The Personalized Experiences Team is a centralized Personalization group working closely with product line development teams across the company to democratize ML/Analytics across all Autodesk products. We are on a mission to build a centralized Personalization platform that powers insights, recommendations, proactivity across all Autodesk products. You will be working on a myriad of problems related to building data products that provides ML/prescriptive recommendations to Autodesk Users. We are looking for a technically savvy Engineering manager with a passion for building scalable services and who is eager to help us bring platform thinking in day-to-day product engineering practices. We are seeking individuals who are attracted by complicated problems, who can think creatively and work hard to help us solve them. This role sits at the intersection of distributed systems, data platforms, and emerging agentic AI technologies. You will lead development of systems that not only analyze data streams but also reason, synthesize, and are used for powering intelligent assistants and workflows embedded directly within Autodesk products.**Responsibilities**You’ll work with product managers on defining strategic directions, and with technical program managers on executing high-impact initiatives* You’ll work with stakeholders to define and track project milestones and communicate progress to all relevant parties* Identify risks and issues and develop mitigation strategies to ensure successful project outcomes**Minimum Qualification*** 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 systems4+ years of technical leadership or management experience in software engineering8+ years of relevant industry experience in software engineering and data analytics fieldsExperience in building scalable data processing applications, infrastructure and production servicesExperience 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 engineersExperience in scaling and re-architecting data platforms and infrastructure through orders of magnitude of growthExperience with SQL & No-SQL database technologies like MySQL, RedShift, MongoDB or similarExperience working with big data environments such as Athena, BigQuery, Snowflake, Hadoop (Hive, Spark)#J-18808-Ljbffr