Manager - Security Platform at Lambda

San Francisco, California, United States

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$297,000 – $495,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Cloud ComputingIndustries

Requirements

Deep technical intuition in security-aware software engineering
Strong product sensibility
Proven team-building excellence
Ability to hire, develop, and retain high-performing engineers
Experience fostering technical excellence, collaboration, and continuous learning
Skills in architectural and technical oversight, design reviews, risk assessment, and ensuring robust, maintainable, scalable solutions
Ability to coach engineers in product thinking and platform ownership
Experience owning product roadmaps and aligning with business objectives
Capability to balance immediate needs with strategic vision
Proactive in gathering and meeting customer needs for voluntary tool adoption

Responsibilities

Hire, develop, and retain a high-performing team of 3-4 deeply security-aware software engineers dedicated to building and operating production-grade security platforms
Foster a culture of technical excellence, collaboration, and continuous learning through clear expectations, regular feedback, and growth opportunities
Provide architectural and technical oversight, review designs, assess risks, and ensure solutions are robust, maintainable, and scalable
Coach engineers in product thinking and platform ownership to evolve from feature delivery to service management with measurable impact
Establish the team as the go-to platform builders for Detection & Response, Security Architecture, and engineering teams
Own the Security Platform roadmap, aligning it with Lambda's security and business objectives
Balance immediate security team needs against a strategic platform vision for compounding value
Proactively gather and meet customer needs to create tools and platforms that are voluntarily adopted for faster, easier secure development
Operate as both technical and product leader, translating complex requirements into deliverables
Build the team, mature existing toolset, collect requirements, and build a 6-12 month roadmap aligned with the 2026 security strategic plan

Skills

Security Engineering

Platform Engineering

Software Engineering

LLM Deployment

Automation

Detection and Response

Security Architecture

Team Leadership

Lambda

Cloud-based GPU services for AI training

About Lambda

Lambda Labs provides cloud-based services for artificial intelligence (AI) training and inference, focusing on large language models and generative AI. Their main product, the AI Developer Cloud, utilizes NVIDIA's GH200 Grace Hopper™ Superchip to deliver efficient and cost-effective GPU resources. Customers can access on-demand and reserved cloud GPUs, which are essential for processing large datasets quickly, with pricing starting at $1.99 per hour for NVIDIA H100 instances. Lambda Labs serves AI developers and companies needing extensive GPU deployments, offering competitive pricing and infrastructure ownership options through their Lambda Echelon service. Additionally, they provide Lambda Stack, a software solution that simplifies the installation and management of AI-related tools for over 50,000 machine learning teams. The goal of Lambda Labs is to support AI development by providing accessible and efficient cloud GPU services.

San Jose, CaliforniaHeadquarters

2012Year Founded

$372.6MTotal Funding

DEBTCompany Stage

AI & Machine LearningIndustries

201-500Employees

Risks

Nebius' holistic cloud platform challenges Lambda's market share in AI infrastructure.

AWS's 896-core instance may draw customers seeking high-performance cloud solutions.

Existential crisis in Hermes 3 model raises concerns about Lambda's AI model reliability.

Differentiation

Lambda offers cost-effective Inference API for AI model deployment without infrastructure maintenance.

Nvidia HGX H100 and Quantum-2 InfiniBand Clusters enhance Lambda's AI model training capabilities.

Lambda's Hermes 3 collaboration showcases advanced AI model development expertise.

Upsides

Inference API launch attracts enterprises seeking low-cost AI deployment solutions.

Nvidia HGX H100 clusters provide competitive edge in high-performance AI computing.

Strong AI cloud service growth indicates rising demand for Lambda's GPU offerings.

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