---
title: 'Staff Product Manager - Security at Lambda'
canonical: 'https://feeny.ai/job/staff-product-manager-security-lambda-bellevue-4z475b9ag4tz'
type: 'job'
last_seen: '2026-09-06'
---

# Staff Product Manager - Security at Lambda

- **Company:** Lambda
- **Location:** Bellevue, WA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-16
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/lambda/3e9c5ab9-7fa1-4988-8ba6-bf9df69a0019

## Job description

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.

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

*Note: This position requires presence in our Bellevue or San Francisco office location 4 days per week; Lambda's designated work from home day is currently Tuesday.

## About the Role

Lambda's platform runs some of the most valuable digital assets in the world: frontier model weights and the training data behind them. AI labs need to know their weights are protected. Enterprises need to pass procurement and compliance reviews before a single GPU spins up. Security is not a feature we bolt on. It is the condition for these customers to run on Lambda at all.

As Product Manager, Security, you'll own the security product surface of Lambda's cloud platform. That means identity and access management (IAM) across the console and the Key Management Services (KMS). You'll report to the Head of Platform Product Management, and partner closely with Lambda's Security Engineering team and platform engineering. Your mandate is a hard balance. Deliver the security capabilities that unlock enterprise revenue without adding too much friction to the customer experience or slowing down feature velocity too much.

Great product managers at Lambda are defined by three things: insight, influence, and execution. Insight means you look at the data, determine what it means for customers and business, and then figure out what to do about it. But, a great idea doesn’t mean anything in a vacuum. That is where influence comes in. Influence means you take that idea and get others to want to buy into it; you win over engineers, designers, executives, and partners without relying on authority. But a great idea that everyone is excited about doesn’t matter unless it is delivered to customers. Execution means you work with the right people to get the idea launched, then measure and iterate. We hire product managers who learn new domains fast and reason rigorously from evidence. Deep security domain experience is a strong plus, but insight, influence, and execution are the bar.

If you love making security the reason a deal closes rather than the reason a product slows down, we'd love to hear from you. We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this role.

## What You'll Do

- Own the Security Roadmap: Define and drive the product roadmap for the security surface of Lambda's platform, from customer signal through launch and iteration.
- Define Identity and Access Management: Ship IAM and KMS capabilities such as single sign-on, role-based access control, and API credential management across the Lambda console and the Lambda Cloud API.
- Harden Tenant Isolation: Set the product requirements for isolation across Lambda's multi-tenant GPU infrastructure, covering On-Demand GPU Instances and 1-Click Clusters.
- Build Audit and Compliance Capabilities: Deliver the audit logging, evidence, and compliance features that enterprise procurement teams require to buy.
- Partner with Security Engineering: Work with Lambda's Security Engineering and platform engineering teams to turn security requirements into shipped platform capabilities.
- Unlock Revenue Without Adding Friction: Prioritize the security work that opens enterprise segments while preserving the fast self-serve experience researchers choose Lambda for.
- Measure and Iterate: Instrument adoption of security features, learn from customer and sales feedback, and iterate until the capability closes deals.

You

- Have 7+ years of product management experience, with at least part of that time on platform, infrastructure, or technical products
- Turn data and customer signal into clear decisions about what to build next, and can show examples where your insight changed a roadmap
- Win over engineers, designers, executives, and customers without formal authority, and bring them along on ideas they did not start with
- Work with engineering to get products launched, measured, and improved, not just specified
- Are technically fluent enough to go deep with security and platform engineers on topics like authentication, authorization, and isolation boundaries
- Can weigh security rigor against product friction and make the tradeoff explicit rather than hiding it
- Write specs, narratives, and customer-facing docs that stand on their own without a meeting to explain them
- Able to define iterative plans that move an organization from the current state towards the desired outcome

## Nice to Have

- Have shipped security products or security features, such as IAM, audit logging, or secrets management
- Have worked with compliance programs such as SOC 2 (Service Organization Control 2)
- Have built for cloud infrastructure, multi-tenant platforms, or GPU and machine learning infrastructure
- Have sold into or built for enterprise procurement customers
- Have experience partnering with a dedicated security engineering organization

