{"schemaVersion":"jobsearcher.job.v1","id":"07f514b6c059fee6fd0f8886","url":"https://jobsearcher.com/jobs/07f514b6c059fee6fd0f8886","canonicalUrl":"https://jobsearcher.com/jobs/07f514b6c059fee6fd0f8886","title":"Solutions Engineer","description":"Solutions EngineerWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.\r\nOverviewThere is no AI Strategy without a Data Strategy. Getting GenAI to work is mission critical for most companies, yet 90% of AI projects haven’t deployed. Poor data quality is the #1 obstacle in getting GenAI projects into production. Shelf unlocks AI readiness by eliminating bad data before it enters an LLM, enabling more accurate GenAI answers at scale.\r\nShelf partners with Microsoft, Salesforce, Snowflake, Databricks, OpenAI, and other tech leaders to bring GenAI to the enterprise. Our mission is to empower humanity with better answers everywhere.\r\nJob DescriptionThe Solutions Engineer is a forward‑deployed technical expert who independently leads proof‑of‑value engagements with enterprise prospects. You will combine deep technical expertise in data modeling and ontology design with hands‑on implementation skills to deliver rapid‑cycle pilots that demonstrate Shelf’s value and convert to closed deals.\r\nAs part of a small, fast‑moving team you’ll work with customers during 3‑5 day pilots, iterating quickly to prove measurable value. You’ll understand customer data architectures, design semantic models, and deliver technical solutions that drive sales success.\r\nWhat We’re Looking ForTechnical Depth– Strong data modeling, data platforms, and ETL/pipeline expertise; knowledge graphs and ontologies experience strongly preferred.\r\nForward‑Deployed Engineer– Comfortable operating independently with prospects and leading technical engagements with minimal supervision.\r\nTechnical Problem Solver– Writes Python scripts, automates workflows, and leverages AI coding tools to rapidly build and iterate solutions during customer engagements.\r\nCustomer‑Facing Excellence– Exceptional communication skills with technical and business stakeholders; comfortable presenting and iterating with customers.\r\nRapid Execution– Thrives in fast‑paced 3‑5 day pilot cycles; delivers value quickly and iterates based on feedback.\r\nSales‑Oriented Mindset– Understands enterprise sales cycles and is motivated by converting POVs to closed deals.\r\nContinuous Learner– Stays current with AI/GenAI trends, data technologies, and modern engineering practices.\r\nKey ResponsibilitiesLead independent POV engagements with enterprise prospects, designing custom ontologies and configuring solutions within 3‑5 day cycles.\r\nConduct technical discovery and present solutions to Data Engineers, Enterprise Architects, and AI/ML Engineers.\r\nSupport Account Executives throughout sales cycles with primary ownership during technical evaluation and POV phases.\r\nWork directly with Engineering on technical challenges and custom implementations during POVs.\r\nContinue engagement through deal closing and initial customer onboarding alongside Customer Success.\r\nSupport existing customer expansion opportunities as part of land‑and‑expand strategy.\r\nCollaborate with Field CTO to build reusable ontology templates and POV best practices.\r\nQualifications7‑10+ years in technical pre‑sales, data engineering, solutions architecture, or similar customer‑facing technical roles.\r\nStrong expertise in data modeling, data platforms, and ETL/data pipelines.\r\nExperience with knowledge graphs, ontologies, or semantic technologies strongly preferred.\r\nProficiency in scripting and automation (Python preferred).\r\nHands‑on experience with AI coding tools (Claude Code, Cursor, GitHub Copilot, etc.).\r\nDeep understanding of enterprise data platforms and cloud architectures (AWS, Azure, GCP).\r\nProven track record in customer‑facing technical roles with demonstrated sales impact.\r\nExceptional presentation and communication skills with technical and business audiences.\r\nBachelor’s degree in Computer Science, Engineering, Data Science, or related field.\r\nExperience in B2B SaaS, AI/ML, or data quality solutions preferred.\r\nSuccess MetricsPOV Conversion Rate– Achieve 70%+ conversion rate from pilot to closed deal.\r\nPOV Delivery Volume– Successfully deliver 8‑10 high‑quality POVs per quarter within 3‑5 day timeframes.\r\nARR Growth Contribution– Support overall company ARR growth through new customer acquisition and existing account expansion.\r\nTechnical Quality– Consistently deliver well‑designed ontologies and technical solutions that meet customer requirements.\r\nWhat We OfferRealistic, clearly communicated expectations.\r\nTeam‑wide aligned values and goals.\r\nComprehensive health and wellness packages.\r\nLocationRemote within the United States with flexibility for 50% travel for high‑stakes customer meetings, industry events, and internal leadership meetings.\r\nWhy ShelfGenAI will be at least a $18 Trillion market by 2032, and Shelf is a core infrastructure that enables GenAI to be deployed at scale.\r\nWe are blazing the path for the future of Artificial Intelligence globally.\r\nOur Leadership Team has deep AI domain expertise and enterprise SaaS background to execute this plan.\r\nWe love our customers…and they love us because of our innovative capabilities, rock‑solid reliability, and the improvements they see in their business KPIs.\r\nWe have raised over $60 million in funding; our investors include Insight Partners, Tiger Global, Base10, and others.\r\nWe have high‑velocity growth powered by the most innovative product in our category.\r\nWe now have over 100 employees across multiple U.S. states and European countries, and we have ambitious hiring goals over the next few quarters.#J-18808-Ljbffr","company":"Shelf","rawCompany":"shelf","city":"Henrico","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-06-02T03:13:50.711Z","occupations":[{"code":"41-9031.00","title":"Sales Engineers","slug":"sales-engineers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Solutions Engineer","description":"Solutions EngineerWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.