Senior Engineering Manager, Real-time & Streaming AI Systems

Autodesk Autodesk · Enterprise · Toronto, ON +1

Autodesk is seeking a Senior Engineering Manager to lead the development of a centralized Personalization platform that powers insights, recommendations, and proactivity across all their products. The role involves building scalable services at the intersection of distributed systems, data platforms, and agentic AI technologies, focusing on systems that analyze data streams, reason, synthesize, and power intelligent assistants and workflows embedded within Autodesk products. The manager will hire, retain, and lead a team of engineers, drive the platform's vision and roadmap, and ensure high-quality service delivery.

What you'd actually do

  1. You'll hire, challenge and retain a diverse, inclusive and highly effective team of engineers
  2. You'll drive the vision and roadmap of Personalization Platform to speed up adoption of the Personalized Experiences across the portfolio of all Autodesk products
  3. You'll partner closely with Applied AI, Product & other Platform teams
  4. You'll ensure your team ships services constantly at a high quality
  5. You'll participate in the definition of future technology architecture and strategy

Skills

Required

  • 4+ years of technical leadership or management experience in software engineering
  • 8+ years of relevant industry experience in software engineering and data analytics fields
  • Experience in building scalable data processing applications, infrastructure and production services
  • Experience supporting and working with cross-functional teams in a fast-paced environment
  • Experience in cloud-based technologies and platforms
  • Experience in mentoring and coaching technical leads, software and data engineers
  • Experience in scaling and re-architecting data platforms and infrastructure through orders of magnitude of growth
  • Experience with SQL & No-SQL database technologies like MySQL, RedShift, MongoDB or similar
  • Experience working with big data environments such as Athena, BigQuery, Snowflake, Hadoop (Hive, Spark)
  • Ability to manage multiple priorities and work effectively under pressure.
  • Understanding of LLMs and agentic workflows
  • Experience or interest in integrating AI into real-time systems
  • Ability to build production-grade AI/recommendation systems

What the JD emphasized

  • building scalable services
  • platform thinking
  • agentic AI technologies
  • reason, synthesize
  • intelligent assistants and workflows
  • building production-grade AI/recommendation systems

Other signals

  • building a centralized Personalization platform
  • powers insights, recommendations, proactivity
  • building data products that provides ML/prescriptive recommendations
  • building scalable services
  • platform thinking
  • distributed systems, data platforms, and emerging agentic AI technologies
  • reason, synthesize, and are used for powering intelligent assistants and workflows