Resumo da vaga

Senior Manager, Machine Learning Engineering- Communication & Connectivity

Requisitos e responsabilidades

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Details

  • Drive alignment across engineering, product, and leadership on AI investment priorities and set the multi-year technical roadmap.
  • Partner with Product, Design, and Data Science to take high-impact ML initiatives from concept to production.
  • Ensure high-quality, efficient data pipelines that support both business and AI needs.
  • Define and own success metrics that tie ML work directly to business outcomes.
  • Grow and mentor a team of ML/Data engineers, raising the technical bar across the org.
  • Lead and mentor a senior team of Managers and Engineers across Machine Learning, Data Engineering and Software Engineering.
  • This role is highly cross functional so you will partner with senior leadership across Engineering, Data Science, Product, and across our Business to align stakeholders, define multi-year roadmaps, set and execute on iterative milestones.
  • Coaching and developing team members, helping them grow their careers, technical expertise, and collaboration skills.
  • 12+ years of overall engineering experience with 5+ years managing a team in a fast paced, high growth tech environment
  • BS, MS or PhD in Computer Science or related field
  • Experience building, leading, and architecting full-stack products and systems at enterprise scale with a great impact
  • Experience in applying modern artificial intelligence technologies to products and development cycles
  • Technical leadership: hands on experience leading project teams, setting technical direction and strategy, and working cross functionally with Product and Data Science teams
  • Strong communication and collaboration skills. Examples of working across teams and organizations on technical initiatives.
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