Runpod is the foundational platform for developers to build and run custom AI systems that scale. They are seeking a Senior Growth Marketing Manager to own the developer journey from sign-up through activation, conversion, and PQL generation, focusing on growing their PLG business.
Responsibilities:
- Own the sign-up, activation, and PQL funnel end-to-end, with clear quarterly targets on new sign-ups, activation rate, self-serve conversion, and PQL volume into sales
- Build the experimentation muscle for our PLG motion. Stand up a structured test calendar across landing pages, sign-up flow, console onboarding, pricing, and lifecycle programs, and ship a meaningful number of wins per quarter
- Shape how we attract and retain developers as our positioning evolves toward "the AI infrastructure developers trust." You will have direct say in how that promise lands across channels and audiences
- Be the connective tissue between marketing, product, brand, and design. PLG doesn't work without a tight feedback loop across these teams, and you will own building it
- Sign-up and conversion. Own the path from first visit to sign-up to first paid usage. Improve conversion across the homepage, key landing pages, pricing page, and sign-up flow. Set targets, instrument the funnel, and ship a continuous stream of improvements
- Activation. Partner with product and design on the in-console onboarding experience. Build lifecycle programs across email, in-product messaging, and community that reduce time-to-first-pod and lift activation rate. Own the activation metric
- PQL generation. Define and refine our PQL model with sales and product. Build the programs, in-product triggers, and lifecycle plays that surface high-intent self-serve users to the sales team at the right moment. Own PQL volume, quality, and conversion to opportunity
- Growth campaigns. Concept, run, and measure cross-functional growth campaigns aimed at acquiring and converting developers. Briefs, creative direction with brand and design, on-site experiences, lifecycle, and post-mortems live with you
- Experimentation. Run a structured test program across landing pages, sign-up flow, pricing pages, and console onboarding. Define hypotheses, run tests, document learnings, and scale wins. Target a steady cadence of meaningful, statistically valid wins
- Cross-functional partnership. Partner directly with product on activation and pricing experiments, with brand and design on creative and on-site experiences, with content and PMM on positioning and conversion narratives, with sales on PQL handoff, and with DevRel on community-led growth
- Analytics and reporting. Own the PLG growth dashboard. Pull from Snowflake, product analytics, and CRM. Surface insights weekly that change what we do next, not just what we report
Requirements:
- 6+ years of B2B growth marketing experience, with at least 2 years in a senior individual contributor capacity owning sign-up, activation, or PQL metrics
- Hands-on experience operating a PLG funnel: sign-up, activation, conversion, expansion, and self-serve to sales handoff. You can show specific funnel improvements you shipped and what they moved
- Direct experience defining and operating a PQL model with sales and product, including the in-product signals, scoring, and handoff motion that make it work
- Track record running cross-functional growth campaigns end-to-end: brief, creative with brand and design, lifecycle, on-site, measurement, and post-mortem
- Strong analytical skills. Comfortable in SQL or a comparable tool. You can build your own dashboards and don't need an analyst to ship a test
- Experience marketing to developers, ML engineers, or technical buyers. You understand how technical audiences evaluate, adopt, and refer
- Fluency with the modern PLG marketing stack: HubSpot or Marketo, Customer.io or a comparable lifecycle tool, a product analytics tool (Amplitude, Mixpanel, PostHog), GA4, and Looker or similar BI
- Strong writer. You can brief a copywriter, edit copy, and write a landing page yourself when speed matters
- Successful completion of a background check
- Experience at an AI infrastructure, GPU cloud, dev tools, or developer-first SaaS company
- Built or scaled a growth function from a small team into a structured program with clear KPIs and operating cadence
- Familiarity with AI/ML workloads, model deployment, or inference economics. You don't need to train models, but you should be able to read API docs and have a credible conversation with our customers
- Experience with community-driven growth (Discord, Reddit, GitHub, Hacker News) and developer events
- Prior Series A through Series C startup experience. Comfortable with ambiguity, small teams, and shipping in week-long cycles
- Strong opinions, lightly held. You're direct, you ship fast, and you back your recommendations with data and second-order reasoning