Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and MIT. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

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

What You’ll Do

• Be a first point of contact for all incoming technical support questions 
• Troubleshoot software and hardware issues for customers and provide solutions
• Document solutions to common problems
• Collaborate in the development of new products
• Provide feedback to product engineering teams

You

• Linux administration experience in clustered or HPC environments
• Experience with high throughput networking technologies such as Infiniband, RoCE, iWarp etc.
• Shell or Python scripting proficiency
• Excellent written and oral communication skills
• Knowledge of data center hardware and out of band management tools
• Experience working in private or hybrid cloud environments
• Experience with HPC/AI technologies such as: 
• SFP+ fiber, InfiniBand (IB) / 100 GbE network fabric experience  
• Ethernet, switching, power infrastructure, GPU direct, RDMA, NCCL, Horovod environment
• SLURM, Kubernetes, or other job scheduling systems
• Distributed GPU training systems and third-party ML Ops platforms

Nice to Have

• Experience with ML / AI / Deep Learning
• Experience with NVIDIA data center GPUs
• Experience with parallel file systems
• Experience designing HPC clusters
• Direct experience with HPC clusters for internal or external customers 
• Understanding of the hardware, software, and tools used for deep learning
• Experience working with the technologies that underpin our business such as: Deep Learning frameworks, GPU acceleration, virtualization, and cloud computing

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 $100,000-$155,000. 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. 

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.

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

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

What You’ll Do

• Be the first point of contact for all incoming technical support questions and handle all customer interactions with understanding, empathy, and transparency.
• Troubleshoot software and hardware issues for customers and provide guidance on the best technical solutions that suit their needs.
• Document solutions to common problems to allow for future customer self-service.
• Provide feedback to internal teams on technical issues our customers are facing and, above all, be the customer’s advocate.
• Work together in a cohesive, customer-first collaborative team environment, sharing your skills, knowledge, and experience.

You

• Have Linux administration experience.
• Have Shell and Python scripting proficiency.
• Possess excellent written and oral communication skills.

Nice to Have

• Familiarity with ML / AI / Deep Learning.
• Wide flexibility for scheduling as we push for 24/7 support availability.

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

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.

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

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

What You’ll Do

• Remotely install, upgrade, operate and maintain bare-metal Kubernetes clusters (up to thousands of nodes each)
• Handle cluster degradation, recovery and resizing using our fleet management tooling
• Perform out-of-hours on-call response for critical incidents as part of a well-balanced on-call rotation
• Work on improving our tooling, automation, and processes, for both daily operations, alerting, and incident response
• Dive into systems at a low level to solve unique cluster problems and write up your findings
• Assist customers with high-level Kubernetes questions and integration with applications, storage and authentication
• Assist with initial cluster build-outs and validation to help identify failed hardware before customer delivery
• Work closely with our HPC Ops and Datacenter Ops teams on issues that require lower-level expertise or cross-functional solutions
• Mentor and assist less-experienced team members
• Have a voice in our product direction and help us think about how to minimize operational costs and complexity

You

• Are an experienced operations engineer, SRE, sysadmin or similar with a deep knowledge of running Linux clusters and systems
• Are very familiar with running on bare-metal (including knowledge of BMCs, kernel drivers, PXE, RAID, VLANs, hypervisors)
• Have a good understanding of containers, virtualisation, and the mechanisms underpinning them
• Have a good understanding of daily operation, bug-fixing and maintenance of Kubernetes
• Have experience in an on-call environment and with incident response
• Can perform incident post-mortems and develop procedures and tooling to prevent root causes from reoccurring
• Have an excellent ability to learn on-the-fly and adapt to solve problems
• Are able to work either independently with limited direction, or as part of a team
• Are able to work with customers during incidents either via tickets, live messaging, or as part of a larger call.

Nice to Have

• Deep Kubernetes experience
• Experience with user-level restrictions and hardening (e.g. AppArmor)
• Experience with network engineering
• Experience with HPC clusters, environments & tooling
• Experience with large-scale AI/ML training clusters
• Experience with machine learning/AI frameworks
• A passion for running your own bare-metal lab

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 $169,000 - $243,000. 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. 

