{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/enterprise-analytics"},"x-facet":{"type":"skill","slug":"enterprise-analytics","display":"Enterprise Analytics","count":4},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. 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Databricks AI/BI and Genie empower business users to securely interact with governed data using natural language, transforming the data platform into a true decision platform.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Partner with Enterprise AEs to identify, qualify, and close AI/BI opportunities</li>\n<li>Engage C-level, analytics, and line-of-business leaders to modernise analytics strategies</li>\n<li>Displace or expand legacy BI platforms with AI-powered, governed analytics solutions</li>\n<li>Lead conversations around semantic governance, self-service analytics, and natural language data access</li>\n<li>Drive proof-of-value engagements and scale enterprise-wide adoption</li>\n<li>Align AI/BI initiatives to measurable business outcomes (productivity, speed to insight, revenue impact)</li>\n<li>Enable field teams and serve as a subject matter expert on modern analytics architectures</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>Enterprise sales experience in BI, analytics, data platforms, or AI/ML</li>\n<li>Strong understanding of modern analytics architectures and data governance</li>\n<li>Ability to sell to both technical and business stakeholders</li>\n<li>Executive presence and experience navigating complex buying cycles</li>\n<li>Passion for AI and the impact of GenAI on enterprise analytics</li>\n<li>Experience operating in a specialist or overlay sales model</li>\n<li>Ability to translate technical capabilities into clear business value</li>\n<li>7+ years of Enterprise Sales experience, exceeding quotas in larger accounts</li>\n</ul>\n<p>Preferred qualifications include:</p>\n<ul>\n<li>Experience with modern BI platforms such as Tableau, Power BI, Looker, or ThoughtSpot</li>\n<li>Familiarity with semantic layers, metrics stores, or governed data models</li>\n<li>Understanding of lakehouse architectures and cloud data platforms</li>\n<li>Exposure to GenAI, natural language interfaces, or conversational applications</li>\n<li>Consulting or solution design experience in customer-facing roles</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_47807ca3-e36","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8441884002","x-work-arrangement":"onsite","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Enterprise sales experience in BI, analytics, data platforms, or AI/ML","Strong understanding of modern analytics architectures and data governance","Ability to sell to both technical and business stakeholders","Executive presence and experience navigating complex buying cycles","Passion for AI and the impact of GenAI on enterprise analytics"],"x-skills-preferred":["Experience with modern BI platforms such as Tableau, Power BI, Looker, or ThoughtSpot","Familiarity with semantic layers, metrics stores, or governed data models","Understanding of lakehouse architectures and cloud data platforms","Exposure to GenAI, natural language interfaces, or conversational applications","Consulting or solution design experience in customer-facing roles"],"datePosted":"2026-04-18T15:52:23.856Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"Enterprise sales experience in BI, analytics, data platforms, or AI/ML, Strong understanding of modern analytics architectures and data governance, Ability to sell to both technical and business stakeholders, Executive presence and experience navigating complex buying cycles, Passion for AI and the impact of GenAI on enterprise analytics, Experience with modern BI platforms such as Tableau, Power BI, Looker, or ThoughtSpot, Familiarity with semantic layers, metrics stores, or governed data models, Understanding of lakehouse architectures and cloud data platforms, Exposure to GenAI, natural language interfaces, or conversational applications, Consulting or solution design experience in customer-facing roles"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8aca0e87-abb"},"title":"Strategic AI/BI Account Executive","description":"<p>We are seeking a Strategic AI/BI Account Executive to help enterprise customers transform how business users interact with data. 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We provide APIs and agentic solutions used by global startups and fortune 500s. We work closely with product, engineering, design, and go-to-market to build a world-class platform that pushes the frontier of AI capabilities.</p>\n<p><strong><strong>About the Role</strong></strong></p>\n<p>As a Data Scientist on the Platform team, you will drive a data-driven culture for OpenAI’s API and B2B solutions. You’ll define the metrics that matter for developer success and enterprise value, measure the impact of new models and features, and partner with PMs and engineers to improve model quality, reliability, latency, and cost. Your work will shape how thousands of products adopt agentic AI.