Senior Product Marketing Manager- Inference
Accountabilities: Define positioning, messaging, value propositions, priority use cases, and competitive differentiation for AI inference across the broader product portfolio.
Develop the core proposition for AI clouds and service providers, including multitenancy, Kubernetes-based operations, and cross-cloud capabilities.
Partner with Product and Sales to identify, recruit, and support design partners and early customers while capturing insights from customer engagements.
Define and quantify the economic value of inference solutions across GPU utilization, time-to-first-token, throughput, concurrency, tokens per GPU, and cost per token.
Build compelling economic cases that help technical and executive stakeholders understand the business value of adopting inference infrastructure.
Partner with Technical Marketing, Engineering, and customers to transform benchmarks and production deployments into credible proof points and customer evidence.
Act as a strategic marketing partner to Product, bringing customer and market insights into decisions about product priorities, target customers, and future investments.
Lead product marketing for new inference capabilities, integrations, and solutions, testing positioning, segments, use cases, and packaging with customers and the field.
Develop high-impact content such as blogs, web pages, solution briefs, presentations, whitepapers, and customer stories.
Turn validated market patterns into repeatable sales plays, discovery guides, objection-handling resources, and enablement for Sales, Solutions Engineering, and partners.
Represent the inference proposition with customers, analysts, media, and industry audiences through briefings, events, and thought leadership.
Track early indicators of product-market fit, including ideal customer profile validation, design partner engagement, production customers, target-segment win rates, and eventual pipeline and revenue contribution.
Requirements:
6+ years of experience in product marketing, product management, solution marketing, or a closely related enterprise technology role.
Demonstrated experience taking a new product, category, market proposition, or business from an early stage through initial traction, either at a startup or as a new venture within a larger organization.
Strong product marketing fundamentals spanning customer discovery, positioning and messaging, content development, product launches, and go-to-market strategy.
Working knowledge of AI inference and its underlying infrastructure, including accelerated computing, model serving, GPU memory, data infrastructure, and the performance and cost dynamics of production AI workloads.
Strong technical aptitude and ability to understand infrastructure architectures, benchmarks, and product capabilities and translate them into clear value propositions for technical and business audiences.
Demonstrated ability to build and communicate quantified economic models, including TCO, ROI, and cost-per-unit analyses, to both technical and executive stakeholders.
Exceptional writing, storytelling, and presentation skills, with experience personally creating high-quality solution briefs, presentations, web content, blogs, whitepapers, sales tools, or similar materials.
Proven ability to collaborate directly with product managers, engineers, sales teams, and customers and turn diverse inputs into clear points of view and polished 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 ideas to finished work.
Strong evidence-based business judgment and ability to prioritize initiatives most likely to validate market opportunities and generate early traction.
Comfortable operating in ambiguous environments where market and product strategies evolve quickly based on customer and market feedback.
Bachelor’s degree in a relevant technical or business field, or equivalent practical experience.
Located in North America and willing to travel up to 25%.
Benefits:
Opportunity to shape an emerging AI inference market and influence product and go-to-market strategy.
High-impact senior individual contributor role with significant ownership and autonomy.
Close collaboration with Product, Engineering, Sales, Solutions Engineering, Alliances, and Marketing teams.
Direct engagement with AI-native companies, enterprises, AI infrastructure providers, customers, and industry audiences.
Opportunity to work on advanced AI infrastructure technologies spanning inference, GPU memory, data infrastructure, and agentic AI workloads.
Fast-paced environment focused on customer impact, experimentation, accountability, and continuous learning.
Remote opportunity for candidates located in North America.
Travel of up to 25% as part of customer, partner, industry, and business activities.
Inclusive and collaborative workplace culture that values accountability, innovation, customer focus, and teamwork.
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