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1 день назад

Manager I, Engineering - Applied AI/ML Product Analytics Suite

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
France
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
Manager I, Engineering - Applied AI/ML Product Analytics Suite (AI/ML and Product Analytics): Leading the development of proactive and agentic AI/ML capabilities for product analytics, including event understanding, conversational analytics, automated insight reporting, and session-replay issue detection with an accent on building a new Applied Scientists team and translating research into production. Focus on defining technical vision, scaling greenfield R&D, and industrializing machine-learning capabilities across the suite.

Location: Paris, France; hybrid workplace

Company

Datadog provides a product analytics suite spanning Product Analytics, Session Replay, Feature Flags, and Experimentation.

What you will do

  • Lead and grow a team of Applied Scientists researching, prototyping, and industrializing AI/ML capabilities.
  • Define the technical vision and roadmap for agentic and proactive capabilities, including event understanding, conversational analytics, automated insight reporting, and session-replay issue detection.
  • Provide hands-on technical contribution and review support as research prototypes become production-grade capabilities.
  • Shape AI capability delivery across the suite in partnership with product and engineering leadership.
  • Hire and onboard Applied Scientists and communicate progress and priorities to stakeholders.

Requirements

  • Experience as a technical leader with a background in applied AI/ML and ideally hands-on research or applied science experience.
  • People management experience or a developing management background supported by strong technical credibility.
  • Experience taking AI/ML capabilities from research prototypes to production.
  • Ability to define direction and structure in greenfield environments with significant ambiguity.
  • Experience in analytics, NLP, or user-behavior domains is preferred.
  • Ability to explain technical AI/ML concepts to product and engineering stakeholders.

Culture & Benefits

  • Hybrid office culture focused on collaboration, relationships, creativity, and work-life harmony.
  • New-hire stock equity through RSUs and an employee stock purchase plan.
  • Professional development, product training, career pathing, mentoring, and a buddy program.
  • Inclusive employee resource groups, Inclusion Talks, and community programs.
  • Global mental health benefits for employees and dependents aged 6 and above.
  • Competitive benefits that may vary by country of employment and employment arrangement.

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