RunPod

• 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.

• 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.

• Lead end-to-end negotiations for intricate, high-value agreements. Effectively negotiate key commercial terms, prioritizing optimal payment schedules, the structuring of costs against cash flow, and the strategic discounting of credits. • Manage relationships with critical suppliers, ensuring Runpod secures the best possible terms for infrastructure needs. • Act as the primary bridge between the procurement team and Legal. Review complex contract clauses, translate commercial requirements into legal frameworks, and streamline the contract execution process. This role requires a working level of contract law in order to keep pace. • Analyze procurement data and vendor proposals to forecast expenses, mitigate supply chain risks, and drive continuous cost improvements without sacrificing quality or deployment speed. This role requires a working level of FP&A in order to keep pace. • Work closely with engineering teams and finance leadership to understand technical requirements, aligning procurement strategies with aggressive product delivery timelines and company growth goals.

• Manage the review and approval process for non standard enterprise deals • Support custom pricing structures, savings plans, multi year agreements, and volume discounts • Establish and maintain Deal Desk SLAs with the Sales organization • Own CPQ implementation and administration in partnership with Revenue Operations and Finance • Maintain pricing rules, discount matrices, approval workflows, and product catalogs • Partner with Finance on bookings definitions and revenue recognition requirements • Maintain pricing precedent and deal history records • Build operational systems supporting renewals, amendments, and expansion workflows • Ensure deal structures and contract values are accurately reflected in CRM systems • Support quarterly close processes and booking accuracy • Leverage AI tools for contract review, workflow automation, pricing analysis, and approval routing • Stay current on AI driven commercial operations best practices

• Create and manage a structured onboarding program for all new employees across Engineering, Product, GTM, Finance, and Operations • Partner with cross functional stakeholders to maintain onboarding materials and ensure information stays accurate and current • Build scalable onboarding systems and feedback loops to improve the employee onboarding experience • Track onboarding completion metrics and new hire ramp performance • Develop onboarding programs for Account Executives, SDRs, and Customer Success Managers • Define role specific ramp milestones and time to productivity benchmarks • Continuously improve onboarding content based on product changes, pricing updates, and competitive shifts • Build sales playbooks for both PLG and enterprise sales motions • Create frameworks for discovery, qualification, messaging, objection handling, and deal progression • Partner with Sales leadership to operationalize sales methodologies such as MEDDPICC • Develop Customer Success onboarding, expansion frameworks, and QBR resources • Create expansion and upsell playbooks to support NRR growth • Partner with Customer Success leadership on enterprise account enablement strategies • Maintain competitive positioning resources and battle cards against infrastructure competitors • Gather feedback from Sales and Customer Success teams to improve messaging and objection handling • Partner with Product and Marketing to keep competitive materials current • Run recurring training programs focused on product updates, sales methodology, and role specific skills • Build self service enablement content libraries and coaching frameworks for managers • Track onboarding effectiveness, ramp metrics, win rates, conversion rates, and expansion metrics • Partner with Revenue Operations and People teams to build reporting infrastructure • Continuously improve programs using data and feedback • Leverage AI tools to scale onboarding, content creation, and competitive intelligence • Implement AI assisted coaching and conversational intelligence platforms • Develop scalable AI driven enablement systems that reduce operational overhead

• Own CRM architecture, data governance, and GTM systems across Sales, Marketing, and Customer Success • Build scalable analytics frameworks covering lead generation, pipeline conversion, retention, and expansion • Maintain revenue reporting models supporting ARR, MRR, NRR, CAC, LTV, and forecasting metrics • Evaluate and implement revenue technology systems including CRM, CPQ, BI, and forecasting tools • Design and manage revenue forecasting processes across enterprise and PLG motions • Lead weekly pipeline reviews and establish CRM hygiene standards • Build dashboards and reporting infrastructure for executive and board level visibility • Partner with Finance and executive leadership on compensation planning and territory design • Build scenario planning models for quota capacity and headcount forecasting • Ensure compensation plans and payouts are accurate and transparent • Provide strategic oversight for Deal Desk and Enablement functions • Partner on CPQ implementation, onboarding infrastructure, and GTM playbook development • Serve as the operational bridge between Sales, Marketing, Finance, Legal, and Customer Success • Partner with Finance on revenue recognition and ARR reporting standards • Partner with Legal on contract workflows and governance • Implement AI tools and workflow automation across Revenue Operations • Evaluate AI assisted forecasting, pipeline scoring, and automation platforms • Build scalable operational systems that improve efficiency without requiring proportional headcount growth

• 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.

