Technical Solutions Enablement Engineer

In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.

If you'd like to build the world's best deep learning cloud, join us. 

In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity.

If you'd like to build the world's best deep learning cloud, join us.

*Note: This position requires presence in our San Francisco/San Jose 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 pre-sales organizations have what they need to be successful. This is a cross-functional 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 overlay/specialist.

• Act as the voice of the customer and our customer-facing teams and advocate for their needs with our Product and Engineering teams.

• Develop enablement collateral such as reference architecture diagrams, data sheets, and customer-targeted 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 pre-sales 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 writing/documentation, training development and delivery, product (engineering, marketing, or management).

• Self-directed 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 cross-functional groups.

Nice to Have

• Experience in the Cloud/Hyperscaler space.

• Experience in customer success and/or support roles is a plus. 

• Experience using deep learning frameworks such as TensorFlow or PyTorch.

• Experience deploying generative AI/ML applications.

• Experience with LLM training and/or inference architecture.

• Experience designing, implementing and maintaining large-scale HPC infrastructure in cloud and hybrid environments.

• Experience working with RESTful API and general service-oriented architecture.

About Lambda

• We offer generous cash & equity compensation

• Investors include Gradient Ventures, Google’s AI-focused venture fund

• 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

• We have a wildly talented team of 200, and growing fast

• Health, dental, and vision coverage for you and your dependents

• Commuter/Work from home stipends

• 401k Plan with 2% company match

• Flexible Paid Time Off Plan that we all actually use

Salary Range Information 

Based on market data and other factors, the salary range for this position is (Base salary ranges from $162,000 to $235,000 plus variable sales target earnings). 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, ~350 employees (2024) and growing fast

• We offer generous cash & equity compensation

• Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (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

• Commuter/Work from home stipends for select roles

• 401k Plan with 2% company match (USA employees)

• Flexible Paid Time Off Plan that we all actually use

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

About Lambda

• Founded in 2012, ~350 employees (2024) and growing fast

• We offer generous cash & equity compensation

• Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (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

• Commuter/Work from home stipends for select roles

• 401k Plan with 2% company match (USA employees)

• Flexible Paid Time Off Plan that we all actually use

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.