Runpod, Inc.

You will own the marketing tech stack and integrate it with various systems to ensure efficient lead management. Additionally, you will design and implement marketing campaigns and maintain the operational infrastructure. | Candidates should have over 3 years of experience in Marketing Operations or related fields, with deep expertise in HubSpot and SaaS platform integrations. Proficiency in data analysis and a proactive mindset are also essential. | Runpod is pioneering the future of AI and machine learning, offering cutting-edge cloud infrastructure for full-stack AI applications. Founded in 2022, we are a rapidly growing, well-funded company with a remote-first organization spread globally. Our mission is to empower innovators and enterprises to unlock AI's true potential, driving technology and transforming industries. Join us as we shape the future of AI. You will be the foundational hire for the Marketing Operations function within Runpod’s lean, high-impact Marketing team. Our team operates at the intersection of developer community building, high-leverage content creation, and data-driven growth strategies. We prioritize speed, experimentation, and measurable outcomes. We are builders who believe that the best marketing for a technical product is often technical itself. While you will sit within the Marketing team, your function is inherently cross-functional, requiring tight alignment with our RevOps, Sales, and Product teams to ensure a seamless end-to-end customer journey from prospect to power user. Runpod is seeking its first dedicated Go-to-Market (GTM) Engineer to serve as our Marketing Operations Lead. This is a high-visibility, high-autonomy role critical to scaling our Product-Led Growth (PLG) and Sales-Led Growth (SLG) motions. You are the technical backbone of our marketing strategy, responsible for designing, implementing, and maintaining the systems that capture, nurture, and route leads with efficiency and precision. The scope of this role is broad: you will own our marketing tech stack, starting with HubSpot, and integrate it with our website (Webflow), product data, and RevOps systems. Your success will be measured by the operational efficiency you bring to the GTM teams, the quality and flow of data, and your ability to rapidly stand up and measure complex, automated campaigns Your Impact This role offers a unique opportunity to define and build a GTM operations function from the ground up within one of the fastest-growing AI infrastructure companies globally. You won't just be maintaining existing systems; you will be the primary architect of the operational engine that turns website visitors into enterprise customers. You will innovate on how we use data to personalize experiences at scale, directly influencing pipeline velocity and revenue attribution. Your work will empower the marketing and sales teams to operate faster, smarter, and with greater precision, making you an indispensable part of Runpod’s journey toward powering the AI revolution. Responsibilities: Marketing Technology Stack Ownership & Architecture System Integration: Design and implement robust, scalable integrations between core marketing systems (HubSpot, Webflow CMS, product analytics, data warehouses, etc.) using APIs, webhooks, and automation platforms. HubSpot Administration: Serve as the primary administrator for HubSpot Marketing Hub and Sales Hub, managing data governance, custom objects, user roles, lead scoring models, and ensuring system health. Infrastructure Reliability: Ensure the reliability, security, and scalability of all marketing operations infrastructure, acting as the primary troubleshooter for system errors and data flow issues. Operationalizing GTM Motions (PLG & SLG) Campaign Enablement: Stand up, configure, and QA all technical aspects of marketing campaigns, including landing pages, forms, email sequences, tracking parameters (UTM), and lead capture flows. Lead Routing & Management: Develop sophisticated, real-time lead routing logic that seamlessly passes high-intent signals from the product usage data (PLG motion) and marketing activities to the appropriate sales representatives (SLG motion). Workflow Automation: Build and optimize automated nurture workflows and triggers that move prospects efficiently through the marketing and sales funnel without manual intervention. Data Management, Analytics, & Alignment Data Governance & Quality: Establish and enforce data hygiene standards and data governance policies to ensure the integrity, completeness, and reliability of all GTM data. RevOps Alignment: Collaborate closely with the broader Revenue Operations function to ensure seamless handoffs, shared data definitions, and consistent reporting across the entire customer lifecycle. Performance Measurement: Build the tracking infrastructure required for accurate attribution reporting and GTM dashboards, empowering the marketing and leadership teams with actionable performance insights. Requirements: 3+ years of experience in Marketing Operations, Sales Operations, or a GTM Engineering role. Deep expertise as a hands-on administrator of HubSpot (Marketing and/or Sales Hub required); certifications are a plus. Proven experience integrating SaaS platforms using APIs, webhooks, and automation tools (e.g., Zapier, Make, Workato). Strong understanding of GTM fundamentals, including lead scoring methodologies, lead-to-account matching, attribution models, and the modern B2B/PLG marketing and sales funnel. Proficiency in data manipulation and analysis using SQL or advanced spreadsheet functions. Experience working with CMS platforms like Webflow, specifically connecting forms and tracking code. Excellent problem-solving skills and a highly proactive, self-starter mindset. Successful completion of a background check. Preferred: Experience with a high-growth startup in the B2B SaaS or developer tools space. Comfort with light scripting/coding (Python, JavaScript) to handle complex integrations where off-the-shelf tools fall short. Experience operationalizing both Product-Led Growth (PLG) and Sales-Led Growth (SLG) motions. Prior experience aligning systems within a RevOps structure. A passion for AI, high-performance computing, and the developer ecosystem. What You’ll Receive: The competitive base pay for this position ranges from $100,000 - $165,000. 