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.

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

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

What You’ll Do 

• Engage directly with customers to deeply understand their challenges, ensuring a personalized and effective support experience
• Dive into complex software and hardware issues, providing timely and efficient solutions
• Craft comprehensive documentation of solutions and contribute to enhancing support procedures, ensuring continuous improvement in service quality
• Identify common customer pain points and collaborate closely with engineering teams to develop innovative solutions, constantly improving the overall customer experience
• Collaborate in the development of new products, contributing your expertise to shape the future of deep learning cloud infrastructure

You

• Proven experience in clustered or HPC environments, showcasing your mastery in Linux administration
• Proficiency in Bash or Python scripting, enabling you to automate tasks and streamline operations
• Excellent written and oral communication skills, ensuring effective interaction with both technical and non-technical stakeholders
• Hands-on experience in private or hybrid cloud environments, such as Azure, GCP, AWS, OCI, or OpenStack
• Proven professional experience administering Kubernetes clusters

Nice to Have 

• Familiarity with infrastructure-as-code tools (Terraform, Puppet, Ansible, Chef, etc.)
• Experience with high throughput networking technologies, RDMA, NCCL, GPUDirect, SLURM, or distributed GPU training systems
• Experience with ML/AI/deep learning and a solid understanding of the hardware, software, and tools used in this domain
• Experience with NVIDIA data center GPUs and distributed or parallel file systems

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
• Flexible Paid Time Off Plan that we all actually use
• Benefits and Retirement offered through Employer or Record services and will vary depending on the requirements for the country of residence

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.

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

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

What You’ll Do 

• Engage directly with customers to deeply understand their challenges, ensuring a personalized and effective support experience
• Dive into complex software and hardware issues, providing timely and efficient solutions
• Craft comprehensive documentation of solutions and contribute to enhancing support procedures, ensuring continuous improvement in service quality
• Identify common customer pain points and collaborate closely with engineering teams to develop innovative solutions, constantly improving the overall customer experience
• Collaborate in the development of new products, contributing your expertise to shape the future of deep learning cloud infrastructure

You

• Proven experience in clustered or HPC environments, showcasing your mastery in Linux administration
• Proficiency in Bash or Python scripting, enabling you to automate tasks and streamline operations
• Excellent written and oral communication skills, ensuring effective interaction with both technical and non-technical stakeholders
• Hands-on experience in private or hybrid cloud environments, such as Azure, GCP, AWS, OCI, or OpenStack
• Proven professional experience administering Kubernetes clusters

Nice to Have 

• Familiarity with infrastructure-as-code tools (Terraform, Puppet, Ansible, Chef, etc.)
• Experience with high throughput networking technologies, RDMA, NCCL, GPUDirect, SLURM, or distributed GPU training systems
• Experience with ML/AI/deep learning and a solid understanding of the hardware, software, and tools used in this domain
• Experience with NVIDIA data center GPUs and distributed or parallel file systems

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
• Flexible Paid Time Off Plan that we all actually use
• Benefits and Retirement offered through Employer or Record services and will vary depending on the requirements for the country of residence

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.

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

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

What You’ll Do

• Build out beautiful and easy to use interfaces to deliver an industry-leading ML and AI cloud
• Bring the best models, tooling, workflows, etc from the AI space to our platform
• Own features end-to-end, from design to deployment to monitoring

You

• Have frontend web app development experience – Minimum of 6 years building product-grade “responsive” frontend software using:
• Typescript
• React (or equivalent strong experience in Vue or Svelte)
• HTML and modern CSS
• Vite
• Have backend web app development experience– Minimum of 8 years of experience implementing business critical services, from initial conception to successful launch using:
• Python, Unix/Command line
• Django or FastAPI
• Relational database like PostgreSQL or MySQL
• Have CI/CD experience – Automation around testing and deployment to create a smooth developer experience
• Have reliability & observability experience– Building highly available systems and SRE work including observability, alerting, and logging
• Have experience with Cloud Native Services – Strong understanding of public cloud features like Cloudflare, Okta, AWS, etc.

