Elastic, the Search AI company, is looking for an Enterprise Account Executive to drive net-new revenue and expansion within our developing relationship with NATO, Brussels. You'll be the owner of this unique customer where you'll build your own pipeline and close engagements - telling the Elastic Search AI story, and close complex, multi-stakeholder deals in a consumption-based model.
\nAs an Enterprise Account Executive, you will:
\nWe're looking for someone with:
\nBonus Points:
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_d8a17638-e52","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Elastic","sameAs":"https://www.elastic.co/","logo":"https://logos.yubhub.co/elastic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/elastic/jobs/7668021","x-work-arrangement":"remote","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["MEDDPICC","Search AI","Observability","Security","Cloud economics","Usage-based pricing","Modern data architectures","Cloud cost optimization"],"x-skills-preferred":["Geospatial content","Observability (logs, metrics, traces)","Security analytics (SIEM/XDR)"],"datePosted":"2026-04-18T15:56:07.441Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Belgium"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"MEDDPICC, Search AI, Observability, Security, Cloud economics, Usage-based pricing, Modern data architectures, Cloud cost optimization, Geospatial content, Observability (logs, metrics, traces), Security analytics (SIEM/XDR)"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3dac7f19-1df"},"title":"Enterprise Account Executive - Bay Area","description":"We're looking for a high-energy Enterprise Account Executive to drive net-new revenue and expansion within strategic Enterprise accounts. You'll be the owner of a defined territory where you'll build your own pipeline, tell the Elastic Search AI story, and close complex, multi-stakeholder deals in a consumption-based model.
\nThis role sits at the intersection of sales execution, technical fluency, and cross-functional collaboration,and is critical to our growth in the Enterprise segment.
\nKey Responsibilities:
\nOwn your territory & build pipeline: Develop and execute a proactive outbound cadence (email, call, social) that generates ≥50 % of your booked opportunities.
\nDeep discovery & qualification: Uncover pain, business impact, budget, and decision criteria using frameworks like MEDDPICC so you chase only the highest-confidence deals.
\nValue storytelling & demos: Craft and deliver tailored narratives and live demos that map Elastic’s Search, Observability, and Security capabilities to measurable business outcomes.
\nMutual deal strategy & forecast accuracy: Collaborate with customers to build formal close plans and keep your CRM up-to-date, maintaining ≥90 % forecast accuracy within ±10 %.
\nExecutive negotiation & closing: Lead high-stakes contract and pricing discussions,defend your value, structure give/get trades, and land multi-year consumption commitments.
\nDomain & cloud acumen: Position Elastic as the Search AI platform of choice by speaking fluently about cloud economics, usage-based pricing, and modern data architectures.
\nCross-functional partnership: Work hand-in-glove with Solutions Architects, Customer Success, Marketing, and RevOps to accelerate deals and drive exceptional customer outcomes.
\nRequirements:
\nProven SaaS quota-carrying success: 5+ years closing complex Enterprise deals, consistently overachieving targets in a consumption-based or usage-model environment.
\nExpert discovery & qualification skills: Demonstrated ability to apply MEDDPICC or equivalent frameworks to drive disciplined pipeline and eliminate low-probability deals.
\nCompelling value storytellers: Track record of delivering executive-level presentations and demos that tie product capabilities to real dollars saved, revenue gained, or risk mitigated.
\nStrong negotiation chops: History of landing multi-year, high-ACV contracts while protecting margin and securing executive stakeholder buy-in.
\nTechnical & cloud fluency: Comfortable discussing a broad range of technical topics including observability, security, vector/traditional search, and cloud cost optimization.
\nCollaborative mindset & coachability: A learner who partners effectively with internal teams, incorporates feedback, and embodies Elastic’s values of community and openness.
\nOpen Source enthusiasm: Genuine appreciation for open-source communities and the Elastic model,bonus if you’ve sold or advocated in an OSS context.