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 — we cover 100% for all employees and partial for dependents. 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

Lead and manage complex cross-functional technology projects from planning to delivery, ensuring alignment with technical requirements and stakeholder expectations. | Minimum of 3 years in technical program management with experience in SaaS/IaaS, SDLC, and working with engineering teams in fast-paced environments. | Runpod is pioneering the future of AI and machine learning, offering cutting-edge cloud infrastructure for full-stack AI applications. Founded in 2022, we are a rapidly growing, well-funded company with a remote-first organization spread globally. Our mission is to empower innovators and enterprises to unlock AI's true potential, driving technology and transforming industries. Join us as we shape the future of AI. We’re seeking a Technical Program Manager (TPM) who combines strong technical depth with exceptional organizational and communication skills. The ideal candidate is a self-starter who thrives in a fast-paced, dynamic environment and can drive execution through ambiguity with confidence and clarity. As a TPM at Runpod, you’ll play a central role in leading complex, cross-functional programs across product and platform teams, working closely with engineering leads and cross-company stakeholders to ensure we deliver with speed, precision, and impact. You’ll anticipate challenges and help teams stay focused on what truly matters. Through strong communication, alignment, and proactive risk management, you’ll drive the successful delivery of high-impact projects that create value for customers and shape the future of Runpod. The ideal candidate is a dynamic problem solver - not a pure process follower. Responsibilities: Develop and execute comprehensive project plans, incorporating technical requirements, resource allocation, and timelines to ensure timely and successful delivery of technology projects. Lead and oversee the full project lifecycle - from defining scope, allocating resources, and setting timelines to execution and delivery - while acting as the primary point of contact for stakeholders. Proactively identify and mitigate risks, address roadblocks, and maintain transparent communication to ensure alignment, timely progress, and successful outcomes. Foster transparent and open communication channels within the team and external stakeholders. Monitor project progress, adjust plans and schedules as needed, and provide stakeholders with regular status updates. Determine and oversee frequent testing, evaluation, and troubleshooting of products in all stages of completion. Manage ticket workflow by gathering information, seeking clarity on requests, ensuring prioritization, and tracking ticket progress to meet deadlines. Utilize technical fluency to evaluate and recommend appropriate project implementation technologies, platforms, and vendor products. Evaluate project outcomes and conduct post-project reviews to identify areas for improvement Work with Data, Product, and Engineering Leads to define and track success metrics that tie every launch to real-world results. Partner with the SRE team to promote visibility into infrastructure health, and work with stakeholders to balance investment in reliability and new features. Requirements: 3+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in a fast-paced environment. Proven track record of working with at least 3 cross-functional teams to deliver multiple high-impact features from planning through launch. Strong technical skills and background in engineering and building scalable SaaS/IaaS products or services. Strong quantitative, critical thinking, and problem-solving skills with a focus on leveraging data to improve efficiency and delivery processes. Deep understanding of the software development lifecycle (SDLC) and how engineering teams design, build, test, and ship products. Highly organized, detail-oriented, and proactive in identifying and resolving issues before they become blockers. Demonstrated ability to independently build, track, and execute programs from start to finish in dynamic, fast-paced environments with multiple dependencies, competing priorities, and tight deadlines. A collaborative team player who values ownership, clarity, accountability, and follow-through over rigid process. Exceptional verbal and written communication skills, with a strong sense of personal ownership and the ability to align stakeholders across teams. Innovative and solution-oriented, comfortable adapting to changing priorities and resolving challenges collaboratively with creative solutioning. Steady under pressure and comfortable navigating ambiguity with calm and confidence. Successful completion of a background check Preferred: Previous experience in AI/ML developer platforms or infrastructure-focused organizations. Good understanding of database design principles and distributed systems. Experience in a fast-paced startup environment Technical degree in Computer Science, Engineering, or related field What You’ll Receive: The competitive base pay for this position ranges from $120,000 - $160,000. 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 — we cover 100% for all employees and partial for dependents. 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

