Senior Product Marketing Manager, AI Compute

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Marketing Manager, AI Compute based in the United States.

Join a fast-growing technology environment at the intersection of artificial intelligence, cloud infrastructure, and global connectivity. As Senior Product Marketing Manager, you will own the go-to-market strategy for a portfolio of AI compute products, including inference APIs, embeddings, AI gateways, and dedicated GPU infrastructure. You will translate complex technical capabilities into compelling positioning, measurable campaigns, and clear value propositions for machine learning teams and voice AI developers. Working closely with Product, Engineering, Sales, and Demand Generation, you will lead product launches, competitive initiatives, and sales enablement. You will also use AI agents and automation to streamline marketing operations and improve execution at scale. This is a senior individual-contributor opportunity offering significant ownership, direct business impact, and the chance to shape how emerging AI infrastructure products reach the market.

Accountabilities:

• Own product positioning and messaging: Develop and maintain compelling positioning, messaging frameworks, and value propositions across the AI compute portfolio, including serverless inference, dedicated GPU solutions, embeddings, AI Gateway, and decision models.
• Lead end-to-end product launches: Coordinate launch strategies, product tiers, briefs, announcements, email campaigns, web pages, sales enablement materials, and post-launch performance reviews for a rapidly evolving product portfolio.
• Develop technical proof points: Lead public benchmarking initiatives in collaboration with Engineering, evaluating latency, model quality, throughput, and cost. Translate rigorous benchmark results into credible marketing assets, technical content, and sales materials.
• Build the AI economics narrative: Create total cost of ownership (TCO) analyses, savings calculators, pricing narratives, and competitive positioning that demonstrate the value of the infrastructure against hyperscalers and hosted inference providers.
• Drive integrated demand generation: Partner with Demand Generation to develop competitive campaigns, webinars, paid initiatives, and other programs, defining target audiences, ideal customer profiles (ICPs), campaign briefs, offers, and conversion journeys.
• Improve product activation and lifecycle marketing: Design targeted lifecycle email strategies and activation campaigns based on customer profiles and product usage, collaborating with Sales and go-to-market engineering teams to implement them.
• Enable sales teams: Produce competitive battlecards, one-pagers, objection-handling guides, sales presentations, training sessions, and pricing resources that help account executives and business development representatives communicate product value effectively.
• Monitor the competitive landscape: Track developments across inference platforms, speech technology providers, GPU cloud services, and hyperscaler AI offerings. Share competitive insights with Product and Engineering to inform roadmap decisions.
• Represent the product portfolio externally: Contribute to analyst briefings, customer success stories, press opportunities, and other initiatives that strengthen market credibility and awareness.
• Adopt AI-first marketing operations: Use and continuously improve AI agents and automated workflows for reporting, campaign tracking, ICP research, and content production, helping the marketing organization operate more efficiently.
• Drive measurable business outcomes: Partner with Sales and other stakeholders to improve inference consumption, dedicated GPU contract value, and pipeline generated by product launches and marketing campaigns.

Requirements:

• Relevant experience: At least 5 years of product marketing experience in developer-focused infrastructure, with a minimum of 2 years working with AI/ML, cloud compute, GPU infrastructure, or data platform products.
• AI-first operating mindset: Practical experience using AI agents and automation as core components of marketing workflows. Ability to work with shared agents and continuously develop or improve autonomous workflows for research, reporting, campaign tracking, and content creation.
• Technical fluency: A…