\r\nOverviewThere is no AI Strategy without a Data Strategy. Getting GenAI to work is mission critical for most companies, yet 90% of AI projects haven’t deployed. Poor data quality is the #1 obstacle in getting GenAI projects into production. Shelf unlocks AI readiness by eliminating bad data before it enters an LLM, enabling more accurate GenAI answers at scale.\r\nShelf partners with Microsoft, Salesforce, Snowflake, Databricks, OpenAI, and other tech leaders to bring GenAI to the enterprise. Our mission is to empower humanity with better answers everywhere.\r\nJob DescriptionThe Solutions Engineer is a forward‑deployed technical expert who independently leads proof‑of‑value engagements with enterprise prospects. You will combine deep technical expertise in data modeling and ontology design with hands‑on implementation skills to deliver rapid‑cycle pilots that demonstrate Shelf’s value and convert to closed deals.\r\nAs part of a small, fast‑moving team you’ll work with customers during 3‑5 day pilots, iterating quickly to prove measurable value. You’ll understand customer data architectures, design semantic models, and deliver technical solutions that drive sales success.\r\nWhat We’re Looking ForTechnical Depth– Strong data modeling, data platforms, and ETL/pipeline expertise; knowledge graphs and ontologies experience strongly preferred.\r\nForward‑Deployed Engineer– Comfortable operating independently with prospects and leading technical engagements with minimal supervision.\r\nTechnical Problem Solver– Writes Python scripts, automates workflows, and leverages AI coding tools to rapidly build and iterate solutions during customer engagements.\r\nCustomer‑Facing Excellence– Exceptional communication skills with technical and business stakeholders; comfortable presenting and iterating with customers.\r\nRapid Execution– Thrives in fast‑paced 3‑5 day pilot cycles; delivers value quickly and iterates based on feedback.\r\nSales‑Oriented Mindset– Understands enterprise sales cycles and is motivated by converting POVs to closed deals.\r\nContinuous Learner– Stays current with AI/GenAI trends, data technologies, and modern engineering practices.\r\nKey ResponsibilitiesLead independent POV engagements with enterprise prospects, designing custom ontologies and configuring solutions within 3‑5 day cycles.\r\nConduct technical discovery and present solutions to Data Engineers, Enterprise Architects, and AI/ML Engineers.\r\nSupport Account Executives throughout sales cycles with primary ownership during technical evaluation and POV phases.\r\nWork directly with Engineering on technical challenges and custom implementations during POVs.\r\nContinue engagement through deal closing and initial customer onboarding alongside Customer Success.\r\nSupport existing customer expansion opportunities as part of land‑and‑expand strategy.\r\nCollaborate with Field CTO to build reusable ontology templates and POV best practices.\r\nQualifications7‑10+ years in technical pre‑sales, data engineering, solutions architecture, or similar customer‑facing technical roles.\r\nStrong expertise in data modeling, data platforms, and ETL/data pipelines.\r\nExperience with knowledge graphs, ontologies, or semantic technologies strongly preferred.\r\nProficiency in scripting and automation (Python preferred).\r\nHands‑on experience with AI coding tools (Claude Code, Cursor, GitHub Copilot, etc.).\r\nDeep understanding of enterprise data platforms and cloud architectures (AWS, Azure, GCP).\r\nProven track record in customer‑facing technical roles with demonstrated sales impact.\r\nExceptional presentation and communication skills with technical and business audiences.\r\nBachelor’s degree in Computer Science, Engineering, Data Science, or related field.\r\nExperience in B2B SaaS, AI/ML, or data quality solutions preferred.\r\nSuccess MetricsPOV Conversion Rate– Achieve 70%+ conversion rate from pilot to closed deal.\r\nPOV Delivery Volume– Successfully deliver 8‑10 high‑quality POVs per quarter within 3‑5 day timeframes.\r\nARR Growth Contribution– Support overall company ARR growth through new customer acquisition and existing account expansion.\r\nTechnical Quality– Consistently deliver well‑designed ontologies and technical solutions that meet customer requirements.\r\nWhat We OfferRealistic, clearly communicated expectations.\r\nTeam‑wide aligned values and goals.\r\nComprehensive health and wellness packages.\r\nLocationRemote within the United States with flexibility for 50% travel for high‑stakes customer meetings, industry events, and internal leadership meetings.\r\nWhy ShelfGenAI will be at least a $18 Trillion market by 2032, and Shelf is a core infrastructure that enables GenAI to be deployed at scale.\r\nWe are blazing the path for the future of Artificial Intelligence globally.\r\nOur Leadership Team has deep AI domain expertise and enterprise SaaS background to execute this plan.\r\nWe love our customers…and they love us because of our innovative capabilities, rock‑solid reliability, and the improvements they see in their business KPIs.\r\nWe have raised over $60 million in funding; our investors include Insight Partners, Tiger Global, Base10, and others.\r\nWe have high‑velocity growth powered by the most innovative product in our category.\r\nWe now have over 100 employees across multiple U.S. states and European countries, and we have ambitious hiring goals over the next few quarters.#J-18808-Ljbffr","datePosted":"2026-06-02T03:13:50.711Z","dateModified":"2026-06-02T03:13:50.711Z","hiringOrganization":{"@type":"Organization","name":"Shelf","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Henrico","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"07f514b6c059fee6fd0f8886"},"url":"https://jobsearcher.com/jobs/07f514b6c059fee6fd0f8886"}}