Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on. Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers.
We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale.
Runpod is hiring a Director of Marketing Operations to build and own the operating system behind our marketing motion. This role reports to Dan Stotts, Head of Marketing, and will be responsible for the systems, data, attribution, campaign operations, lifecycle infrastructure, and reporting that help the marketing team scale with discipline.
This is a hands-on director role. You will set the architecture, fix the messy parts, partner across RevOps, Sales, Finance, Product, and Data, and create the workflows that let marketing move quickly without losing measurement quality.
Marketing funnel reporting is trusted by Marketing, RevOps, Sales, and Finance.
Campaigns launch with clean tracking, clear ownership, and reliable post-campaign measurement.
PQL, MQL, lifecycle, and source attribution definitions are documented, monitored, and used consistently.
Dan and leadership can see what is working, what is blocked, and where investment should shift without ad hoc reconciliation.
Marketing spends less time manually stitching together data and more time acting on it.
Marketing operations strategy, roadmap, and day-to-day execution across HubSpot, Salesforce, Webflow, analytics, attribution, automation, and reporting systems.
Campaign operations workflows for launches, events, partner programs, lifecycle campaigns, paid programs, and content distribution.
Funnel reporting across self-serve, PQL, MQL, sales handoff, pipeline, and revenue influence.
Lead routing, scoring, segmentation, lifecycle automation, source attribution, and data quality processes.
Weekly and monthly marketing operating reviews, including dashboards, performance readouts, and decision-ready reporting for leadership.
Cross-functional operating rhythm with RevOps, Sales, Finance, Product, and Data so marketing metrics are trusted and actionable.
QA processes for campaign tracking, forms, landing pages, UTMs, CRM fields, lifecycle workflows, and handoff rules.
Documentation for definitions, workflows, attribution logic, launch checklists, and source-of-truth reporting.
7+ years in marketing operations, revenue operations, growth operations, or a closely related role at a B2B SaaS, developer tools, infrastructure, or PLG company.
Deep experience with HubSpot and Salesforce, plus strong working knowledge of lifecycle automation, CRM hygiene, lead routing, attribution, campaign operations, and funnel reporting.
Strong analytical judgment. You can define metrics, spot data quality issues, explain tradeoffs, and build reporting that survives executive scrutiny.
Hands-on systems operator. You can design the process and also get into fields, workflows, dashboards, forms, UTMs, sync issues, and QA details.
Strong cross-functional partner for RevOps, Sales, Finance, Product, Data, and Marketing.
Clear writing and documentation habits. You make processes easier to run after you touch them.
Comfort operating in a fast-moving, high-ambiguity environment where systems need to be built while the business is scaling.
Successful completion of a background check
Experience in developer-first PLG, AI infrastructure, cloud infrastructure, data platforms, dev tools, or technical SaaS.
Experience connecting self-serve product usage to lifecycle marketing, PQL scoring, sales handoff, and pipeline reporting.
Experience with product analytics or warehouse-backed reporting tools such as PostHog, Segment, Snowflake, BigQuery, Looker, Tableau, or similar.
Experience building marketing operating cadences for a Series A or growth-stage company.
The competitive base pay for this position ranges from $200,000 - $250,000 USD. 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 is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer, Runpod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law. We welcome every qualified candidate eligible to work in the United States; however, we are currently unable to sponsor employment visas
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Runpod is a cloud GPU infrastructure platform founded in 2022, providing on-demand GPU compute, serverless AI deployment, and scalable infrastructure for AI training and inference. It targets developers and AI teams building and deploying custom AI models and applications.
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