[Hiring] Senior Product Marketing Manager @WEKA

Role Description

WEKA is seeking a Senior Product Marketing Manager to help define and build our AI inference business, one of the fastest-moving and most consequential markets in technology. You'll own WEKA's inference proposition for the organizations that run inference at scale, including the AI clouds and service providers that deliver it to others.

This is an early-stage product marketing role focused on a market, not a single product. You'll define how WEKA wins in inference across the full NeuralMesh portfolio. That starts with Augmented Memory Grid, which extends GPU memory and changes the economics of serving models at scale, and extends to NeuralMesh Axon, model-weight loading and checkpointing, and agentic data services. You'll help decide where WEKA should focus, who we build for, and what makes us different by discovering what customers need, testing positioning in the market, and turning what works into proof and a go-to-market motion that can scale.

Reporting to the VP of Product Marketing, you'll work closely with:

• Product
• Engineering
• Sales
• Solutions Engineering
• Alliances
• Marketing

You'll also work directly with the early customers and design partners who run inference at scale: AI-native companies and model builders, enterprises putting AI into production, and the AI clouds and service providers that deliver inference to others.

Qualifications

• 6+ years of experience in product marketing, product management, solution marketing, or a closely related role in enterprise technology.
• Demonstrated experience taking a new product, category, market proposition, or business from early stage to traction, at a startup or as a new venture inside a larger company.
• Strong product marketing fundamentals across customer discovery, positioning and messaging, content development, launches, and go-to-market strategy.
• Working knowledge of AI inference and the infrastructure behind it, including accelerated computing, model serving, GPU memory, data infrastructure, and the performance and cost dynamics of running models in production.
• Strong technical aptitude and the ability to understand infrastructure architectures, benchmarks, and product capabilities, then translate them into clear customer value for technical and business audiences.
• Demonstrated ability to build quantified economic value arguments such as TCO, ROI, or cost-per-unit models, and defend them with technical and executive audiences.
• Exceptional writing, storytelling, and presentation skills, with demonstrated experience personally creating high-quality content such as solution briefs, presentations, web content, blogs, whitepapers, sales tools, or similar assets.
• Proven ability to work directly with product managers, engineers, sales teams, and customers, and turn input from multiple stakeholders into a clear point of view and high-quality deliverables.
• Experience marketing to AI-native companies, ML/AI platform teams, cloud or service providers, or enterprise infrastructure buyers is a strong plus.
• Ability to operate effectively as a senior individual contributor, balancing strategic thinking with hands-on execution and moving quickly from idea to finished work.
• Strong, evidence-driven business judgment, with the ability to prioritize the work most likely to validate the market and drive early traction.
• Comfortable with ambiguity and energized by a market and product strategy that can evolve quickly as WEKA learns.
• Bachelor's degree in a relevant technical or business field, or equivalent practical experience.
• Located in North America with the ability to travel up to 25%.

Requirements

• Define WEKA's positioning, messaging, value propositions, priority use cases, and competitive differentiation for AI inference across the portfolio.
• Own the core proposition for AI clouds and cloud providers that serve inference, including multitenancy, Kubernetes-based operations, and cross-cloud capabilities.
• Work with Product and Sales to find, recruit, and support design partners and early adopters.
• Define and quantify WEKA’s economic value across GPU utilization, time-to-first-token, throughput, concurrency, tokens per GPU, and cost per token.
• Partner with Technical Marketing, Engineering, and early customers to turn benchmarks and first production deployments into credible proof.
• Act as a strategic partner to Product in building the product that will win in AI inference.
• Lead product marketing for new inference capabilities, integrations, and solutions.
• Personally develop inference content including blogs, web pages, solution briefs, presentations, and customer stories.
• Turn winning patterns into repeatable sales plays, discovery guides, objection handling, and enablement.
• Represent WEKA's inference story with customers, analysts, press, and industry audiences.
• Track early signals of product-market fit, including validated ideal customer profile and design partner engagement.

Benefits

• Accountability: Full ownership and integrity in all actions.
• Bravery: Questioning the status quo and embracing challenges.
• Collaboration: Team-oriented communication with empathy and respect.
• Customer Centricity: Prioritizing customer success in every decision.