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11 часов Π½Π°Π·Π°Π΄

Manager of Applied AI Products (Healthcare AI)

120Β 000 - 145Β 000$
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
remote (Ρ‚ΠΎΠ»ΡŒΠΊΠΎ USA)
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
senior
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR
Manager of Applied AI Products (Healthcare AI): Building and shipping AI capabilities for an EHR platform serving college health and counseling clinics with an accent on LLM integrations, RAG pipelines, healthcare data standards, and HIPAA-compliant clinical workflows. Focus on personally designing production AI systems, evaluating clinical utility, and balancing product strategy, client discovery, technical architecture, and responsible AI governance.

Location: Remote (USA); must currently reside in the United States and be authorized to work in the US without visa sponsorship

Salary: $120,000–$145,000 base annually, excluding annual bonus when applicable

Company

hirify.global acquires, builds, and grows software businesses, providing shared AI expertise and operational support across a global portfolio.

What you will do

  • Shape the AI product roadmap for MedicatOne in partnership with product leadership, the CTPO, and healthcare clients.
  • Translate provider pain points, EHR workflow gaps, and healthcare data challenges into AI product proposals and evaluation frameworks.
  • Personally design, code, and ship production AI features using LLM integrations, RAG pipelines, vector search, and data workflows.
  • Own AI architecture from data ingestion and retrieval through API design, deployment, reliability, scalability, and HIPAA compliance.
  • Lead client discovery and represent the AI strategy in conversations with clinicians, administrators, prospects, and industry stakeholders.
  • Coach engineers and product colleagues while establishing responsible AI development and governance practices.

Requirements

  • Substantive healthcare IT experience in healthcare SaaS, health systems, digital health, or EHR environments.
  • Working knowledge of HL7 v2, FHIR, CCD/CCDA, healthcare interoperability, clinical workflows, HIPAA, PHI handling, and de-identification.
  • 6+ years in product engineering, technical product management, or a hands-on hybrid B2B SaaS role, including 3+ years personally building AI or ML features in production.
  • Production experience integrating LLM APIs such as OpenAI or Anthropic, designing RAG systems, using vector databases and embeddings, and indexing unstructured data.
  • Experience with data modeling, SQL, analytics workflows, API design, backend services, roadmap delivery, and client-facing discovery.
  • US work authorization without current or future visa sponsorship is required.

Nice to have

  • Experience with college health, student health, or behavioral health.
  • Familiarity with FHIR R4.

Culture & Benefits

  • Direct access to leadership and meaningful influence over company direction.
  • Work on an EHR platform used by hundreds of health and counseling centers.
  • Active investment in AI products already shipping to users.
  • High ownership, low bureaucracy, and emphasis on technical craft and accountability.
  • Inclusive equal employment opportunity workplace.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’