Thomas Dinetta

About Thomas Dinetta

I build, coach, and scale engineering teams that deliver products and platforms at enterprise scale — high-throughput distributed systems, petabyte-scale data, 99.99%+ availability, and multi-million-dollar budgets. Over the past 10+ years, I\'ve developed engineering teams, managers, and senior technical staff across AI, ML, and Generative AI domains. My focus areas include platform strategy, cross-organizational execution, operational excellence, and growing the next generation of engineering leaders. At Amazon, I lead multiple teams operating large-scale services spanning thousands of hosts. Recent highlights include scaling an ML data versioning platform from proof of concept to general availability with broad internal adoption, leading a multi-team organizational restructuring to launch a new AI initiative, and dramatically reducing data delivery timelines to accelerate AI model releases. I\'m passionate about building high-performing organizations, simplifying complex systems, and creating leverage through developer experience and engineering productivity.

Experience

1. Software Engineering Manager

   Amazon

   Jan 2022 — Present · Boston, MA, US

   Lead multiple engineering teams operating large-scale distributed services at millions of TPS across petabytes of data — improved availability to 99.99%+ and reduced operational load significantly, with zero high-severity incidents across three consecutive peak seasons- Identified and funded an ML data versioning platform opportunity, scaling it from proof of concept to general availability with broad adoption — pivoting to high-value use cases and securing a cross-organizational partnership projected to drive tens of millions in annual savings- Stepped in during a leadership transition to direct a multi-team restructuring across two organizations — transferring services and engineers and coordinating moves for 30+ individuals to launch a new AI initiative on an accelerated timeline- Reclaimed thousands of engineer-days annually by redesigning data onboarding from weeks to under a day — critical for time-sensitive product launches- Drove multiple promotions and managed several underperformance cases — including senior engineers — with structured coaching plans; conducted regular skip-level meetings to ensure organizational health- Unblocked a flagship AI assistant launch by accelerating platform onboarding ahead of deadline and driving privacy compliance across hundreds of data policies with engineering, legal, and product teams- Led petabyte-scale data risk remediation and cross-org compliance, achieving executive alignment and saving months of development work- Cut data delivery SLAs from weeks to hours, shipping hundreds of datasets to accelerate AI model releases while maintaining quality through a significant headcount transition- Established Generative AI adoption as an organizational strategy, increasing productivity 40%+ and compressing planning cycles significantly- Scaled the organization by resolving recruiting bottlenecks, coaching senior managers on forecasting, and training interviewers across 50+ interviews.

Education

• Villanova University

  Bachelor of Science (B.S.), Computer Engineering

  2003 — 2007

• University of Maryland

  Master of Engineering (M.Eng.), Project Management

  2010 — 2013