</p>\n<p>This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong><strong>In this role, you will</strong></strong></p>\n<ul>\n<li>Embed with the Platform product team as a trusted partner, uncovering ways to improve developer experience, reliability, and usage growth</li>\n</ul>\n<ul>\n<li>Define north-star metrics across the developer funnel (activation, retention, growth), as well as latency/cost guardrails for new features and models</li>\n</ul>\n<ul>\n<li>Design and interpret A/B tests and controlled rollouts (e.g., new model versions, pricing/limits, new API features, new B2B products)</li>\n</ul>\n<ul>\n<li>Build source-of-truth dashboards and self-serve data tools for product, engineering, and go-to-market teams</li>\n</ul>\n<ul>\n<li>Translate product learnings into actionable feedback for Research (e.g., failure modes, eval gaps, model response quality)</li>\n</ul>\n<p><strong><strong>You might thrive in this role if you have</strong></strong></p>\n<ul>\n<li>5+ years in a quantitative role in ambiguous, high-growth environments (platforms, APIs, or B2B products a plus)</li>\n</ul>\n<ul>\n<li>Depth in SQL and Python, with a track record proposing, designing, and running rigorous experiments</li>\n</ul>\n<ul>\n<li>Experience defining and operationalizing metrics from scratch (including reliability/latency/cost and safety)</li>\n</ul>\n<ul>\n<li>Strong cross-functional communication with PMs, engineers, and executives</li>\n</ul>\n<ul>\n<li>Strategic instincts beyond p-values—clear thinking about tradeoffs and business impact</li>\n</ul>\n<p><strong><strong>You could be an especially great fit if you have</strong></strong></p>\n<ul>\n<li>Background in developer platforms, observability, or usage-based pricing/quotas</li>\n</ul>\n<ul>\n<li>Experience connecting offline evals to online product impact</li>\n</ul>\n<ul>\n<li>Prior work in NLP/LLMs or agentic systems, or in enterprise analytics for B2B products</li>\n</ul>\n<p><strong>About OpenAI</strong> OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. 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Our vision is to enable companies to scale to $1B+ with teams of fewer than five people by leveraging AI agents and automation. We are building the infrastructure, products, and analytics that allow organisations to deploy fleets of AI agents, automate workflows, and dramatically increase employee productivity. This team sits at the centre of the future of work: defining how humans collaborate with AI systems across companies, workflows, and knowledge.</p>\n<p><strong>About the Role</strong></p>\n<p>We are looking for a product-focused Data Scientist to help shape the next generation of AI-powered enterprise products, including ChatGPT Enterprise and agentic automation systems.</p>\n<p>This is not a traditional analytics role. You will work directly with product managers, engineers, and researchers to define how AI agents behave, how organisations adopt them, and how we measure their impact on work.</p>\n<p>You’ll analyse how users interact with AI systems, inform product strategy, and help build the measurement frameworks that guide the future of enterprise AI.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Partner closely with product, engineering, and research teams to shape AI-powered enterprise products</li>\n</ul>\n<ul>\n<li>Define metrics and measurement frameworks for AI agents, automation workflows, and enterprise adoption</li>\n</ul>\n<ul>\n<li>Analyse how organisations use AI tools and identify opportunities to improve product experience and business impact</li>\n</ul>\n<ul>\n<li>Drive insights around enterprise adoption, retention, and value realisation</li>\n</ul>\n<ul>\n<li>Inform product decisions around agent orchestration, enterprise workflows, and AI productivity tools</li>\n</ul>\n<ul>\n<li>Design experiments and evaluations that improve AI system performance and user outcomes</li>\n</ul>\n<ul>\n<li>Help define how companies operate with AI coworkers and automated workflows</li>\n</ul>\n<p><strong>What We’re Looking For</strong></p>\n<p><strong>Must Have:</strong></p>\n<ul>\n<li>Strong product analytics or data science experience</li>\n</ul>\n<ul>\n<li>Deep curiosity about AI systems and how they change how work gets done</li>\n</ul>\n<ul>\n<li>Ability to work closely with product and engineering teams in 0→1 product environments</li>\n</ul>\n<ul>\n<li>Strong analytical skills (experimentation, behavioural analysis, product metrics)</li>\n</ul>\n<ul>\n<li>Builder mindset — someone who wants to shape products, not just analyse them</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>Experience with B2B SaaS or enterprise analytics</li>\n</ul>\n<ul>\n<li>Experience with developer platforms, APIs, or technical products</li>\n</ul>\n<ul>\n<li>Background in AI/ML systems, agent frameworks, or LLM-based products</li>\n</ul>\n<ul>\n<li>Systems thinking around how complex tools and workflows operate at scale</li>\n</ul>\n<p><strong>Who Thrives Here:</strong></p>\n<ul>\n<li>AI-native — actively experimenting with and building with AI tools</li>\n</ul>\n<ul>\n<li>Product thinkers who want to shape the future of work</li>\n</ul>\n<ul>\n<li>Builders who enjoy early-stage ambiguity and 0→1 problems</li>\n</ul>\n<ul>\n<li>Operators who can work independently and drive large parts of a product area</li>\n</ul>\n<p><strong>Impact</strong></p>\n<p><strong>You will help define:</strong></p>\n<ul>\n<li>How organisations deploy and manage AI agents</li>\n</ul>\n<ul>\n<li>How AI transforms enterprise productivity</li>\n</ul>\n<ul>\n<li>The measurement systems behind AI-native companies</li>\n</ul>\n<ul>\n<li>This is an opportunity to help create the “Codex moment” for non-coding work — defining how businesses operate in an AI-first world.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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