2 дня назад
Manager of Applied AI Products (AI)
120 000 - 145 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager of Applied AI Products (AI/Healthcare): Building and shipping production AI capabilities for a healthcare software platform with an accent on LLM integrations, RAG pipelines, clinical workflows, and healthcare data compliance. Focus on designing end-to-end AI architecture, evaluating clinical utility and reliability, and establishing responsible AI governance across the organization.
Location: Remote within the United States. Candidates must currently reside in the United States and be authorized to work there without current or future visa sponsorship.
Base salary: $120,000–$145,000 USD annually, excluding an annual bonus where applicable.
Company
Healthcare software platform serving hundreds of health and counseling centers, with a focus on AI-enabled clinical workflows and responsible innovation.
What you will do
- Shape the AI roadmap with product leadership by translating provider pain points, clinical workflow gaps, and healthcare data challenges into product opportunities.
- Design, develop, and ship production AI features, including LLM integrations, retrieval-augmented generation pipelines, vector search, and healthcare data workflows.
- Own end-to-end AI architecture across data ingestion, retrieval, APIs, system design, deployment, scalability, reliability, and implementation quality.
- Establish evaluation frameworks for AI performance, clinical utility, reliability, adoption, and business impact.
- Engage with clinicians, health center leaders, administrators, prospects, and clients to validate product direction and communicate AI capabilities.
- Develop AI governance, responsible-use practices, documentation, coaching, and organization-wide AI literacy.
Requirements
- 6+ years of experience in product engineering, technical product management, or a comparable hands-on hybrid role within B2B SaaS, including at least 3 years building AI or ML-powered features in production.
- Substantial healthcare IT experience in healthcare SaaS, health systems, digital health, or EHR environments, with practical knowledge of clinical workflows.
- Working knowledge of HL7 v2, FHIR, preferably R4, CCD/CCDA, healthcare interoperability, and common integration patterns.
- Hands-on experience with HIPAA, PHI, de-identification, privacy requirements, and healthcare regulatory constraints.
- Production experience integrating LLM APIs such as OpenAI or Anthropic, designing RAG architectures, and working with vector databases, embeddings, indexing, SQL, APIs, and backend services.
- A player/coach mindset, strong client-facing communication skills, and the ability to contribute strategically and through code-level technical implementation.
Nice to have
- Experience in college health, student health, behavioral health, or related clinical environments.
Culture & Benefits
- Fully remote work within the United States.
- Direct access to senior leadership and meaningful influence over product and AI strategy.
- High-ownership environment with low bureaucracy and emphasis on accountability and technical craft.
- Opportunity to build AI products with tangible impact across healthcare and clinical workflows.
- Collaborative environment focused on responsible AI innovation, product quality, and measurable customer outcomes.
- Inclusive workplace committed to equal employment opportunity and a diverse, supportive culture.
Hiring process
- Applications are evaluated through ’s AI-powered matching process.
- Shortlisted candidates are shared with the hiring company, whose internal team manages interviews, assessments, and next steps.
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