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6 дней назад

Product Manager R&D Applications (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
c1
Страна
Switzerland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Product Manager R&D Applications (AI) (Analytics, forecasting, optimization, and AI-enabled decision support): Driving the vision, roadmap, and delivery of digital products for complex business and R&D environments with an accent on product strategy, measurable outcomes, and cross-functional alignment. Focus on prioritizing investments, governing AI/ML-enabled products, and ensuring scalability, interoperability, security, and data governance.

Location: Basel, Switzerland

Company

hirify.global is an independent technology consulting firm providing digital, technology, life sciences, and engineering solutions to businesses worldwide.

What you will do

  • Define the product vision, value hypotheses, roadmap, and portfolio strategy for digital R&D products.
  • Lead prioritization and investment decisions across product capabilities, balancing value, scope, cost, time, risk, and capacity.
  • Deliver products for analytics, forecasting, scenario planning, resource and capacity planning, optimization, and AI-enabled decision support.
  • Partner with R&D, business, data, technology, security, architecture, and governance stakeholders to deliver measurable outcomes.
  • Establish OKRs and KPIs covering adoption, user outcomes, decision quality, operational performance, reliability, and total cost of ownership.
  • Lead backlog management, release governance, dependency management, adoption, change management, and continuous feedback.

Requirements

  • Experience leading product-centric teams and delivering measurable outcomes through Agile and Lean product practices.
  • Experience with analytics, predictive modeling, decision intelligence, planning, forecasting, optimization, or AI-enabled digital products.
  • Understanding of AI/ML concepts, including explainability, traceability, evaluation, monitoring, governance, and human-in-the-loop decision-making.
  • Knowledge of scientific data, model lifecycle management, data provenance, reproducibility, metadata, cataloging, solution architecture, and integration patterns.
  • Experience with product strategy, customer discovery, user research, prioritization, portfolio management, and value measurement.
  • Fluent English required. A university degree in IT, Computer Science, Science, or a related field is required, or equivalent experience.

Nice to have

  • Additional language skills.
  • Familiarity with regulatory, compliance, and governance frameworks for AI/ML and data-driven products.

Culture & Benefits

  • International community with more than 110 nationalities.
  • Internal Academy with more than 250 training modules.
  • Trust-based environment with opportunities to develop into leadership roles.
  • Regular internal events, including afterworks and team-building activities.
  • Opportunity to contribute to sustainability and social or environmental impact projects through the WeCare Together program.

Hiring process

  • Brief virtual or phone call.
  • Approximately three interviews, depending on seniority.
  • Role-dependent case study, technical assessment, role play, or problem-solving exercise.

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