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2 дня назад

Technical Product Manager (AI)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Technical Product Manager (AI/Databricks): Defining and delivering scalable data products and a modern data platform ecosystem with an accent on bridging business needs and technical implementation. Focus on evolving a Databricks-based data lake, collaborating with data engineering/science teams, and implementing advanced analytic techniques.

Location: Guadalajara, Jalisco, Mexico

Company

hirify.global is a premier AI services provider that leverages data science and AI to help clients tackle complex challenges and unlock business value.

What you will do

  • Define, prioritize, and deliver data products aligned with business objectives and measurable value.
  • Collaborate with Data Engineering to evolve a Databricks-based data lake and associated platforms.
  • Translate business needs into clear product requirements, user stories, and delivery roadmaps.
  • Partner with analytics and data science teams to identify opportunities for new data-driven capabilities.
  • Monitor product performance using success metrics and ensure scalability and reliability.
  • Promote best practices in data governance, quality, and product lifecycle management.

Requirements

  • 10+ years of experience in Product Management, specifically in Data or Analytics domains.
  • Strong understanding of modern data platforms, architecture, and data lifecycle concepts.
  • Hands-on experience with Databricks or similar cloud-based data platforms.
  • Proven track record of leading cross-functional technical teams in enterprise-wide programs.
  • Expertise in advanced analytic techniques, such as predictive modeling, cluster analysis, and segmentation.
  • English: Proficiency required

Nice to have

  • Experience within Consumer Packaged Goods (CPG) environments.
  • Familiarity with retail, consumer, marketing, and sales data concepts.
  • Exposure to machine learning, predictive analytics, or data science workflows.
  • Experience with cloud ecosystems like AWS, Azure, or GCP.

Culture & Benefits

  • Certifications in AWS, Databricks, and Snowflake, with access to AI learning paths.
  • Professional development via Udemy Business and tailored study plans.
  • Structured career development plans and mentorship programs.
  • Flexible working options and company-provided equipment.
  • Special day rewards for birthdays and work anniversaries.

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