ScaleOps

Own positioning, messaging, and go-to-market strategies for products targeting technical buyers, lead analyst relations, and develop sales enablement materials. | 4-6 years B2B SaaS product marketing with deep Kubernetes and DevOps ecosystem knowledge and proven analyst relations experience. | ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free software engineers from manual resource management so they can focus on innovation, not infrastructure. As the category leader in Autonomous Cloud and AI Infrastructure Resource Management, we're trusted by leading enterprises including Adobe, Wiz, DocuSign, Coupa, and Fortune 100 companies to autonomously manage their most critical production environments. The result: maximized performance and cloud costs cut by up to 80%. Backed by Insight Partners, Lightspeed Venture Partners, and other leading VCs with over $210M in funding, ScaleOps is the leading player in a massive and growing market. We are building the autonomous infrastructure management platform that will power the next decade of enterprise compute. We're looking for a Product Marketing Manager to own how we position, launch, and communicate our products to the market, and to build ScaleOps' presence with the analyst community. This person will lead messaging, competitive intelligence, analyst relations, enablement content, and go-to-market strategies that resonate with technical buyers, from DevOps engineers to infrastructure-focused executives. Requirements 4–6 years of B2B SaaS product marketing experience, with devtools, infrastructure, or cloud as a strong plus Proven ability to translate complex technical concepts into strategic business narratives that resonate with both technical and executive audiences Exceptional writing and storytelling skills, with a developer-savvy tone and strong instincts for what lands with infrastructure buyers Experience owning product launches end-to-end, with a track record of driving measurable pipeline impact Hands-on experience managing analyst relations, including briefings, inquiries, and report participation with major firms Comfortable operating in a fast-paced startup environment with a high degree of autonomy Deep knowledge of Kubernetes, cloud cost, or the DevOps ecosystem is a must Curiosity about AI tools and how they can accelerate research, content, and go-to-market execution Responsibilities Define and continuously refine messaging and positioning for ScaleOps products and features, ensuring clarity and consistency across all channels and audiences Lead end-to-end GTM strategy for product launches, from naming and positioning through enablement, campaign orchestration, and post-launch measurement Own analyst relations completely, including managing relationships with firms like Gartner and Forrester, coordinating briefings and inquiries, responding to research requests, and ensuring ScaleOps is accurately and favorably represented in relevant reports and evaluations Conduct win/loss interviews, competitive analysis, and customer research to sharpen positioning and keep the team ahead of market shifts Develop high-quality sales and customer-facing materials, including pitch decks, one-pagers, battlecards, and technical explainers Collaborate closely with Product, Sales, DevRel, and Content to ensure a unified narrative across the funnel Act as the voice of the market in roadmap planning, pricing discussions, and strategic initiatives Identify opportunities to incorporate AI tools into content creation, competitive research, and campaign workflows to increase speed and quality of output Track and report on PMM impact across pipeline influence, win rates, analyst positioning, and content usage

