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7 дней назад

Senior/Staff AI Product Manager, Phoenix Platform (AI)

50 400 - 79 200
Формат работы
remote (только Portugal)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Portugal
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior/Staff AI Product Manager, Phoenix Platform (AI): Owning the Applied AI platform roadmap and evolving the agents, evaluations, harnesses, and observability that power AI healthcare products with an accent on model quality, safety, cost, latency, and platform reuse. Focus on shipping LLM-based features, monitoring production failure modes, balancing open-source and in-house models, and building safe AI experiences with Engineering, Product, Clinical, and Operations teams.

Location: Remote, based in Portugal; a valid EU visa is required. Relocation assistance is not offered.

Salary: €50,400–€79,200 per year, including base, variable compensation, and equity.

Company

hirify.global is an AI healthcare company developing AI Care products for musculoskeletal, women’s health, cardiometabolic, and mental health programs.

What you will do

  • Own the Applied AI platform roadmap, including strategic initiatives, innovation bets, and platform maintenance.
  • Develop the agents, evaluation systems, harnesses, and observability supporting AI-powered care products.
  • Balance platform cost, latency, quality, reuse, differentiation, and decisions around open-source or in-house models.
  • Scope and deliver initiatives with Engineering, AI, Product, Clinical, and Operations teams.
  • Maintain production quality by monitoring model degradation, evaluation results, annotations, and failure modes.
  • Own AI safety in partnership with the clinical team and manage and grow a small product team.

Requirements

  • 5+ years of product management experience, including recent hands-on ownership of an AI-powered product.
  • Significant technical depth in AI and generative AI, including models, prompting, retrieval, and agent architectures.
  • Experience shipping LLM-based features to real users and handling evaluation, annotation, observability, and unexpected failure modes.
  • Ability to contribute to technical discussions and connect AI engineering decisions to member experiences.
  • Strong written and verbal communication, product judgment, and ability to track the state of the art.
  • Experience using coding agents for debugging, data analysis, production monitoring, tooling, research, or process automation.

Nice to have

  • Experience with memory, guardrails, or multi-agent orchestration.
  • Voice AI experiences shipped to production.
  • Experience building experimentation or evaluation infrastructure, including A/B testing, evaluations, or human annotation.
  • Knowledge of foundation model training and deployment.
  • Healthcare or other regulated-domain experience.

Culture & Benefits

  • Remote work with flexible working hours and a remote work allowance.
  • Health, dental, and vision insurance.
  • Meal allowance, equity shares, and discretionary vacation.
  • Work-from-home support, snacks, and beverages.
  • AI fluency is assessed through a three-level framework; every hire must demonstrate at least Explorer-level usage of AI.

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