Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure is building a global practice for Managed Service Providers from zero: The program, the proposition, and the wins that prove it out. As Senior Solutions Architect, MSP, you're the technical front line: helping define how Everpure goes to market with MSPs, then taking that straight to the field to win deals. You'll work shoulder-to-shoulder with MSP architects and their end customers, fluent in cost-per-tenant economics one minute and whiteboarding architecture the next. There's no playbook yet; you'll be building it and proving it, deal by deal. WHAT YOU'LL DO Own technical leadership of MSP opportunities end to end: discovery, solution design, sizing, competitive positioning, POCs and technical close. Define the end-to-end service architecture — multi-tenancy, automation, provisioning, operational model and integration into the MSP's existing stack. Model and influence the commercial construct: unit economics, cost per tenant, Evergreen//One and consumption models. Displace competitors in MSP environments and position the full platform — FlashArray, FlashBlade, Portworx and Everpure Data Intelligence. Build technical credibility with MSP architects, practice leads and CTOs, growing a population of partner-side technical champions. Feed real MSP requirements back into the global MSP programme and Product Management, contributing reusable IP — reference architectures, sizing guides, service blueprints — fr
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About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth ca
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If you live and breathe LLM training and evaluation, communicate with unusual clarity, and want your judgment to matter in the room, this role offers a rare combination of technical range, client proximity, and real-world impact; Stay deeply current on LLM training, post-training, human data, benchmarks, and evaluation research, and translate new developments into practical implications for active and future client work; Strong working knowledge of LLM training and evaluation concepts, with the ability to reason across data modalities, collection methods, and research objectives; All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law
Department · Field Engineering
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Invisible Technologies
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