Technical Product Marketing Manager at Lambda

San Francisco, California, United States

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$206,000 – $310,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Cloud ComputingIndustries

Requirements

Deep understanding of the AI/ML landscape, including how to build, fine-tune, or deploy models
Ability to create tutorials, guides, or blog posts that resonate with AI developers
Experience testing new AI/ML tools and frameworks
Skill in turning complex research into writing for AI engineers
Understanding of how AI is transforming the world and how GPUs accelerate ML workflows
Familiarity with frameworks like PyTorch
Ability to hold conversations about large language models or advanced AI/ML techniques
Strategic skills in crafting and maintaining marketing plans
Hands-on ability to write compelling copy, analyze data, or finalize training decks
Talent for translating complex AI concepts into clear, engaging stories

Responsibilities

Own development of content and campaigns for Lambda’s public cloud offering, targeting AI researchers and startups with educational content
Dig into AI/ML trends and create campaigns, messaging, multi-channel activations, and optimize based on performance
Collaborate with product and engineering teams to ensure technical accuracy and relevance in campaigns, showcasing GPU-accelerated computing impact
Serve as AI/ML expertise resource for GTM teams: develop technical blogs, sales enablement materials, lead education sessions, battle cards, product demos, and how-to guides
Execute Account-Based Marketing (ABM) with tailored strategies, outreach plans for AI developers and startups
Run webinars, events, and workshops: identify opportunities, curate content, shape messaging, and present when needed
Make data-driven decisions by monitoring KPIs, iterating on strategies for leads, engagement, and conversions, and sharing insights with leadership and partners

Skills

AI/ML

Deep Learning

GPU Computing

Technical Writing

Content Creation

Product Marketing

Campaign Management

Sales Enablement

Cloud Computing

Model Training

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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