Nice-to-haves

• Experience in Kubernetes
• IaC (Terraform, Atlantis, Crossplane,  etc)
• Worked with event-based or serverless technologies (AWS Lambda, Kinesis, etc)
• Experience in machine learning, AI, or data science fields
• Held a leadership role, with the ability to lead and mentor junior team members
• Knowledge of application security and web hardening
• Strong engineering background - EECS preferred, Mathematics, Software Engineering, Physics

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 $169,000-$243,000. 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. 

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.

Lambda's GPU Solutions are used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

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

What You’ll Do 

• Manage the entire sales process from start to finish, handling a significant number of sales opportunities
• Promptly respond and serve prospective clients from several inbound sales funnels, including inbound phone calls, inbound website chats, and inbound emails
• Generate pipeline through personalized emails, outbound calling, and prospecting
• Maintain strategic, long-term, trusting relationships with a high volume of clients to accomplish organic growth and long-term company objectives
• Forecast revenue goals and drive short and long-term revenue opportunities
• Engage startup customers and partners to learn the early indicators of market disruptions
• Contribute to the development and execution of our outbound strategy. This includes on-site presentations, executive-level networking, and conference attendance

You 

• Have a background or strong interest in selling cloud computing, GPU hardware, or infrastructure as a service (IaaS)
• Possess excellent time management and organizational skills. A Commercial Account Executive responds/outbounds to and qualifies approximately 20 prospects per day.
• Have closed multiple deals ranging from $50k to $1M
• Have the drive and energy to manage multiple accounts while looking for new opportunities
• Will engage in both technical and business-level conversations with a variety of stakeholders, including C-level personnel, engineering managers, ML researchers, and Ph.D. students
• Have excellent social skills and can work across all internal functions (engineering, sales, marketing, executives), as well as external partners and customers
• Love to follow a sales process: you build habits of documenting sales calls and meetings, and following up with prospects
• Have the ability to travel for conferences and on-site meetings
• Have the ability to create strong relationships with your clients

Nice to Have

• Experience in the machine learning or computer hardware industry
• 2-5 years of direct sales experience in a closing role
• Prior experience working in a startup or high-growth environment and a strong understanding of AI and ML concepts, technologies and the competitive landscape for AI/ML solutions in the market
• Familiarity with working in a startup environment

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 a 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 $160k OTE with a 50/50 base/commission + equity. 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. 

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.

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

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

What You’ll Do 

• Identify and qualify potential customers for Lambda hardware
• Own full sales cycle processes with a high volume of demand
• Promptly respond and serve prospective clients from several inbound sales funnels, including inbound phone calls, inbound website chats and inbound emails
• Generate pipeline through personalized emails, outbound calling, and prospecting
• Collaborate with Commercial sales teams to develop and execute on account plans
• Maintain strategic, long-term, trusting relationships with a high volume of clients in order to accomplish organic growth and long-term company objectives
• Stay up to date on industry trends and developments in the AI and ML space to effectively position Lambda's offerings

You 

• Have 1-2 years of experience in sales
• Have strong communication and interpersonal skills
• Are able to generate leads
• Have experience with CRM and sales engagement software
• Our stack: Salesforce, Intercom, Outreach, Zoominfo, Linkedin Sales Navigator
• Are able to work in a team-oriented and fast-paced environment
• Possess a strong aptitude for learning new technology quickly
• Have a proven track record of exceeding sales quotas

Nice to Have 

• Experience in the machine learning or computer hardware industry
• 1-2 years of experience in a closing role
• A strong understanding of AI and ML concepts and technologies
• Prior experience working in a startup or high-growth environment
• Strong knowledge of the competitive landscape for AI/ML solutions in the market

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 $90,000-$110,000 OTE with a 60/40 base/commission split. 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. 

