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You&#39;ll operate with significant autonomy across time zones while maintaining tight alignment with global strategy.</p>\n<p>The ideal candidate brings deep experience in the EMEA nonprofit or social impact technology landscape, established relationships with mission-driven institutions, and a proven track record of building teams that drive revenue and mission impact simultaneously.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Win new business and drive revenue for Anthropic within EMEA mission-driven organisations.</li>\n<li>Build and lead a regional team supporting EMEA customers, both inbound and outbound.</li>\n<li>Design and execute innovative sales strategies tailored to diverse EMEA contexts.</li>\n<li>Navigate complex stakeholder ecosystems including INGO executive teams, foundation programme officers, university leadership, trustees, executive directors, and IT departments.</li>\n<li>Develop and maintain relationships with key EMEA ecosystem players.</li>\n<li>Inform product roadmaps by gathering feedback from EMEA nonprofit and education users.</li>\n<li>Continuously refine the EMEA sales methodology by incorporating learnings into playbooks, templates, and best practices.</li>\n</ul>\n<p>You May Be a Good Fit If You Have:</p>\n<ul>\n<li>8+ years of B2B sales experience in nonprofit technology, EdTech, or social impact sectors, preferably in EMEA SaaS or emerging technologies.</li>\n<li>Track record of managing complex sales cycles within nonprofits, INGOs, foundations, or educational institutions.</li>\n<li>Experience building and scaling sales teams.</li>\n<li>Deep understanding of nonprofit or education sector operations.</li>\n<li>Demonstrated ability to navigate diverse stakeholder ecosystems.</li>\n<li>Scrappy mentality.</li>\n<li>Proven experience exceeding revenue targets.</li>\n<li>Excellent communication skills.</li>\n<li>Fluency in English required; proficiency in French valued given Francophone Africa coverage; additional European languages a plus.</li>\n</ul>\n<p>Strong Candidates May Also Have:</p>\n<ul>\n<li>Active involvement in the EMEA nonprofit or education community.</li>\n<li>Existing relationships with major INGOs, foundations, or educational institutions.</li>\n<li>Familiarity with nonprofit data privacy requirements, AI ethics frameworks, and responsible technology deployment.</li>\n<li>Track record of building strategic partnerships with foundations or philanthropic advisors.</li>\n<li>Experience presenting at nonprofit conferences or education forums.</li>\n<li>Understanding of specific verticals: education technology, digital health, financial inclusion/economic mobility programmes.</li>\n</ul>\n<p>Logistics:</p>\n<ul>\n<li>Location: London.</li>\n<li>Must be able to travel within EMEA (up to 30%) and to SF headquarters quarterly.</li>\n<li>Time Zone Coverage: Must maintain regular overlap with SF-based teams (typically 4-5 hours daily) while covering EMEA business hours.</li>\n<li>Travel: Regular travel within EMEA for customer meetings, conferences, and team gatherings; 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Must be able to travel within EMEA (up to 30%) and to SF headquarters quarterly. Time Zone Coverage: Must maintain regular overlap with SF-based teams (typically 4-5 hours daily) while covering EMEA business hours. Travel: Regular travel within EMEA for customer meetings, conferences, and team gatherings; quarterly travel to SF for alignment and planning.</p>\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_65332d06-ab9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.co/","logo":"https://logos.yubhub.co/anthropic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5165673008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"€1-€1 EUR","x-skills-required":["B2B sales experience","Nonprofit technology","EdTech","Social impact sectors","EMEA SaaS","Emerging technologies","Complex sales cycles","Nonprofits","INGOs","Foundations","Educational institutions","Sales team management","Sales team scaling","Nonprofit sector operations","Stakeholder ecosystems","Revenue targets","Communication skills","English fluency","French proficiency","Additional European languages"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:42:15.183Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin, IE"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"B2B sales experience, Nonprofit technology, EdTech, Social impact sectors, EMEA SaaS, Emerging technologies, Complex sales cycles, Nonprofits, INGOs, Foundations, Educational institutions, Sales team management, Sales team scaling, Nonprofit sector operations, Stakeholder ecosystems, Revenue targets, Communication skills, English fluency, French proficiency, Additional European languages"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_db67438e-963"},"title":"Director, System Software Engineering - Metropolis Accelerated and Inferencing Software","description":"<p><strong>Director, System Software Engineering - Metropolis Accelerated and Inferencing Software</strong></p>\n<p>We are looking for an engineering leader who is hands-on with deep learning—comfortable reading/modeling code, not just running it. You will lead, encourage, and develop world-class engineering and data teams distributed across Europe, Asia and the United States.