Lead marketing operations systems, analytics, and AI adoption to optimize campaign performance and funnel visibility. | 5+ years marketing operations experience with HubSpot, Salesforce, marketing automation, analytics, and AI tool application in a startup environment. | ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free software engineers from manual resource management so they can focus on innovation, not infrastructure. As the category leader in Autonomous Cloud and AI Infrastructure Resource Management, we're trusted by leading enterprises, including Adobe, Wiz, DocuSign, Coupa, and Fortune 100 companies, to autonomously manage their most critical production environments. The result: maximized performance and cloud costs cut by up to 80%. Backed by Insight Partners, Lightspeed Venture Partners, and other leading VCs with over $210M in funding, ScaleOps is the leading player in a massive and growing market. We are building the autonomous infrastructure management platform that will power the next decade of enterprise compute. We're looking for a Senior Marketing Operations & AI Manager to own the systems, processes, and data that power our marketing machine. This is a multidimensional role: you'll be the operational backbone of the marketing team, own performance analytics and funnel visibility, and actively drive AI adoption across marketing workflows, all in close collaboration with the Growth and GTM teams. Requirements: • 5+ years of experience in marketing operations or a related field • Proven expertise in HubSpot and Salesforce, including integrations and campaign performance tracking • Strong background in email marketing, lead nurturing, and marketing automation • Hands-on experience with analytics and reporting, including building dashboards, measuring funnel performance, and driving data-informed decisions • Genuine curiosity about AI tools and a track record of applying them to improve marketing efficiency and outcomes is a strong advantage • Data-driven mindset with a passion for testing, optimization, and process improvement • Understanding of full-funnel infrastructure, from top-of-funnel traffic through SQLs, closed-won customers, and renewals • Experience in a fast-paced startup environment is a must • Familiarity with DevOps, cloud infrastructure, or Kubernetes is a significant advantage Responsibilities: • Own and optimize HubSpot end-to-end, with working knowledge of Salesforce for field mapping and lead flow alignment • Design, implement, and continuously improve email marketing and nurture campaign strategies to drive engagement, lead progression, and conversion • Maintain operational workflows, scoring models, and segmentation strategies that support personalized, scalable campaign execution • Build and own marketing analytics frameworks, including dashboards, attribution models, and funnel reporting, that give clear visibility into campaign ROI and pipeline contribution • Analyze campaign and channel performance and translate findings into actionable recommendations for the team • Partner with the GTM Operations team to ensure data integrity and unified reporting across marketing and sales • Identify, pilot, and scale AI-powered tools and workflows within the marketing team, from intelligent segmentation and lead scoring to content automation and campaign optimization • Assist with event operations: flows, routing, landing pages, and reporting • Work cross-functionally with content, demand generation, and SDR teams to support pipeline growth • Be the go-to operational and data resource for the marketing team

As a Technical Support Engineer, you will be the first line of defense for resolving complex technical issues and ensuring customer-reported incidents are addressed within defined SLAs. You will collaborate with various teams to improve the platform based on recurring customer issues. | The role requires strong hands-on Kubernetes troubleshooting experience and familiarity with cloud-native environments. A proven ability to work under pressure and prior experience supporting technical platforms in production environments are also essential. | Description ScaleOps, the leader in real-time automated cloud resource management, is revolutionizing how DevOps teams manage their cloud-native application infrastructures. Backed by venture capital and software industry titans, ScaleOps’ platform removes the organizational friction between application owners and DevOps teams by fully automating the resource management process to meet real-time demand. The ScaleOps platform dynamically manages the application’s resource allocation, eliminating the need for manual intervention. The result is improved application performance, 60%- 80% cloud cost savings, and a fully automated allocation process. With well over $80 million in backing, ScaleOps has seen tremendous business growth, attracting global industry leaders to its customer base. ScaleOps automatically manages the production environments of over 50 enterprises, including Wiz, CATO Networks, Outreach, SentinelOne, Maxar, Playtika, Orca Security, EQ Bank, Outbrain, PayU, and Noname. About The Role As a Technical Support Engineer at ScaleOps, you will be the first line of defense for resolving complex technical issues that go beyond platform usage. You’ll be responsible for monitoring, triaging, and resolving customer-reported incidents, ensuring problems are addressed within defined SLAs. You will collaborate closely with R&D, Customer Success, and Product to help improve the platform based on recurring customer issues. What You Will Be Doing: Serve as the primary point of contact for customer-reported technical problems related to installation, Helm configuration, permissions, and integrations. Monitor internal customer issue alerts 24/7 and respond promptly. Manage and own the ticketing system, ensuring timely updates and resolutions. Troubleshoot Kubernetes-related issues such as ingress, SSO, and other integrations. Escalate issues to the appropriate teams with clear documentation, logs, and context. Reproduce, investigate, and document bugs for R&D. Maintain and expand the support knowledge base. Identify and communicate recurring issues to drive product improvements. Requirements Strong, hands-on Kubernetes troubleshooting experience (kubectl, Helm, networking). Familiarity with cloud-native environments, including EKS, GKE, AKS, IAM, and cloud networking concepts. Proven ability to work under pressure while maintaining clear and concise communication. Detail-oriented and SLA-driven mindset. Prior experience supporting technical platforms in production environments.