinical operations, and overall cloud infrastructure on Google Cloud.
Recent hands-on coding experience with production code shipped within the last 12 months (non-negotiable).
Experience building and shipping technology for both consumer-facing (mobile/web) and internal ops tools with deep expertise in at least two of: backend, app, web, data, cloud.
Proficiency in AI-assisted engineering practices including delivering production LLM systems end to end.
7–12 years of professional experience in senior engineer, engineering manager, or founder/CTO roles, preferably in Series A–C consumer startups or similar environments.
Operates independently to structure and deliver solutions from minimal problem statements, directly interfacing with CEO and leadership without need for close supervision.
Experienced builder with a track record of shipping AI-first products, integrating LLMs, and applying rigorous testing and monitoring to ensure low regression releases.
Has startup experience in digital health or adjacent consumer health sectors, including scaling products and teams from 0 to 10, and familiarity with connected hardware or IoT ecosystems is a plus.