• Increase platform uptime and reduce incident frequency and duration • Establish and operationalize SLIs/SLOs across services • Improve MTTR through better tooling, automation, and runbooks • Strengthen production readiness standards • Drive long-term systemic reliability improvements • Define and implement SLIs/SLOs for critical services • Lead incident response and coordinate cross-team mitigation efforts • Conduct blameless postmortems and ensure corrective actions are completed • Perform production readiness reviews for new services and features • Identify systemic risks and drive preventative improvements • Design and improve monitoring, alerting, and dashboards (Prometheus, Grafana, etc.) • Improve signal-to-noise ratio in alerts and reduce alert fatigue • Build internal tooling for reliability tracking and reporting • Improve visibility into GPU performance and distributed systems health • Automate recurring operational workflows • Build tools and scripts (Python, Go, Bash) to eliminate manual processes • Improve deployment safety through automation and guardrails • Strengthen CI/CD reliability and release processes • Partner with engineering teams to improve system resilience • Provide guidance on fault tolerance, scalability, and failure handling • Contribute to architectural discussions with a reliability-first mindset

• Own Runpod's developer relations strategy: define the programs, content, and engagement motions that drive developer adoption, education, and advocacy • Create high-quality technical content: tutorials, guides, sample applications, benchmarks, integration walkthroughs, and video demos that help developers succeed on the Runpod platform • Build and maintain reference architectures, sample repos, and integration examples that demonstrate Runpod's capabilities across inference, training, fine-tuning, and agent workloads • Represent Runpod at developer conferences, meetups, and community events (AI/ML conferences, KubeCon, NVIDIA GTC, PyCon, etc.); deliver technical talks and workshops • Engage actively in the open-source AI ecosystem: contribute to relevant projects, build integrations with popular frameworks (PyTorch, Hugging Face, vLLM, LangChain, etc.), and cultivate relationships with maintainers • Build relationships with AI/ML influencers, YouTubers, technical bloggers, and educators who reach Runpod's target audience; support and enable their content creation efforts • Collaborate with Content and Marketing to align technical content with product launches, campaigns, and positioning • Contribute to Runpod's documentation and developer experience by identifying gaps, writing docs, and working with Product to improve onboarding flows • Own end-to-end community strategy and day-to-day operations across Discord (primary), Reddit, GitHub Discussions, social channels, and any emerging platforms where Runpod developers congregate • Build and manage community programs that drive engagement, retention, and advocacy: ambassador/champions programs, power-user recognition, community challenges, template showcases, and office hours • Create and maintain community onboarding flows that reduce time-to-first-value for new Runpod users and connect them to relevant resources, templates, and peers • Monitor and synthesize community conversations to surface product feedback, bug reports, feature requests, and emerging use cases to Product, Engineering, and Marketing teams on a structured cadence • Develop and enforce community guidelines that maintain a welcoming, high-signal environment while scaling membership; recruit and manage volunteer moderators as the community grows • Plan and execute community events including AMAs with Runpod engineers, community showcases, hackathons, and virtual meetups • Partner with Support and Product to build self-serve knowledge resources (FAQs, troubleshooting guides, best practices) that reduce support ticket volume and improve developer self-sufficiency • Track and report on combined DevRel and community impact metrics: content engagement, developer activation, community health (active members, engagement rates, response times, sentiment), conference ROI, community-sourced feedback volume, and influence on product adoption • Identify and cultivate relationships with high-value community members and open-source contributors who can become ambassadors, content contributors, or case study candidates • Partner with Product and Engineering to close the feedback loop between what developers experience in the community and what Runpod builds; advocate for developer experience improvements internally

• Own docs.runpod.io end-to-end as a product, including information architecture, content strategy, structure, and continuous improvement of all documentation surfaces • Design and maintain a documentation experience that enables developers and agents to quickly understand, integrate, and successfully operate on Runpod with minimal friction or ambiguity • Create and curate high-quality technical content across APIs, SDKs, tutorials, quickstarts, and conceptual guides, ensuring accuracy, clarity, and consistency with the evolving platform • Partner deeply with product, engineering, and DevRel to translate complex systems into intuitive, usable documentation, and ensure docs are shipped in lockstep with product releases • Establish documentation standards, tooling, and review processes to ensure scalability, consistency, and high signal-to-noise across all content • Instrument and iterate on documentation using feedback, usage data, and developer behavior to continuously improve both human and agent consumption of Runpod capabilities • Stay up-to-date with the latest trends in AI, machine learning, and cloud computing to inform content creation • Analyze content performance and user engagement to continually improve content strategy