[![Image]() Meet Jobicy Copilot — free AI autofill for job applications + remote job alerts ›](#) [All remote jobs](https://jobicy.com/jobs.md)Open role[![UpBound logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/15c8fee6-221.png)](https://jobicy.com/company/upbound.md)Remote opportunity at[UpBound](https://jobicy.com/company/upbound.md) # Senior Product Marketing Manager Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/upbound.md)Share6 Sep 2026Published28Listing views0Application actions6 Oct 2026Apply before Opportunity details ## About this role. AI SummaryUpbound is seeking a senior product marketing leader to own go-to-market strategy for its AI inference and cloud infrastructure portfolio. The role covers positioning, messaging, competitive strategy, enterprise buyer research, launches, analyst relations, sales enablement, and pricing and packaging input. Candidates need deep B2B enterprise software marketing experience with technical infrastructure products, ideally spanning open-source and commercial offerings. Success requires translating complex AI, Kubernetes, and cloud platform capabilities into credible narratives for technical practitioners and executive buyers. The role operates in a fast-moving, ambiguous growth-stage environment with release cycles measured in weeks. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a high-seniority, zero-to-one product marketing position in an emerging AI infrastructure category. It demands technical fluency, strategic ownership, executive presence, and the ability to produce launch-ready work quickly with limited structure. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$185,000US market range$155k–$220k0$242k AI insightNo actual salary was disclosed in the posting; the figures are estimated US-market annual base-salary benchmarks for a Senior Product Marketing Manager with enterprise infrastructure, AI platform, and open-source go-to-market expertise. Total compensation may be higher when equity, bonus, or variable incentives are included. ## Core skills Skills and capabilities most closely associated with this opportunity. [Product marketing](https://jobicy.com/jobs?search_keywords=Product%20marketing.md)[Go-to-market strategy](https://jobicy.com/jobs?search_keywords=Go-to-market%20strategy.md)[Enterprise software](https://jobicy.com/jobs?search_keywords=Enterprise%20software.md)[AI infrastructure](https://jobicy.com/jobs?search_keywords=AI%20infrastructure.md)[Cloud infrastructure](https://jobicy.com/jobs?search_keywords=Cloud%20infrastructure.md)[Open-source commercialization](https://jobicy.com/jobs?search_keywords=Open-source%20commercialization.md)[Positioning and messaging](https://jobicy.com/jobs?search_keywords=Positioning%20and%20messaging.md)[Sales enablement](https://jobicy.com/jobs?search_keywords=Sales%20enablement.md)[Competitive intelligence](https://jobicy.com/jobs?search_keywords=Competitive%20intelligence.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md) Sample interview questionsHow would you create a positioning strategy for an AI inference product with both open-source and commercial offerings?I would begin with customer interviews across platform engineering, AI leadership, and procurement to identify unmet jobs, buying triggers, and proof requirements. I would then define a message architecture that clearly distinguishes community project value from commercial platform outcomes while showing how they reinforce each other. Finally, I would validate the narrative through sales conversations, win-loss evidence, competitive testing, and measurable adoption and pipeline outcomes. Describe a product launch you led for a highly technical enterprise product. I would explain the target buyer, market problem, differentiated claim, evidence plan, launch tiers, and cross-functional owners. A strong launch approach includes product readiness, customer validation, field training, analyst and press outreach, launch content, and post-launch measures such as influenced pipeline, product adoption, conversion, and message recall. How would you enable sales teams to sell an emerging infrastructure category to CIOs and platform engineers? I would build persona-specific plays that connect technical capabilities to operational and business outcomes. For platform teams, I would emphasize architecture, deployment patterns, reliability, and developer workflows; for executives, I would focus on governance, cost, risk, time to value, and strategic AI readiness. The enablement would include discovery questions, objection handling, competitive guidance, ROI models, and customer evidence. How do you stay credible when marketing products to deeply technical audiences? I invest in product immersion through engineering reviews, hands-on demos, architecture documentation, customer calls, and direct conversations with practitioners. I avoid unsupported claims, use precise technical language, and pressure-test messaging with engineers and users before broad release. Credibility comes from accurately representing both what the product does and where its boundaries are. What metrics would you use to evaluate product marketing effectiveness in this role? I would combine leading and lagging indicators: message validation, content and launch engagement, sales enablement adoption, competitive win rates, analyst traction, pipeline influence, conversion rates, deal velocity, and product adoption. For the open-source-to-commercial path, I would also track community engagement, qualified project users, product evaluation conversion, and expansion signals. Upbound is redefining how modern infrastructure is built for the Agentic AI Era. We’re the creators and primary maintainers of Crossplane, and we’re building the Intelligent Control