aisqldata analysisproduct managementllmstartupprompt engineeringhealthcareconversational ai
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятная ответственность за полный цикл продукта в развивающейся сфере healthcare AI, но практическая работа и взаимодействие с клиентами заметно шире классической роли продакт-менеджера.
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Широкий круг задачНа стыке ИИ и медициныЗаметный масштабПонятные ожидания
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Forward Deployed Product Manager (Healthcare AI): Building and deploying conversational AI agents for healthcare customers from initial scoping through commercial launch with an accent on customer-facing product ownership, technical delivery, and safety evaluation. Focus on designing conversation flows, orchestration logic, and evaluations, troubleshooting production issues, and converting pilots into ongoing commercial partnerships.
Location: Hybrid, San Francisco office; office attendance Monday, Tuesday, and Thursday. Applicants must be authorized to work in the US without employer sponsorship.
Company
hirify.global builds conversational AI agents for healthcare communications, connecting patients, providers, and other stakeholders across inbound and outbound channels.
What you will do
Own conversational AI agents from customer scoping and statement of work through pilot launch, commercial conversion, and ongoing performance.
Partner with customers to define requirements, measurable outcomes, technical specifications, scope, timelines, and launch criteria.
Work with forward deployed engineers, applied AI engineers, conversation designers, and clinical experts to build integrated agents in hirify.global Studio.
Build and refine conversation flows, orchestration logic, escalation pathways, evaluations, and test scenarios.
Drive technical decisions, troubleshoot product limitations, remove blockers, and manage tradeoffs around scope, quality, timelines, and launch readiness.
Evaluate agent performance, reliability, and safety; use customer feedback and performance data to improve deployments, support commercial conversion, and inform the core product roadmap.
Requirements
5+ years of experience in Product Management, entrepreneurship, or a similar role involving end-to-end product ownership.
Strong technical fluency, including experience with AI-powered products, writing and evaluating prompts, and understanding technical architectures well enough to troubleshoot issues.
Proficiency with SQL and data analysis, with the ability to translate performance metrics into product decisions.
Experience owning customer-facing deliverables and driving measurable business or commercial outcomes.
Excellent communication skills for explaining complex technical concepts to engineering, clinical, business, and customer stakeholders.
Strong product judgment and the ability to make decisions about scope, quality, timelines, and competing priorities.
Ability to operate independently in ambiguous, fast-moving environments and take accountability for outcomes.
Willingness to work hands-on with technical teams to build and improve products, including navigating difficult customer conversations and communicating tradeoffs.
Nice to have
Engineering degree or previous software engineering experience.
Experience developing, deploying, or managing conversational AI agents, LLM-powered applications, or workflow automation products.
Experience in healthcare, health technology, or another regulated or high-stakes industry.
Familiarity with clinical workflows, patient communications, or healthcare operations.
Experience taking technical products from pilot or proof of concept to commercial deployment.
Experience working with cross-functional teams spanning engineering, product, clinical, and customer-facing stakeholders.
Culture & Benefits
Hybrid work from the San Francisco office with catered lunches for Bay Area positions.
Competitive salary, equity, and 401(k) for salaried employees.
Medical, dental, and vision benefits plus a wellness stipend.
Generous paid time off and parental leave.
Bi-annual offsites and a collaborative, mission-driven culture.
Hiring process
Recruiting conversation followed by virtual interviews.
Final onsite interview loop with the team.
Conversation with the CEO.
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