Product Marketing Manager

Responsibilities

• Apply and extend Runpod's core positioning, messaging hierarchy, and value propositions across all product lines and customer touchpoints.
• Own product line PMM including positioning refreshes, feature launches and ongoing messaging aligned to the core framework.
• Partner with brand and demand gen teams to ensure messaging consistency across all channels (web, docs, sales, community).
• Own competitive intelligence: track the neocloud market landscape, synthesise insights and translate them into actionable battlecards, GTM strategies and content.
• Run a structured win/loss program, identify patterns and feed findings back into product, competitive and sales enablement.
• Lead GTM execution for product launches, driving cross-functional alignment across product, marketing and sales for coordinated, high-impact releases.
• Own campaign brief execution: develop and maintain briefs across key GTM motions in partnership with demand gen and content.
• Own the sales enablement cadence: maintain and refresh battlecards, objection handling, one-pagers and sales decks as the competitive landscape and product evolve.
• Create long-form technical content that educates prospects and accelerates buying decisions – comparison guides, technical explainers, ROI frameworks, use case deep-dives, architecture guides and competitive analyses.
• Contribute to the SEO/GEO and inbound content strategy in partnership with the content team, with a focus on competitive and product line topics.
• Build and operate AI-assisted workflows for competitive monitoring, brief generation and content production that scale output.
• Conduct customer research (interviews, surveys, win/loss analysis) to understand buyer motivations, decision criteria, pain points and objections.
• Synthesise product usage data, customer feedback and market signals to inform messaging, content strategy and product prioritisation.
• Serve as a voice of the customer in internal strategy discussions, ensuring GTM and content decisions are grounded in real customer needs and market dynamics.

Requirements

• 7+ years of product marketing experience in technical B2B or developer-focused companies.
• Proven ability to create high-quality, long-form technical content that educates technical and business audiences, drives conversion, and influences pipeline.
• Deep technical fluency: you can understand complex technical concepts (GPU infrastructure, AI/ML workflows, cloud economics, distributed systems, serverless architecture) and translate them into clear, accessible narratives.
• Strong writing skills and storytelling ability: you're a confident writer who can produce polished, compelling content without heavy editing. You understand how to make technical topics engaging and relatable.
• SEO and inbound marketing expertise: you understand keyword research, on-page optimization, content structure for search, and how to create content that ranks and converts.
• Proven experience leveraging AI tools to scale content production, research, analysis, and workflows while maintaining quality and authentic voice.
• Ability to operate in a lean model: you're resourceful, efficient, and comfortable wearing multiple hats to get things done without a large team.
• Deep expertise in product-led growth and sales-assist motions, ideally with experience scaling a company from PLG into larger deals.
• Proven track record of driving revenue impact through positioning, messaging, content, launches, and sales enablement in competitive, fast-moving markets.
• Data-driven decision-making: you use metrics (engagement, conversion, pipeline influence, organic traffic, win rate, CAC:LTV) to inform strategy and measure content and GTM effectiveness.
• Exceptional strategic thinking and execution: you can diagnose GTM gaps, develop clear strategies, and ship high-quality work quickly.
• Cross-functional leadership: you've successfully influenced product, sales, and marketing teams without direct authority.
• Bias toward action and speed: you thrive in ambiguous, fast-paced environments and prefer shipping over endless iteration.

Preferred

• Experience in cloud infrastructure, AI/ML platforms, GPU compute, or developer tools (especially serverless, infrastructure-as-a-service, or HPC environments).
• Understanding of pricing dynamics, technical differentiation, competitive landscape, and buyer behavior in the neocloud space.
• Experience working with technical communities (open source, AI/ML research, developer ecosystems) and translating community insights into GTM strategies and content.
• Strong analytical and data skills: comfortable with SQL, analytics tools, and synthesizing product usage data and content performance into actionable insights.

Compensation & Benefits

• Competitive base pay ranges from $150,000 - $230,000. Salary range may be inclusive of several career levels and will be narrowed during the interview process based on experience, qualifications, and location.
• Meaningful equity in a fast-growing company — everyone on the team receives stock options.