Leading and scaling engineering teams responsible for delivering customer-facing AI platform features, ensuring high velocity, quality, and alignment with business goals. | Over 7 years of engineering leadership, full-stack/backend SaaS product expertise, strong technical fluency, and experience in remote team management. | Runpod is pioneering the future of AI and machine learning, offering cutting-edge cloud infrastructure for full-stack AI applications. Founded in 2022, we are a rapidly growing, well-funded company with a remote-first organization spread globally. Our mission is to create a foundational platform for developers to build and run custom AI systems that scale. Join us as we shape the future of AI. We’re looking for a Director of Software Engineering to lead and scale Runpod’s product-delivery engineering organization. This role owns the end-to-end delivery of customer-facing platform features - from roadmap execution to high-quality launches - across multiple teams. You’ll build the operating rhythm, culture, and technical direction that help Runpod ship quickly, safely, and consistently as demand scales. You will partner tightly with Product, Design, GTM, and Infrastructure leadership.Your focus is ensuring our customers experience Runpod as the fastest, most intuitive path to training and running AI inference workloads. Responsibilities Own Product Feature Delivery: Lead multiple engineering teams responsible for shipping new features and improving Runpod’s customer experience across console, APIs, and developer workflows. Ensure predictable, high-velocity execution. Translate Roadmap into Results: Partner with Program management, Product and GTM to shape strategy, define quarterly goals, and convert requirements into clear technical scopes, milestones, and measurable outcomes. Build a High-Output Org: Hire, mentor, and grow engineering managers and senior ICs. Create a culture of ownership, speed, and craft in a remote-first environment. Drive Cross-Functional Launch Excellence: Run feature lifecycle processes - discovery support, design/architecture reviews, build phases, QA and rollout plans, release comms, and post-launch iteration. Improve Engineering System & Flow: Establish and evolve standards for lifecycle management, sprint/kanban execution, code review, CI/CD quality gates, release safety, documentation, and retrospectives. Customer-Backed Prioritization: Ensure engineering work aligns to user impact and business value. Constantly leverage customer insights, product analytics, and operational data to refine priorities. Quality & Velocity Leadership: Balance speed and reliability by improving automated testing, staging/preview environments, observability for product surfaces, and regression prevention. Technical Guidance on Product Surfaces: Provide architectural oversight for product systems (backend services, APIs, user workflows, integrations), ensuring scalability and coherence without bottlenecking teams. Partner with Infrastructure Leadership: Coordinate dependencies cleanly with infra/SRE teams to ensure high quality product delivery. Requirements Engineering Leadership Experience: 7+ years leading software engineering teams including managers and/or multiple squads, with a proven record of shipping customer-facing products. Product Delivery Strength: Demonstrated ability to take complex roadmap goals from concept through launch, balancing scope, risk, timelines, and quality. Full-Stack or Backend Product Expertise: 8+ years building SaaS, platforms, or developer-facing products. Comfortable with modern backend stacks and pragmatic architectural decisions. Technical Fluency: Ability to go deep in system design and code when needed; experience with Go, Python, and/or TypeScript strongly preferred. Remote-First Operating Excellence: Experience building culture, accountability, and momentum across distributed teams. Process & Metrics Mindset: Strong use of delivery metrics (cycle time, throughput, escape defects, reliability, adoption), and experience improving team flow. Communication & Collaboration: Clear written and verbal communication, strong stakeholder management, and calm leadership through ambiguity. Successful completion of a background check. Preferred Qualifications Experience building cloud or developer platforms, APIs, or workflow-heavy products used by technical customers. Expertise with AI/ML product surfaces such as job orchestration UX, model deployment flows, observability dashboards, or billing/usage systems. Track record of scaling product teams in high-growth environments. Open-source contributions or recognition with communities of developers. What You’ll Receive: The competitive base pay for this position ranges from ($200,000 - $275,000). 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 — we cover 100% for all employees and partial for dependents. 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