\nBonus Points:
\nPrior experience at an open-source or developer-centric infrastructure company.
\nFamiliarity with observability (logs, metrics, traces) or security analytics (SIEM/XDR) use cases.
\nIf you’re driven to build your own pipeline, master complex deal cycles, and help customers unlock the power of Search AI, we’d love to talk. Apply today!
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_3dac7f19-1df","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Elastic","sameAs":"https://www.elastic.co/","logo":"https://logos.yubhub.co/elastic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/elastic/jobs/7554566","x-work-arrangement":"remote","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$113,300-$179,200 USD","x-skills-required":["SaaS","Enterprise sales","Cloud economics","Usage-based pricing","Modern data architectures","Observability","Security","Vector/traditional search","Cloud cost optimization"],"x-skills-preferred":["Open-source communities","Elastic model","OSS context"],"datePosted":"2026-04-18T15:42:26.705Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"SaaS, Enterprise sales, Cloud economics, Usage-based pricing, Modern data architectures, Observability, Security, Vector/traditional search, Cloud cost optimization, Open-source communities, Elastic model, OSS context","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":113300,"maxValue":179200,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5c6cb22b-7f8"},"title":"Compute Cost of Revenue Accountant","description":"We are seeking a Compute Cost of Revenue Accountant to join our Accounting team at Anthropic. In this role, you will own the financial accounting, allocation, and reporting for compute-related Cost of Revenue (COR). As Anthropic scales its AI infrastructure, accurate COR accounting and cost allocation are critical to understanding the economics of our products and informing strategic investment decisions.
\nYou will develop and refine allocation methodologies, implement and maintain accounting policies for overhead and direct cost attribution, and ensure proper COR classification across our expanding product suite. Compute is the largest expense category at Anthropic and is critical to understanding the gross margin of our business. This is an opportunity to build foundational accounting processes at a company operating at the frontier of AI.
\nResponsibilities:
\nYou may be a good fit if you:
\nStrong candidates may also:
\nAnnual compensation range for this role is $190,000-$230,000 USD.
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_5c6cb22b-7f8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5128198008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,000-$230,000 USD","x-skills-required":["Cost accounting","Financial analysis","ERP allocation schedules","Accounting policies","Gross margin analysis","Unit economics"],"x-skills-preferred":["NetSuite","Workday","SQL","Compute infrastructure cost structures","Cloud economics","AI-assisted tools"],"datePosted":"2026-04-18T15:36:39.884Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"Cost accounting, Financial analysis, ERP allocation schedules, Accounting policies, Gross margin analysis, Unit economics, NetSuite, Workday, SQL, Compute infrastructure cost structures, Cloud economics, AI-assisted tools","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":230000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fdbee1f9-1bb"},"title":"Product Manager, Technical Intelligence, Google DeepMind","description":"This is a critical strategic role situated at the intersection of infrastructure, finance, and AI strategy within Google DeepMind's Technology Strategy function.
\nYou will join the Technical Intelligence (TI) team with a dual mission: to analyse the 'supply side' of the AI revolution (infrastructure and cloud economics) and to provide decisive competitive advantages by monitoring the external Large Model (LM) landscape.
\nYour insights will directly inform Google's strategic planning, investment decisions, and technical roadmaps, ensuring we anticipate market moves rather than react to them.
\nAs a vital intelligence node for the external AI ecosystem, you will act as the expert on both the AI infrastructure market and competitor activity.
\nYou will analyse how compute power is being financed, built, and priced, while simultaneously synthesising public planning records and industry reports to track the strategies of key industry players.
\nYou will partner closely with Google Cloud (IaaS and Vertex), the Gemini App team, Gemini Research, Google Infrastructure, and Corporate Finance.
\nThe role involves deeply analysing the strategies and roadmaps of key industry players, including major AI labs, Hyperscalers, and specialised NeoClouds.