Plane—a new platform layer that makes infrastructure programmable, autonomous, and composable. Our mission is to power the AI-native enterprise with a foundational platform layer that helps teams provision, operate, and adapt infrastructure at scale—so platforms are ready for both humans and AI agents. We partner with leading cloud providers, ISVs, and open-source communities to help organizations move faster with greater confidence. Today, Upbound supports Fortune 500 companies and platform engineers across 100+ countries. Crossplane has surpassed 100M+ downloads and is used by 1,000+ teams worldwide. We’re a Series B company backed by GV (formerly Google Ventures), Altimeter Capital, and Intel Capital, and we’ve raised $69M to date. Learn more at [upbound.io](http://upbound.io/) Upbound builds control planes for cloud and AI infrastructure. We created Crossplane and donated it to the CNCF, where it is a graduated project used by platform teams around the world. We are applying that same model to AI inference. Upbound is hiring a Senior Product Marketing Manager that will own go-to-market for that work. You will help define how enterprises understand our commercial product and our open source roots. The community narrative and the enterprise narrative have to reinforce each other without collapsing into each other. We are looking for someone who has done enterprise product marketing in growth stages and who is familiar with the Pragmatic Marketing discipline. You will need to be customer obsessed and be able to talk to a platform engineer to a VP of Engineering and VP of AI and who has worked inside an open core company. ### In this role you will… * Positioning and messaging for our AI inference portfolio. The message architecture, the value framework, and the proof behind every claim we make. * Competitive and market strategy. You track the AI inference and infrastructure landscape, arm the field, and hold a defensible point of view on where the category is going. * Launches, end to end. Narrative and press through analyst briefings through sales enablement, on a release cadence measured in weeks rather than quarters. * Enterprise buyer fluency. Persona and journey work for CIOs, VPs of Engineering, VPs of AI, and the platform teams who evaluate us. * Sales enablement sellers actually use. Sales plays, discovery questions, objection handling, cost and ROI models, customer stories. * Pricing and packaging input, grounded in how enterprises actually buy and budget for AI infrastructure. * The open source to commercial path. The relationship between what the project does and what the product does, and the narrative that differentiates each. * Customer obsessed. You are a named spokesperson. You brief analysts, prep executives, and show up on stage, on podcasts, and in the community. ### You are a good fit if you have… * 8+ years in B2B enterprise software product marketing, with meaningful time on infrastructure, developer, or data platform products sold to technical buyers. * Enterprise go-to-market that closed real revenue. You can describe deals your messaging influenced, the buyer roles in the room, and what changed because of the work you did. * Genuine technical depth. Working knowledge of AI and Inference, cloud infrastructure, and how modern software gets deployed and operated, with awareness of the Kubernetes ecosystem. * Open source and commercial experience in the same organization. You have marketed a project and a product side by side. You understand community trust, the open core line, contributor and maintainer dynamics. * Zero to one in an emerging category. You have taken a new, technically ambitious product to market before the analysts had a name for it. * Writing you did yourself. You ship copy. * Comfort with speed and ambiguity. Our releases ship in weeks. The AI infrastructure market is moving quickly. * Trust with engineers, and senior sales leaders. ### A plus if you… * Direct experience marketing AI or ML infrastructure, including inference serving, GPU capacity, or MLOps. * Fluency in the CNCF and/or PyTorch ecosystem * Hyperscaler or cloud marketplace route-to-market experience (AWS, Azure, GCP). * Training in a value messaging discipline such as Command of the Message, or an equivalent framework you have actually operationalized. * You have been the first or only PMM on a product and built the function from nothing. #LI-REMOTE ### Why Upbound? At Upbound, you’ll help shape the systems and strategies that drive predictable, scalable growth in a product-led company embracing usage-based models. If you’re excited to build from the ground up, work with cutting-edge cloud technologies, and directly impact how revenue is generated and scaled—this is your seat at the table. About Upbound Upbound is pioneering infrastructure platforms for the Agentic AI Era, serving Fortune 500 companies and platform engineers across more than 100 countries. The company empowers infrastructure and platform teams with Intelligent Control Planes – based on Kubernetes and Crossplane – that provision, operate, and adapt so platforms are ready for both humans and AI agents. Upbound is the creator and primary maintainer of Crossplane, the popular open-source framework for building cloud-native control planes, with over 100 million downloads and adoption by more than 1,000 teams worldwide. A Series B startup backed by GV (formerly Google Ventures), Altimeter Capital, and Intel Capital, Upbound has raised $69M to date. For more information, visit [www.upbound.io](http://www.upbound.io/). Show more [Apply now >](https://jobicy.com/jobs/152626-senior-product-marketing-manager-4.md) > Annual salary information is not provided for this position. 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