Lead a high-performance engineering team to deliver scalable, customer-facing AI platform features, translating product strategy into technical execution, and fostering a strong remote team culture. | Over 2 years of engineering management experience, 6+ years building high-scale products used by millions, strong systems-level technical depth in cloud or Linux systems, proficiency in backend or full-stack development, and experience with distributed/cloud-native architectures. | Runpod is pioneering the future of AI and machine learning, offering cutting-edge cloud infrastructure for full-stack AI applications. Founded in 2022, we are a rapidly growing, well-funded company with a remote-first organization spread globally. Our mission is to create a foundational platform for developers to build and run custom AI systems that scale. Join us as we shape the future of AI. We’re hiring an Engineering Manager to lead a high-impact product engineering team building customer-facing features across Runpod’s console, APIs, and developer workflows. You’ll take ownership of a roadmap area end-to-end - partnering with Product and Design to shape scope, then guiding your team through architecture, execution, quality, and launch. This role is ideal for a leader who’s shipped at millions-of-users scale, thrives in fast-moving environments, and can go deep technically in Linux systems internals and/or cloud systems engineering - you have experience building cloud platforms (control planes, orchestration, networking, storage primitives, kubernetes components), not just applications running on top of them. You’ll help Runpod deliver the fastest, most intuitive path for builders to train and deploy AI in production. Responsibilities Own Feature Delivery for a Product Area: Lead a team of engineers responsible for shipping new functionality and iterating existing product surfaces. Deliver predictable, high-velocity outcomes that improve customer experience and business value. Plan and Execute Roadmaps: Translate product strategy into clear technical plans, milestones, and success metrics. Identify tradeoffs early and manage scope, risk, and timelines. Technical Leadership & Architecture: Drive pragmatic system design for product-layer services and workflows, ensuring scalability, performance, and consistency with Runpod’s platform. Build and Grow a Strong Team: Hire, mentor, and develop engineers; set expectations, provide feedback, and create a culture of ownership, speed, and craft in a remote-first environment. Quality & Reliability for Product Surfaces: Improve automated testing, release safety, observability for customer-facing systems, and regression prevention. Ensure on-call health for your team’s services. Cross-Functional Collaboration: Partner tightly with Product, Program management, Support, GTM, and Infrastructure counterparts. Coordinate dependencies cleanly while maintaining clear ownership. Operational Excellence: Establish team rituals and delivery systems (sprints/kanban, retros, design reviews). Use data to improve cycle time, throughput, and feature adoption. Customer-Driven Execution: Stay close to user needs by incorporating feedback, analytics, and support signals into prioritization and iteration. Requirements Engineering Management Experience: 2+ years managing a team of high performance software engineers, including ownership of roadmap delivery, hiring/firing, performance, and team culture. High-Scale Product Delivery: 6+ years as a software engineer building and shipping products used by millions of users, with clear evidence of personal impact. Systems-Level Technical Depth: Strong experience with Linux systems internals and/or cloud systems engineering - ideally building platform capabilities (orchestration, control planes, distributed services, networking or storage layers). Backend or Full-Stack Proficiency: Comfortable reviewing and contributing to code in modern stacks; Go, Python, and/or TypeScript experience preferred. Distributed/Cloud-Native Architecture: Solid understanding of microservices, APIs, eventing, data stores, and service-to-service communication patterns. Delivery & Metrics Mindset: Experience running execution processes and using metrics like cycle time, throughput, adoption, and escape defects to improve team flow. Remote-First Leadership: Proven ability to communicate clearly, align stakeholders asynchronously, and sustain momentum across time zones. Successful completion of a background check. Preferred Qualifications Experience building AI/ML + developer platforms, workflow-heavy products, or infrastructure-adjacent product layers (e.g., job orchestration UX, deployment flows, usage/billing, observability surfaces). Familiarity with Kubernetes-based platforms, container runtimes, scheduling concepts, or GPU/accelerator workflows. Track record of scaling teams in high-growth environments while keeping quality high. Open-source contributions in cloud-native, systems, or ML-adjacent projects. What You’ll Receive: The competitive base pay for this position ranges from ($175,000 - $250,000). 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 — we cover 100% for all employees and partial for dependents. 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

