Product Marketing Manager

Posted 19 Days Ago
Hiring Remotely in United States
Remote
5-5
Senior level
Artificial Intelligence • Information Technology • Software
The Role
The Product Marketing Manager will define technical marketing initiatives, develop product messaging, and create sales enablement materials for Yotta Labs' AI platform.
Summary Generated by Built In
Product Marketing Manager – AI & GPU Infrastructure

About Yotta Labs

Yotta Labs is pioneering the development of a Decentralized Operating System (DeOS) for orchestrating and optimizing AI workloads at scale. Our platform leverages advanced GPU optimization, quantization, and elastic deployment technologies to maximize performance and efficiency across training, inference, reinforcement learning, and deployment for all model types, including large language models and generative AI. From bare-metal to serverless, Yotta Labs empowers developers, researchers, and enterprises to reduce costs, accelerate AI workloads, and maintain full control over their compute infrastructure.

Role Overview – Product Marketing Manager

Yotta Labs is seeking a Product Marketing Manager to define and execute technical product marketing initiatives for our cutting-edge AI infrastructure platform. You will define and execute positioning, messaging, and go-to-market strategies that clarify our value in the rapidly evolving AI ecosystem. This is a hands-on role working closely with the founders, product, engineering, and GTM teams to ensure our technology resonates with the right audiences and drives adoption.

This role is ideal for someone who thrives at the intersection of technology and storytelling. You should understand developer workflows, GPU infrastructure, and AI/ML platforms, and be able to translate those capabilities into compelling narratives, campaigns, and customer-facing content that differentiate Yotta Labs in the market.

Responsibilities
  • Develop and maintain product positioning, messaging, and value propositions for AI/ML workloads, including training, inference, fine-tuning, and GPU optimization.

  • Lead go-to-market strategy for new features, product releases, and integrations, including launch planning, messaging frameworks, and enablement content.

  • Conduct competitive analysis, benchmarking against other AI infrastructure solutions, identifying differentiators, and informing positioning and pricing strategy.

  • Translate technical features into clear, differentiated benefits for developer, startup, and enterprise buyer personas.

  • Create and manage technical content: solution briefs, feature one-pagers, case studies, whitepapers, technical blog posts, webinars, and partner collateral.

  • Partner with sales, growth, and product teams to develop sales enablement materials, demos, and playbooks that help technical buyers understand the value of our platform.

  • Conduct market research to identify trends, customer needs, and gaps in the AI infrastructure landscape, using insights to inform product and GTM strategy.

  • Collaborate with developer relations and community teams to craft messaging that resonates with AI-native startups, ML engineers, and enterprise teams.

  • Measure the impact of product launches and marketing campaigns, iterating to optimize adoption and engagement.

Qualifications
  • 5+ years of experience in technical product marketing or GTM roles for B2B, cloud, AI infrastructure, or developer-focused platforms.

  • Strong understanding of AI/ML workflows, GPU infrastructure, model training and inference, and cloud-native technologies.

  • Proven experience launching products or features with technical depth, driving adoption and usage among developers or enterprise teams.

  • Exceptional storytelling and writing skills, with the ability to translate technical details into value-focused messaging for multiple audiences.

  • Experience in competitive analysis, pricing strategy, and GTM planning.

  • Comfortable collaborating with engineers, product managers, sales, and growth teams in a fast-paced startup environment.

Bonus Experience
  • Direct experience with AI infrastructure platforms, GPU orchestration, or LLM tooling.

  • Background in developer marketing or engaging technical audiences.

  • Familiarity with Web3, DePIN, or decentralized computing ecosystems.

  • Track record of supporting enterprise and startup GTM motions simultaneously.

Why Join Yotta Labs?
  • Help shape the narrative and market position of a company building foundational AI infrastructure for the decentralized era.

  • Join a visionary founding team at the frontier of AI and compute.

  • Work remotely with autonomy, creativity, and purpose.

  • Collaborate with leading engineers, researchers, and operators from the AI/ML, cloud, and Web3 ecosystem.

How to Apply

Please send your resume, portfolio or links to relevant work, and a brief note on why you'd be a great candidate to [email protected].

Top Skills

AI
Cloud-Native Technologies
Gpu
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The Company
HQ: Seattle, WA
16 Employees
Year Founded: 2024

What We Do

Yotta Labs is at the forefront of building a cutting-edge protocol that serves as the Decentralized OS for AI workload orchestration at Planet Scale. The Decentralized Operating System (DeOS) from Yotta is designed to maximize the utilization of available resources by optimizing LLM training/inference flows and efficiently scheduling AI workloads across decentralized networks running geo-distributed GPUs worldwide, pushing the aggregated processing limit to an unprecedented Yottascale. (Yottascale is 1,000,000 of exascale, which is current limit of the fastest supercomputer in the world)

Founded by a team of industry and academia experts in AI and HPC (High-performance Computing), Yotta Labs team has a proven track record of delivering exceptional work. Through cutting-edge approaches invented by the team to optimize resource orchestration and intra-/inter-node communication, we strive to unlock the maximum potential of decentralized AI.

For more information about aelf, please refer to our Whitepaper: https://yottalabs.ai/whitepaper

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