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.

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and MIT. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

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

What You’ll Do

• Oversee the design, implementation, deployment, and operations of projects related to our cloud orchestration services
• Hire and grow a talented team of senior and staff level software engineers
• Lead projects from concept through production release, support, and maintenance
• Collaborate with fellow Engineering Managers and leadership to align your team’s work with company goals and customer needs
• Implement and support engineering best practices within the team (including code reviews, testing, etc) and drive operational excellence
• Assist the support team in resolving escalated technical issues
• Provide technical guidance and mentorship to foster a culture of continuous learning and growth

You

• BS/MS in Computer Science or a related field, or equivalent professional experience
• At least two years of engineering management experience, especially in a related application area, or experience in a Tech Lead role with a strong desire to grow into a management position
• At least seven years of software engineering or individual contributor experience, including at least two years of experience in Python, with significant exposure to designing, building, and maintaining large-scale, high-performance distributed systems
• Demonstrated experience managing teams in a high-growth startup environment
• Excellent interpersonal and communication skills with a proven ability to develop and maintain effective business relationships
• Strong problem solving and decision making skills, with a track record of successfully driving projects to completion
• Deep understanding of software and hardware concepts, including Linux kernel internals, systems programming, networking, storage, database systems, security
• Expertise in modern containerization and virtualization technologies, e.g. Docker, Kubernetes, KVM

Nice to Have

• Prior experience as a co-founder or early-stage startup team member
• Experience in the machine learning or computer hardware industry
• Proven track record of designing and implementing large scale cloud systems
• Deep understanding of algorithms, data structures, and performance optimization techniques

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 $190,000 - $270,000. 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. 

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.

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and MIT. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

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

Note: This position requires travel up to 40% of the time in customer locations

About the Role

As a Senior Enterprise Account Executive at Lambda, you will close multi-million dollar deals with the Fortune 500. Our enterprise customers include Airbus, Tesla, Microsoft, Facebook and Amazon Research.

What You’ll Do 

• Build strategic relationships with key Life Science Organizations, Pharmaceutical Firms, and Medical Research Organizations and Hospital Organizations, including University Hospitals
• Understanding of the mechanisms and challenges of the US healthcare market and provider infrastructure/system
• Experience with US public and private funding organizations for healthcare and AI research is highly desirable
• Forecast revenue goals and drive short and long term revenue opportunities
• Engage startup customers and partners in healthcare to learn the early indicators of market disruptions
• Own strategic accounts and develop account plans for winning and expanding business
• Lead complex, technical, consultative sales
• Contribute to the development and execution of our outbound strategy in general and specifically for Healthcare/Life Science customers. This includes on-site presentations, executive level networking, and conference attendance
• Support product development in the healthcare/life science domain by influencing the product and marketing teams with options that directly target this new market and allow Lambda to dramatically increase its customer base in the sector

You 

• Have an understanding of the use of AI in the healthcare industry
• Have the ability to open doors quickly and assess the customers' desire for building a relationship with Lambda
• 5+ years of direct sales experience within Healthcare, Biotech, Genomics, or Life Sciences
• 10+ years of technical sales experience with a track record of top performance
• A background or strong interest in selling AI solutions, cloud computing, GPU hardware, or infrastructure as a service (IaaS)
• A history of managing multi-million dollar customer relationships and closing $10M+ deals
• Experience working in healthcare, medical research, drug discovery, protein folding, digital imaging is beneficial
• Capable of engaging in business-level and technical conversations at multiple levels of the organization, including VPs of machine learning, heads of IT infrastructure, and the C-Suite
• A passion for developing a new market
• Excellent social skills and working across all internal functions (engineering, sales, marketing, executives), as well as external partners and customers
• A willingness to share success with the team. Mentoring new members is a meaningful part of your career
• Are able to travel extensively

Nice to Have 

• Experience in the machine learning or computer hardware industry

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 $400,000-$500,000 OTE with a 50/50 base/commission split. 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. 

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.