\nYou will identify forthcoming technical releases, strategic partnerships, and shifts in model architecture.
\nYou will track external resource commitments, including data center footprint expansions, compute cluster acquisitions, and supply chain bottlenecks.
\nYou will estimate future training capabilities across the industry.
\nYou will build financial models for AI competitor pricing structures, burn rates, and unit economics for AI workloads.
\nYou will analyse financing strategies for GPU/TPU acquisition and assess the sustainability of competitor strategies.
\nYou will develop detailed quarterly reports and ad-hoc memos on the state of the global AI compute market and competitive landscape.
\nYou will translate complex technical, business, and supply chain signals into clear narratives for executive leadership.
\nYou will provide data-driven diligence and recommendations to support decisions regarding M&A targets, external compute partnerships, and strategic infrastructure investments.
\nTo succeed in this role, you will require a Bachelor's degree in a quantitative or technical field or equivalent practical experience.
\nYou will need 3+ years of experience in technical / go-to-market product management, equity research, strategic consulting, or competitive intelligence within the technology sector.
\nYou will need experience in financial modelling and analysis, with the ability to estimate costs and unit economics of technical projects.
\nYou will need demonstrated ability to synthesise disparate data sources into coherent strategic insights.
\nYou will need a strong understanding of the Generative AI landscape, including familiarity with Large Language Models (LLMs) and the key industry players.
\nA CFA or Master's degree in a relevant field would be an advantage.
\nSolid understanding of the AI hardware ecosystem and/or the Generative AI landscape would also be beneficial.
\nDirect experience working for a major AI Cloud provider or for an AI lab in a hardware strategy role would be advantageous.
\nExcellent written and verbal communication skills, with experience presenting high-stakes analysis to senior executives, are essential.
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_fdbee1f9-1bb","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7522587","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["financial modelling","analysis","data synthesis","Generative AI","Large Language Models","AI infrastructure market","competitor activity","cloud economics","AI strategy"],"x-skills-preferred":["CFA","Master's degree","AI hardware ecosystem","Generative AI landscape","major AI Cloud provider","AI lab","hardware strategy"],"datePosted":"2026-03-16T14:39:52.470Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"financial modelling, analysis, data synthesis, Generative AI, Large Language Models, AI infrastructure market, competitor activity, cloud economics, AI strategy, CFA, Master's degree, AI hardware ecosystem, Generative AI landscape, major AI Cloud provider, AI lab, hardware strategy"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a761387b-1f5"},"title":"Compute Cost of Revenue Accountant","description":"About the role
\nWe are seeking a Compute Cost of Revenue Accountant to join our Accounting team at Anthropic. In this role, you will own the financial accounting, allocation, and reporting for compute-related Cost of Revenue (COR). As Anthropic scales its AI infrastructure, accurate COR accounting and cost allocation are critical to understanding the economics of our products and informing strategic investment decisions.
\nResponsibilities:
\nYou may be a good fit if you:
\nStrong candidates may also:
\nDeadline to apply: None. Applications will be reviewed on a rolling basis.
\nLogistics
\nEducation requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
\nVisa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
\nWe encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.
\nYour safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_a761387b-1f5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5128198008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,000 - $230,000USD","x-skills-required":["Cost of Revenue accounting","ERP allocation schedules","SQL skills","Cloud economics","Financial analysis","Gross margin analysis","Unit economics"],"x-skills-preferred":["NetSuite or Workday ERP systems","AI-assisted tools for enhancing financial analysis","Cross-charge or intercompany allocation processes"],"datePosted":"2026-03-08T14:01:09.994Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"Cost of Revenue accounting, ERP allocation schedules, SQL skills, Cloud economics, Financial analysis, Gross margin analysis, Unit economics, NetSuite or Workday ERP systems, AI-assisted tools for enhancing financial analysis, Cross-charge or intercompany allocation processes","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190000,"maxValue":230000,"unitText":"YEAR"}}}]}