</p>\n<p><strong>Key Responsibilities:</strong></p>\n<ul>\n<li>Architect and operationalize NVIDIA’s end-to-end data Inference Acceleration strategy, powering Inferencing and continuous performance improvements.</li>\n<li>Drive Strategic Implementations of TensorRT, VLLM and other accelerated frameworks for inference solutions for Edge and Enterprise devices: Lead Accelerated Computing efforts and solutions for key Metropolis verticals. Set up Proofs of Readiness (PORs) and guide their implementations.</li>\n<li>Leading customer solutions: Collaborate with major Metropolis OEMs and Partners to architect highly accelerated and optimized custom deep learning models and inference pipelines for their specific requirements. Offer direct customer support, including debugging, technical education, and handling customer inquiries for our Metropolis partner and customers. Responsible for drafting and finalizing SOWs with internal customers and partners.</li>\n<li>Performance Benchmarking: Orchestrate efforts to achieve leading performance results on industry benchmarks like MLPerf on various edge and Enterprise devices.</li>\n<li>Technical Leadership &amp; Influence: Function as a technical leader for deep learning across multiple teams, giving oversight and build support. Apply customer insights to influence the composition and structure of upcoming SOC / GPU deep learning hardware.</li>\n<li>Scaling the team: Strategically hiring to meet new demands while also mentoring and adjusting existing teams to new deep learning challenges.</li>\n<li>Representing Nvidia Deep learning solutions in webinars, conferences and partner events</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Masters in Computer Science/Electrical Engineering or equivalent experience.</li>\n<li>A minimum of 8 years of meaningful involvement in machine learning/deep learning research or practical experience, coupled with 7+ years of leadership background and overall 15+ years of industry experience.</li>\n<li>Over 10 years of validated expertise in the embedded software sector, holding technical leadership positions accountable for delivering outstanding production software within a multifaceted setting.</li>\n<li>Deep Knowledge of GPU, CPU and dedicated deep learning architecture fundamentals and low-level performance optimizations using heterogeneous computing.</li>\n<li>Hands-on experience with VLMs, LLMs, or multimodal AI systems applied to perception, data triage, or automated labeling.</li>\n<li>Strong expertise in large-scale data processing, systems build, or machine learning pipelines.</li>\n<li>Strong communication, careful planning, and technical leadership capabilities.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Competitive salary package and benefits</li>\n<li>Eligible for equity</li>\n</ul>\n<p><strong>How to Apply:</strong></p>\n<p>Applications for this job will be accepted at least until March 13, 2026.</p>\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_db67438e-963","directApply":true,"hiringOrganization":{"@type":"Organization","name":"NVIDIA","sameAs":"https://nvidia.wd5.myworkdayjobs.com","logo":"https://logos.yubhub.co/nvidia.com.png"},"x-apply-url":"https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Director--Metropolis-Accelerated-and-Inferencing-Software_JR2011299","x-work-arrangement":"onsite","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Machine Learning","Deep Learning","GPU","CPU","Heterogeneous Computing","TensorRT","VLLM","Proof of Readiness","Customer Support","Technical Education","Performance Benchmarking","Technical Leadership","Team Scaling","Webinars","Conferences","Partner Events"],"x-skills-preferred":["VLMs","LLMs","Multimodal AI Systems","Perception","Data Triage","Automated Labeling","Large-Scale Data Processing","Systems Build","Machine Learning Pipelines"],"datePosted":"2026-03-09T20:43:31.482Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Deep Learning, GPU, CPU, Heterogeneous Computing, TensorRT, VLLM, Proof of Readiness, Customer Support, Technical Education, Performance Benchmarking, Technical Leadership, Team Scaling, Webinars, Conferences, Partner Events, VLMs, LLMs, Multimodal AI Systems, Perception, Data Triage, Automated Labeling, Large-Scale Data Processing, Systems Build, Machine Learning Pipelines"}]}