Were here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, worldchanging AI deployments with people who love action and hard problems, were the place to be.
If youd like to build the worlds best deep learning cloud, join us.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
In this role, you will develop expertise in our emerging technologies, and partner with teams across the company to ensure that our customers and presales organizations have what they need to be successful. This is a crossfunctional role, situated in our Applied AI Engineering group, focused on field and customer enablement in partnership with our Product, Engineering, and Sales Enablement teams.
Partner with our Product and Engineering teams to understand and influence the direction of our emerging products.
Act as an SME for a subset of our portfolio.
Join customer meetings and work with our Solutions Engineers as an overlayspecialist.
Act as the voice of the customer and our customerfacing teams and advocate for their needs with our Product and Engineering teams.
Develop enablement collateral such as reference architecture diagrams, data sheets, and customertargeted technical presentations for Solutions Engineering.
Collaborate with Sales Enablement to develop customer and sales facing collateral.
Conduct internal training workshops for technical stakeholders.
Develop and maintain awareness of emerging technologies and trends relevant to your product area.
You
8+ years total experience.
5+ years presales engineering experience.
Strong sense of customer advocacy and ownership.
A skilled communicator able to tailor messaging based on target audience and medium.
Experience in one or more of the following: technical writingdocumentation, training development and delivery, product (engineering, marketing, or management).
Selfdirected and able to operate with low supervision in highly dynamic environments.
Able to build and maintain relationships across the organization.
Able to drive consensus in complex crossfunctional groups.
Nice to Have
Experience in the CloudHyperscaler space.
Experience in customer success andor support roles is a plus.
Experience using deep learning frameworks such as TensorFlow or PyTorch.
Experience deploying generative AIML applications.
Experience with LLM training andor inference architecture.
Experience designing, implementing and maintaining largescale HPC infrastructure in cloud and hybrid environments.
Experience working with RESTful API and general serviceoriented architecture.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, ~400 employees (2025) and growing fast
We offer generous cash & equity compensation
Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, InQTel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.
We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Health, dental, and vision coverage for you and your dependents
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