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, with 500+ employees, and growing fast
- Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- Our values are publicly available: https://lambda.ai/careers
- We offer generous cash & equity compensation
- 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

## 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.

## About Lambda

## Company Overview
- **One-liner**: Lambda builds supercomputers and cloud infrastructure for training and deploying large-scale AI models, from single GPUs to gigawatt-scale AI factories.
- **Entity Type**: Private (funding stage not publicly disclosed; founded by ML engineers)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2012
- **Founders**: Stephen Balaban and Michael Balaban

## Core Business
- Primary industry: AI infrastructure / cloud computing for machine learning.
- Target customers: Frontier AI labs building large foundation models, hyperscalers scaling global AI infrastructure, and enterprises deploying AI in regulated industries (B2B, Enterprise).
- Mission: “Make compute as ubiquitous as electricity and give everyone in America the power of superintelligence” (also “One person, one GPU”).

## Products & Services
- **The Superintelligence Cloud**: A suite of cloud computing offerings specifically built for AI workloads, including:
  - **GPU Instances**: On-demand NVIDIA HGX B200, H100, and GB300 NVL72 instances for prototyping and testing.
  - **Managed Clusters**: Dedicated, single-tenant clusters (e.g., NVIDIA GB300 NVL72, HGX B200/H100) with full management and co-engineering from Lambda’s team.
  - **1-Click Clusters™**: Rapidly deployable clusters for training and inference.
  - **Superclusters**: Large-scale AI factories integrating high-density power, liquid cooling, and high-bandwidth interconnects.
- **AI Infrastructure Hardware**: Modular AI factory designs and NVIDIA-based systems for on-premise or colocation deployment.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total funding not publicly available; revenue not disclosed.
- **Notable Customers/Partners**: “World’s most advanced AI organizations” (frontier labs, hyperscalers, regulated enterprises). Leadership includes former executives from cloud and networking companies.
- **Growth Signals**: Active hiring across engineering, storage, security, and procurement roles; building AI factories at gigawatt scale; SOC 2 Type II certified; expanding from San Francisco to San Jose, CA.

## Competitive Advantages
- **AI‑First DNA**: 100% of engineering, operations, and support dedicated to AI – founded by ML engineers in 2012.
- **Single‑Tenant Isolation**: Shared‑nothing architecture for security and performance, with hardware‑level isolation.
- **Full‑Stack Expertise**: Co‑engineering from the same team building the infrastructure, enabling deep optimization for large training runs.
- **Hacker Culture**: Rooted in the Noisebridge hackerspace values of do‑ocracy, low ego, and “be excellent to each other.”
- **Performance**: Rack‑scale NVIDIA systems (GB300, B200, H100) with high‑speed interconnects (NVIDIA Quantum‑2 InfiniBand).

## Strategic Focus
- Scaling infrastructure to support the next generation of superintelligence, including gigawatt‑scale AI factories.
- Enabling frontier labs to train trillion‑parameter models and serve billions of tokens in production.
- Expanding compliance and security capabilities for regulated industries.
- Growing the cloud platform (The Superintelligence Cloud) as the primary go‑to‑market offering.

## Why Work Here
- **Culture**: Hacker ethos (Noisebridge roots), low ego, no yelling, no politics, no crypto. Values: build, move fast, care, be excellent to each other.
- **Work Environment**: Fast‑paced, high‑change, outcome‑focused. Emphasis on technical excellence and curiosity. Anonymous feedback encouraged.
- **Interview Process**: Clear, structured steps (recruiter chat → hiring manager → technical assessment → panel interviews → reference/offer). Pedigree is not everything; focus on what you’ve built.
- **Location & Remote**: Offices in San Francisco and San Jose, CA. FAQ page addresses remote/hybrid policy (details not provided in available snippets); some roles appear on‑site.
- **Perks**: Benefits, time off, and other perks are listed on the careers site (specifics not extracted here).

## Sources
1. [lambda.ai/about](https://lambda.ai/about)
2. [lambda.ai/](https://lambda.ai/)
3. [lambda.ai/careers](https://lambda.ai/careers)
4. [lambda.ai/leadership](https://lambda.ai/leadership)

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