Developing messaging, creating technical content, executing GTM strategies, and analyzing market and content performance. | 7+ years in technical B2B product marketing, deep technical fluency in AI infrastructure, strong writing skills, SEO expertise, and experience with AI tools. | Runpod is pioneering the future of AI and machine learning, offering cutting-edge cloud infrastructure for full-stack AI applications. Founded in 2022, we are a rapidly growing, well-funded company with a remote-first organization spread globally. Our mission is to empower innovators and enterprises to unlock AI's true potential, driving technology and transforming industries. Join us as we shape the future of AI. You'll join the marketing team at a pivotal moment. Runpod is scaling from a product-led growth engine into a dual-motion company that also serves customers from startup to enterprise. The marketing team works cross-functionally to drive awareness, product adoption, and revenue across our full customer base. This is a foundational role here at Runpod. You'll work at the intersection of product, marketing, and sales to ensure Runpod's GTM motion is sharp, defensible, and scalable. You'll be responsible for articulating why Runpod wins in the competitive neocloud market and how we differentiate as the AI infrastructure platform of choice. You'll be the strategic voice that translates Runpod's differentiation into compelling narratives and educational content that drive awareness, adoption, and expansion. You'll own the full product and content marketing function, from positioning and messaging to launch strategy, competitive intelligence, sales enablement, customer insights, and middle-of-funnel content development. This role uniquely combines strategic product marketing with hands-on content creation, all while operating in a lean, AI-enabled model. You'll not only define what to say and who to say it to, but you'll also create the long-form, technical content that educates prospects, builds trust, and accelerates buying decisions, leveraging AI tools to scale output, maintain quality, and operate efficiently as a team of one initially. You need knowledge and the aptitude in marketing highly technical products and solutions such as understanding the AI infrastructure, AI/ML workflows, serverless architecture, and cloud economics, and being able to distill complex concepts into clear, relatable narratives that resonate with technical buyers and business decision-makers. The ideal candidate has deep experience in technical B2B product marketing, is a strong writer who can create compelling long-form content, is proficient at leveraging AI to scale work, and has a track record of scaling GTM motions from product-led growth into larger deals. Responsibilities: Own and evolve Runpod's core positioning, messaging hierarchy, and value propositions across all customer touchpoints. Develop messaging that differentiates Runpod in the market and clearly articulates our technical and experience advantages. Create and maintain a messaging framework that balances technical depth with accessibility for business decision-makers. Partner with brand and demand gen teams to ensure messaging consistency across all channels (web, docs, sales, community). Own the creation of long-form, technical content that educates prospects and accelerates buying decisions—including comparison guides, technical explainers, ROI frameworks, use case deep-dives, architecture guides, and competitive analyses. Develop and execute an SEO/GEO-driven content strategy that captures high-intent search traffic, ranks for critical buying keywords, and drives qualified inbound pipeline. Analyze content performance (engagement, conversion, pipeline influence, organic traffic, keyword rankings) and iterate on formats, topics, and distribution strategies. Build a repeatable, AI-assisted content creation process that can scale as the team grows, including templates, briefs, and quality standards. Lead GTM strategy for all major product launches, pricing changes, and market expansions, from concept through launch and post-launch optimization. Drive cross-functional alignment across product, marketing, and sales to ensure coordinated, high-impact launches. Own competitive intelligence: track the neocloud market landscape, synthesize insights, and translate them into actionable GTM strategies and content. Develop customer evidence programs (case studies, testimonials, reference customers) that build credibility and de-risk buyer decisions. Conduct customer research (interviews, surveys, win/loss analysis) to understand buyer motivations, decision criteria, pain points, and objections. Synthesize product usage data, customer feedback, and market signals to inform messaging, positioning, content strategy, and product prioritization. Serve as the voice of the customer in internal strategy discussions, ensuring GTM and content decisions are grounded in real customer needs and market dynamics. Establish the product marketing and content function at Runpod: build processes, templates, and systems that scale as the company and team grow. Requirements: 7+ years of product marketing experience in technical B2B or developer-focused companies, with at least 3 years in a senior or leadership role. 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. What You’ll Receive: The competitive base salary for this position ranges from $160,000 to $220,000. The final salary will be determined during the interview process, based on factors such as the candidate's experience, qualifications, and location. Stock options The flexibility of remote work with an inclusive, collaborative team. An opportunity to grow with a company that values innovation and user-centric design. Generous vacation policy to ensure work-life harmony and well-being. Contribute to a company with a global impact based in the US, Canada, and Europe. 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