About the role
About
the Role Together AI runs one of the most demanding GPU fleets in the industry. Keeping that fleet healthy - every node online, every GPU performing, every datacenter transition running on schedule - is operationally complex and genuinely high-stakes. We're looking for a Junior TPM to own that operational reality. This is not a coordination or status-reporting role. You will own the end-to-end node lifecycle - from the moment a node goes down through repair, return, and re-integration - and you'll drive the cross-functional work to close every gap as fast as possible. You'll manage datacenter bring-ups, hunt down GPU utilization loss, and build the processes and dashboards that make our fleet operations more visible and accountable over time. The environment moves fast and doesn't always come with a clear playbook. Much of
what you'll work on is genuinely novel - you'll be figuring things out alongside engineers who are building at the frontier. If that sounds like an obstacle, this isn't the right role. If it sounds like the best possible way to learn, keep reading.
Responsibilities Own the end-to-end node lifecycle - from failure through repair, return, and re-integration — across provider ticketing, internal tooling, and the state machine that governs each stage Drive node remediation to resolution with urgency, eliminating gaps in ownership at every handoff Manage project timelines for new datacenter bring-ups, coordinating across internal teams and external providers to keep milestones on track Identify and diagnose GPU utilization loss across the fleet, working with engineering leads to drive resolution Build dashboards and tracking processes that make efficiency gaps visible and ensure they get closed Continuously improve operational workflows through process improvements and lightweight automation Develop and maintain relationships with external datacenter providers
Requirements Some prior experience in a TPM role - we're open to candidates who came into TPM from engineering, ops, or another technical function, but you should have done the work in practice: owning programs end-to-end, driving cross-functional resolution, managing external dependencies A technical background or demonstrated experience in a highly technical environment - you don't need to know GPUs on day one, but you need to be able to engage meaningfully with technical problems and earn credibility with infrastructure engineers A genuine bias toward action - you see a problem and start moving, even when the path forward isn't fully clear Resilience in a fast-paced, sometimes chaotic environment - you adapt quickly, stay effective under pressure, and don't wait for perfect conditions to make progress Strong organizational instincts - you can manage multiple workstreams, track dependencies, and keep things moving without losing the thread Ability to zoom out - you can be deep in the weeds on an operational problem while keeping the bigger picture in view About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.
