United States onlyIn 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 or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
Develop and Execute Pricing Strategies: Design, implement, and refine pricing models for AI cloud solutions and hardware products, considering cost structures, competitive positioning, and value-based pricing.
Empower sales teams by delivering strategic guidance on deal structuring, custom deal negotiations, navigating approval workflows, and promoting best practices that accelerate deal velocity and efficiency
Market and Competitive Analysis: Conduct ongoing market research and competitive benchmarking to assess pricing trends, customer willingness to pay, and emerging pricing models in the AI and cloud space.
Pricing Optimization: Use data analytics and financial modeling to optimize pricing structures, bundling strategies, and discounting frameworks to maximize revenue and profitability
Cross-Functional Collaboration: Work closely with product management, finance, sales, and marketing teams to align pricing strategies with business objectives, customer acquisition goals, and operational constraints.
Customer and Usage Insights: Analyze customer adoption patterns, usage data, and feedback to refine pricing strategies and improve customer value perception
Subscription & Consumption Models: Develop and refine pricing strategies for subscription-based, pay-as-you-go, and enterprise licensing models tailored to different customer segments.
Performance Monitoring: Track key pricing KPIs, revenue impact, and competitive positioning, making data-driven recommendations for continuous improvement.
You
Education: degree in Business, Finance, Economics, Mathematics, or a related field; BSEE and MBA or relevant master’s degree preferred.
Experience: 7+ years of experience in pricing strategy, revenue management, or financial analysis, in AI, cloud computing, SaaS, or enterprise technology.
Strategic Thinking: Ability to develop long-term pricing strategies that align with business goals and evolving market trends.
Cross-Functional Leadership: Proven ability to work across teams and influence decision-making in a fast-paced, highly technical environment.
Communication Skills: Strong written and verbal communication skills, with the ability to translate complex pricing concepts into actionable insights for leadership and sales teams.
Analytical Expertise: Strong proficiency in data analytics, financial modeling, and analysis tools such as Excel, SQL, Tableau, or other BI tools preferred.
A strong business and financial acumen.
Have experience of various pricing strategies and the implementation.
Use of objective analysis and sound judgment to identify the best course of action.
Ability to exert influence on the relevant key stakeholders through persuasive discussion.
Strong attention to accuracy and detail is required.
AI Industry Knowledge: Deep understanding of cloud computing pricing models (e.g., subscription, consumption-based, tiered pricing) and the AI ecosystem.
Familiarity with cloud platforms (AWS, Google Cloud, Azure) and their pricing structures.
Salary Range Information
Based on market data and other factors, the annual salary range for this position is $184,000-$276,000. 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
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.
