Senior Product Marketing Manager

San Francisco, CA (Remote)

$150K/yr – $230K/yrSenior Level7+ years expFull time

Posted 6 weeks ago

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Job Summary

Own and scale GTM messaging and product marketing across a technical AI platform, tying competitive intel, launches, and sales enablement to revenue outcomes.

  • Own product line PMM including positioning refreshes and feature launches tied to the core framework.
  • Lead competitive intelligence and battlecard/content efforts to guide GTM and sales enablement.
  • Drive cross-functional GTM execution for launches and maintain a tight cadence with product, marketing and sales.

Job Description

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.

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.
  • Successful completion of a background check

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.

Benefits

  • The competitive base pay for this position ranges from $150,000 - $230,000. This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location
  • Meaningful equity in a fast-growing company- everyone on the team receives stock options — your impact drives our growth, and you share in the upside.
  • Generous medical, dental & vision plans
  • Flexible PTO- take the time you need to recharge
  • Most roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication
  • Join a passionate team on the cutting edge of AI infrastructure — where culture, learning, and ownership are at the heart of how we scale.
  • $1,200 Home Office & Equipment Stipend- We set you up for success from day one with gear and support to create your ideal workspace

Runpod

Runpod provides cost-effective GPU cloud computing services for training, deploying, and scaling AI models. With GPU Cloud, users can spin up an on-demand GPU instance in a few clicks. With Serverless, users can create autoscaling API endpoints for scaling inference on their models in production.Runpod was founded in 2022 and is headquartered in New Jersey.

Founded in 2022
San Francisco, California, USA
84 employees (6 in marketing)

Traffic Signals

Monthly Visitors
1.5M
Monthly Google Ads Budget
$19.1K
Traffic Source Mix
Search
37.9%
Direct
55.2%
Referral
4.3%
Social
2.1%
Paid
0.4%

Headcount Trend

Current headcount: ~84

Marketing Team

Marketing Team Size
5 (6% of company)
Marketing Roles Posted (Last 30 Days)
1

Funding

Total Funding
$22M
Last Raise
Seed, 2 years ago