Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide.
If you'd like to build the world's 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.
Information Systems at Lambda is responsible for building and scaling the internal systems that power our business. We partner across the company—Finance, GTM, Engineering, and People—to implement tools, automate workflows, and ensure data flows securely and accurately. Our scope includes enterprise applications, integrations, data platform and analytics, compliance automation, and all things IT.
About the Job
Join our team as a Business Intelligence Analyst & Administrator, where you will collaborate with a small, high-performing team of Analytics Engineers and Data Engineers to design data pipelines, a data warehouse, an automated data catalog and internal tools. You will be a thought-leader on how Lambda manages its BI layer, building analytics tools, training users who are hungry to learn about data tools, and setting up Lambda to scale up during a hyper-growth period. This role offers the opportunity to make a significant impact and is ideal for someone passionate about leveraging data to drive decision-making. The role will report to the Data Platform Manager.
Example Analytics Projects (Past & Present)
Researching utilization patterns across GPU and Cluster types
Analyzing Lambda’s GPU allocation across product portfolio
Analyzing marketing funnel performance and building customer profiles
Partnering with Product Managers to define new metrics for product & feature launches
Assisting the FP&A team with metrics for Lambda’s investor decks and leadership meetings
Designing and tracking KPIs across all departments with operational leaders and celebrating milestones
Partnering with Project Management Office to help build deployment gantt tracking
What You’ll Do
Tableau / BI Tool Management: Oversee the administration and optimization of BI tools, ensuring they meet organizational needs and are aligned with strategic goals.
Access Management: Implement and manage user access controls, ensuring data security and compliance with governance policies.
User Training & Enablement: Develop and deliver training programs to empower users, fostering a self-service BI environment and enhancing data literacy across the organization.
Analytics Development: Design and maintain analytics tools, dashboards, and reports to support cross-functional teams in achieving their objectives.
Guide users in the appropriate tools for the appropriate data use case (Tableau, sheets, operational systems, SQL, etc)
Performance Monitoring: Continuously monitor and improve BI tools' performance, scalability, and reliability.
Innovation: Stay abreast of industry trends and emerging technologies to recommend innovative solutions.
Collaboration: Partner with stakeholders to understand requirements and deliver tailored solutions.
Documentation: Maintain comprehensive documentation of BI tools, processes, and best practices.
Data Integrity: Ensure data accuracy and integrity, addressing discrepancies and improving data quality.
You
Have a Bachelor’s degree in Computer Science, Information Systems, Business Administration, or a related field.
Have 5+ years of professional experience in BI, with a focus on tool management, user enablement, and analytics development. Experience in Tableau preferred.
Have moderate SQL skills
Have experience working with DBT and contributing to a Github repository
Have fundamental understanding of ETL processes
Have soft Skills: Excellent communication, problem-solving, and leadership abilities.
Work well in a small team environment and can prioritize projects in an agile way
Can adapt to a fast-paced hypergrowth environment and work within existing patterns while proposing and building more scalable solutions
Nice to Have
Domain knowledge / experience supporting an FP&A team and finance KPIs (highly preferred)
Domain knowledge / experience around AI models or data center deployments
Domain knowledge / experience around supply chain management or inventory
Domain knowledge / experience around marketing funnel / sales funnel metrics
Salary Range Information
Based on market data and other factors, the annual salary range for this position is $137,000-$198,000. 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.
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
Wellness and Commuter 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.
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