Runpod

Runpod is the foundational platform for developers to build and run custom AI systems that scale. With over 500,000 developers worldwide and an annual recurring revenue run rate exceeding $120M, Runpod operates at the intersection of developer velocity and production-scale AI. Founded in 2022, we’ve grown rapidly by building infrastructure purpose-built for modern AI workloads. Our platform enables teams to move from experimentation to deployment with flexibility across cloud, on-prem, and hybrid environments. As a remote-first, globally distributed company, we are building the infrastructure layer that powers the next generation of AI systems. The Reliability team owns the availability, performance, and operational excellence of Runpod’s global platform. While infrastructure teams build the systems, the Reliability team ensures those systems remain resilient, observable, and scalable under real-world production conditions. This team is responsible for: - Defining and enforcing reliability standards across engineering - Designing incident response processes and improving recovery times - Building observability systems and reliability tooling - Driving SLO adoption and production readiness reviews Reducing operational toil through automation The Reliability team works cross-functionally with Infrastructure, Product Engineering, and Support to ensure our systems remain stable and performant as we scale rapidly. We value proactive problem solving, automation-first thinking, and strong ownership of production systems. As a Site Reliability Engineer on the Reliability team, you will focus on ensuring the stability and resilience of Runpod’s distributed platform. You will partner with engineering teams to improve system design, strengthen observability, and prevent incidents before they happen. This role blends software engineering with production operations. You’ll work on reliability frameworks, SLO design, automation, and production hardening, reducing errors and improving performance across different services and infrastructure. This is a high-impact role central to maintaining trust with developers running critical AI workloads on Runpod. Your Impact - 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 You will influence how reliability is defined and measured across Runpod and help build the operational backbone of the company. Responsibilities:Reliability Engineering - 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 Observability & Monitoring - 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 Automation & Toil Reduction - 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 Cross-Functional Reliability Advocacy - 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 Requirements: - 5+ years of experience in SRE, Reliability Engineering, or Production Engineering - Strong Linux systems and Networking expertise - Experience managing containerized production systems - Strong understanding of distributed systems and failure modes - Experience defining and managing SLIs/SLOs - Proven incident response and postmortem leadership experience - Strong scripting or programming skills - Experience with monitoring and alerting systems - Excellent written communication skills - Successful completion of a background check Preferred: - Experience with GPU infrastructure or AI/ML platforms - Experience improving reliability in high-growth or large scale environments - Familiarity with GPU observability tooling - Experience with Infrastructure as Code - Experience working in startup environments - Experience building internal reliability platforms or frameworks What You’ll Receive: - The competitive base pay for this position ranges from $150,000- $200,000 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. 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.

• 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

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. As an Account Manager at Runpod, your primary responsibility will be to nurture and grow relationships with existing customers. You will focus on retention, expansion, and ensuring clients extract maximal value from our AI infrastructure platform. This role sits at the intersection of customer success and sales, with a bias toward retention and upsells rather than new business hunting. Success in this role is measured through key performance indicators such as retention and renewal rates, expansion revenue, and overall account health. You’ll be responsible for meeting or exceeding annual renewal targets while also driving upsell and cross-sell opportunities that contribute to year-over-year net revenue retention growth. Strong performance is demonstrated not just through numbers, but through high customer satisfaction, thoughtful account planning, and accurate forecasting within the CRM. Maintaining portfolio stability, achieving positive customer sentiment, and supporting measurable account expansion will all be essential to your success as an Account Manager at Runpod. Responsibilities: - Serve as the main point of contact for a portfolio of existing accounts. - Monitor account health metrics (usage, billing, feature adoption, churn risk) and proactively intervene. - Drive renewals, upsells, and cross-sells by identifying expansion opportunities (e.g. more GPU capacity, new feature modules, premium support plans). - Conduct business reviews (QBR/MBR) to update clients on ROI, roadmap, usage insights, and new offerings. - Liaise with product, engineering, and support teams to resolve customer issues, advocate for feature enhancements, and remove blockers. - Build account plans, forecasts, and growth strategies for each client. - Track key account metrics (e.g. churn rate, net revenue retention, expansion revenue, customer satisfaction) and report them to leadership. - Handle contract renewals, negotiation, and escalations. - Maintain accurate data in CRM (deal pipeline, account notes, forecasts) - Occasionally assist in onboarding or transitions of new clients within your portfolio. - Periodic travel to visit top customers or represent Runpod at key industry events. Requirements: - 2–5 years of experience in account management, customer success, or post-sales roles (ideally in SaaS, cloud, or infrastructure). - Strong technical acumen with the confidence to engage both developers and executives - Strong relationship skills; ability to manage multiple stakeholders (technical and business). - Good understanding of metrics like churn, usage, ARR/MRR, net revenue retention. - Comfortable analyzing usage data, spotting trends, and making recommendations based on that. - Excellent communication (verbal and written) and presentation skills. - Proficiency with CRM, analytics tools, and Slack-like collaboration platforms. - Self-starter and ability to take ownership of accounts end-to-end. - Bonus: familiarity with cloud, GPU infrastructure, AI/ML, or developer tooling. - Successful completion of a background check What You’ll Receive: - The competitive OTE for this position ranges from 130,000 and 250,000. This is a mix of base plus commission. This 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 AI infra 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 have 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

• 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

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 Sr 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. - Continuously Improve Engineering System & Flow: Drive measurable improvements in delivery and reliability through metrics such as cycle time, throughput, defect failure rate, incident frequency, escape defects, adoption, and retention. - 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. - Architectural Stewardship Without Becoming a Bottleneck: 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 (80+ person group), 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. - 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 ($225,000 - $325,000). 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