Technical Account Manager

Lambda; United States; Hybrid; USD 180,000 - 210,000; Full time

Job summary

Lambda, The Superintelligence Cloud, is seeking a customer-facing technical leader to own the technical health of key accounts and drive outcomes from hypercare through steady state, expansion, and renewal.

You will map customer AI use cases, including training, fine-tuning, and serving models on Lambda, and lead joint POC sessions with defined success criteria. The role includes owning architecture designs spanning compute, networking, storage, connectivity, and scheduler integration.

Responsibilities

• Own the technical health of your accounts by taking the handoff from Solutions Engineering and managing outcomes through steady state, expansion, and renewal.
• Understand customer AI use cases end to end, mapping training, fine-tuning, and serving models on Lambda, including frameworks, schedulers, and data paths.
• Lead joint customer POC sessions with defined success criteria, manage provisioning, testing, and drive clear verdicts.

Job description

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda's designated work from home day is currently Tuesday.

What You'll Do

• Own the technical health of your accounts. Take the technical handoff from Solutions Engineering at the end of hypercare and own the account's technical outcomes through steady state, expansion, and renewal. Know the state of every cluster and workload you are accountable for, and keep your commercial counterparts ahead of technical risk.
• Understand customer AI use cases end to end. Map what it means for each customer to train, fine-tune, and serve models on Lambda: frameworks, schedulers, parallelism strategy, data paths, and performance baselines. Build the customer user journey and convert it into value-add opportunities across the platform, documentation, and escalation routing.
• Lead joint customer POC sessions. Define success criteria with the customer before a node is provisioned: acceptance thresholds, benchmarks, timelines. Own the execution plan, coordinate capacity and provisioning, run or oversee the tests, and drive the POC to a clear verdict: win the workload, close the gap through product, or qualify out.
• Lead customer architecture designs. Produce and defend reference architectures spanning compute, networking, storage, connectivity, and scheduler integration (Slurm, Kubernetes). Make support boundaries explicit: what is managed and what is not. Own the design as it evolves after handoff, p