The RoleYou will own the technical side of our largest and most complex inference deals, from first discovery call to go-live.
You're the trusted technical counterpart for our customers' CTOs and ML leads, you design the setups that run their models, and you work hand in hand with our commercial team to get deals closed.
You'll be one of two senior technical owners of our inference deals.
Together with our Inference Sales Engineering lead, you'll also turn what we learn in the field into a repeatable playbook and product.
What You'll DoOwn the technical side of our largest and most complex inference deals end to end, from discovery to go-liveBe the senior technical counterpart for customers' CTOs and ML leads on architecture, sizing, SLAs, latency/throughput trade-offs and costDesign dedicated inference setups: model choice, GPU type and count, parallelism, quantization, inference engine and configurationLead benchmarks and proofs of concept, and turn the results into clear recommendationsScope customer customizations with our engineering team and decide what becomes productBuild the playbook and tooling for matching workloads to GPUs, and feed our roadmap with what you learn in the fieldWork in tandem with our commercial team on pricing, proposals and the technical parts of contractsWhat We're Looking ForA degree in computer science, data science or a closely related field4+ years in a customer-facing technical role, e.
solutions or sales engineer, forward deployed engineer, ML engineer working closely with customers, or technical consultantHands-on experience with LLM inference and model serving (e.
vLLM, SGLang, TensorRT-LLM, Triton) and GPU sizingA track record of owning the technical side of complex B2B deals, ideally with enterprise customersYou're credible with customer CTOs and engineers alike, and you explain trade-offs clearlyEntrepreneurial mindset: give you an outcome, and you find a way without getting blockedFluent EnglishBonus PointsExperience at.