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2 дня назад

Senior Product Manager - Insights & Analytics

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Sweden/Europe
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
Senior Product Manager - Insights & Analytics (Retail SaaS and AI): Owning the analytics capability across a retail technology product suite, from the analytics platform and customer-facing experiences to the semantic and metric layers powering AI-driven products, with an accent on product strategy, trusted data, and measurable commercial value. Focus on discovering retailer decisions, creating shared capabilities across products, and defining analytics foundations that support predictive and agentic experiences.

Location: Stockholm, Norrköping, or Linköping, Sweden. Applicants must be eligible to work in the EU without limitations; applications from outside the EU cannot currently be processed.

Company

hirify.global provides an agentic customer experience suite for retail, combining CRM, loyalty, product discovery, e-commerce personalization, retail media, and retail-trained AI.

What you will do

  • Own the vision, strategy, and roadmap for Insights & Analytics across the hirify.global product suite.
  • Lead continuous discovery with retailers to identify decisions where improved insights can create better outcomes.
  • Coordinate analytics capabilities across Engage and Elevate to create a coherent shared experience.
  • Define success metrics including adoption, trust, time-to-insight, and commercial value.
  • Shape how analytics is packaged and commercialized as a customer-facing capability.
  • Connect insights with targeting, predictions, AI, and actions across the product suite.

Requirements

  • Senior Product Management experience in B2B SaaS, preferably in retail, e-commerce, martech, CRM, loyalty, CDP, or BI.
  • End-to-end product ownership experience, from strategy and discovery through roadmap, delivery, launch, and measurable outcomes.
  • Technical understanding of data models, semantic and metric layers, data contracts, and data lineage.
  • Experience working with Analytics Engineers, architects, and multiple product teams.
  • Experience managing shared capabilities across multi-product environments.
  • Strong stakeholder management and influence without direct management responsibility.

Nice to have

  • Familiarity with Databricks, Snowflake, BigQuery, Sigma, Looker, Tableau, or Power BI.
  • Experience with AI, ML, predictive products, or agentic capabilities.

Culture & Benefits

  • Culture focused on curiosity, open discussion, constructive challenge, and equality.
  • Professional development and learning opportunities in a supportive environment.
  • Work-life balance with no long-hours culture.
  • 30 days of vacation, parental leave top-up, and a weekly wellness hour.
  • Wellness allowance of 5,000 SEK per year, bike lease, gym access, and gadget-and-phone package.
  • Company summits and a diverse, multicultural workplace.

Hiring process

  • Submit a resume and describe the challenges and aspects of the role that interest you.
  • AI may be used during the interview process.
  • A background check is conducted for the final candidate.

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