Pricing Analyst

Remote
Full-time
San Jose
Posted 10 hours ago

Job Type

100% Remote

Work from anywhere

Employment Type

Full-time

Flexible schedule

Location Preference

San Jose

Preferred time zones

Experience Level

Senior

Required experience

Job Description

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 Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

What You’ll Do

  • Analyze pricing impact and trends, customer segmentation and behavior, and review cost structures to recommend actions.

  • Monitor and assess the impact of pricing changes on revenue, profitability, and market share.

  • Work closely with sales, finance, and product teams to align pricing strategies with business goals.

  • Utilize data analytics and modelling techniques to optimize pricing decisions.

  • Prepare detailed pricing reports and presentations for senior management.

  • Create complex financial models for different cash flow scenarios.

  • Work with relevant tools to input, manipulate and output the data into usable formats that create relevant information for management and executives.

You

  • Bachelor’s degree in Business, Finance, Economics, Statistics, or a related field.

  • >5 years of experience in pricing analysis, financial analysis, or a related role.

  • Strong analytical and quantitative skills with proficiency in Excel and data visualization tools (e.g., Power BI, Tableau).

  • Ability to interpret complex data and present insights in a clear and concise manner.

  • Excellent communication and collaboration skills.

  • Detail-oriented with strong problem-solving abilities.

  • Ability to work independently and manage multiple projects in a fast-paced environment.

Nice to Have

  • AI Industry Knowledge: Experience and understanding of cloud computing pricing models (eg subscription, consumption-based, tiered pricing) and the AI ecosystem.

  • Familiarity with cloud platforms (AWS, Google Cloud, Azure) and their pricing structures.

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, 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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