Staff Product Manager - Cloud Storage

Product Manager, Cloud Storage Platform

We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be.

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

About the Role

The Product Manager, Cloud Storage Platform is a senior technical leader responsible for setting the vision, strategy, and architecture for Lambda's storage infrastructure across cloud and hybrid environments. You will own the complete lifecycle of our storage platform — from ultra–high-performance block and file systems to petabyte- and exabyte-scale object storage — ensuring it delivers unmatched performance, durability, scalability, and cost efficiency for the most demanding AI workloads in the world.

This role demands deep expertise across both software-defined and cloud-native storage architectures, along with the ability to unify them into a seamless, high-performance platform. You will define how storage is delivered, managed, and scaled globally, influencing multi-billion-dollar infrastructure investments and guiding world-class engineering teams to deliver storage capabilities that set a new industry benchmark for AI infrastructure.

Key Responsibilities

• Define and execute the long-term vision and strategic roadmap for Lambda's storage platform across cloud and hybrid environments, ensuring it delivers uncompromising performance, scalability, durability, and cost efficiency for the world's largest AI workloads.
• Lead the evaluation, selection, and seamless integration of advanced storage technologies — spanning block, file, and object architectures — using rigorous benchmarking to optimize IOPS, throughput, latency, and total cost of ownership.
• Translate complex infrastructure capabilities into clear product requirements, precise service-level objectives (SLOs), and measurable performance benchmarks that align with demanding AI and HPC use cases.
• Architect and implement intelligent data tiering strategies (hot, warm, cold) to maximize performance where it matters and drive significant cost savings at scale.
• Collaborate with infrastructure and operations leaders to forecast multi-year capacity growth, design for petabyte-to-exabyte scalability, and ensure consistent performance under peak workloads.
• Define and enforce lifecycle management, replication, and disaster recovery policies that guarantee data integrity, compliance, and near-zero downtime.
• Own the observability and optimization roadmap for the storage platform, deploying advanced telemetry, monitoring, and analytics to proactively detect and remediate bottlenecks before they impact customers.
• Partner closely with engineering to drive continuous performance tuning, eliminate systemic inefficiencies, and ensure the platform remains ahead of industry benchmarks.

Minimum Qualifications

• Bachelor's degree or foreign equivalent in Computer Science, Electrical Engineering, Computer Engineering, or a closely related technical field.
• Seven (7) years of progressive, post-baccalaureate experience in product management, including at least four (4) years focused specifically on cloud-scale storage or infrastructure platforms.
• Proven expertise in the following areas, demonstrated within the required seven (7) years of experience:
• Designing and delivering large-scale storage platforms, including block, file, and object architectures, for performance-critical workloads.
• Evaluating and selecting storage technologies through benchmarking of throughput, IOPS, latency, durability, and total cost of ownership.
• Architecting and managing storage solutions for petabyte- to exabyte-scale datasets, including intelligent tiering strategies.
• Defining lifecycle management, replication, and disaster recovery strategies to ensure data durability and high availability.
• Integrating storage services across hybrid and multi-cloud environments to deliver a unified, high-performance platform.

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.