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Senior Product Marketing Manager- Inference

10 hours, 47 minutes ago
United States
Senior
Product Marketing Manager
Artificial Intelligence and Machine Learning
Kubernetes
Apply Now
WEKA

WEKA

WEKA provides a cutting-edge data platform for cloud and on-premises data management, offering WekaFS for high-performance storage solutions in data-intensive environments.

IT Services
201-500
Founded 2014
$294M raised
View All Jobs 24

Description

  • Define positioning, messaging, value propositions, priority use cases, and competitive differentiation for AI inference.
  • Own the inference proposition for AI clouds and service providers, including multitenancy, Kubernetes operations, and cross-cloud capabilities.
  • Recruit and support design partners and early adopters with Product and Sales, incorporating insights from each engagement.
  • Quantify WEKA’s economic value through GPU utilization, time-to-first-token, throughput, concurrency, tokens per GPU, and cost-per-token analysis.
  • Turn benchmarks and early production deployments into credible customer proof with Technical Marketing, Engineering, and customers.
  • Bring customer and market evidence to Product decisions on inference investments, capabilities, and target users.
  • Lead launches for inference capabilities, integrations, and solutions; test positioning, segments, use cases, and packaging.
  • Create content including blogs, web pages, solution briefs, presentations, and customer stories.
  • Build repeatable sales plays, discovery guides, objection handling, and enablement for Sales, Solutions Engineering, and partners.
  • Represent WEKA’s inference story with customers, analysts, press, and industry audiences, while tracking product-market-fit and revenue signals.

Requirements

  • 6+ years of experience in product marketing, product management, solution marketing, or a related enterprise technology role.
  • Experience taking a new product, category, market proposition, or business from early stage to traction.
  • Product marketing expertise in customer discovery, positioning, messaging, content development, launches, and go-to-market strategy.
  • Working knowledge of AI inference infrastructure, including accelerated computing, model serving, GPU memory, data infrastructure, and production performance and cost dynamics.
  • Technical ability to interpret infrastructure architectures, benchmarks, and product capabilities and translate them into customer value.
  • Experience building and defending quantified TCO, ROI, or cost-per-unit value models.
  • Exceptional writing, storytelling, and presentation skills, including creation of solution briefs, presentations, web content, blogs, whitepapers, or sales tools.
  • Ability to partner with product managers, engineers, sales teams, and customers to create clear points of view and deliverables.
  • Experience marketing to AI-native companies, ML/AI platform teams, cloud or service providers, or enterprise infrastructure buyers (preferred).
  • Bachelor’s degree in a relevant technical or business field or equivalent experience; located in North America and able to travel up to 25%.

Interested in this position?

Apply directly on the company website

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