{"id":3770181,"url":"https://alion.io/job/anthropic-google-cloud-gtm-partnerships-lead-emea","title":"Google Cloud GTM Partnerships Lead, EMEA","company":{"id":5,"name":"Anthropic","domain":"anthropic.com","url":"https://alion.io/company/anthropic","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":80,"open_postings":159,"ghost_share":0,"stale_share":0.811,"repost_share":0.006,"time_to_fill_p50_days":54,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Sales","role_family":"Sales","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":215000,"max":250000,"currency":"GBP","period":"year","gross":null,"usd_annual":336570},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"GCP","optional":false},{"name":"Interpretability","optional":false},{"name":"Multimodal AI","optional":false}],"status":"live","first_seen_at":"2026-11-04T18:38:29Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-06T03:14:28Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About Anthropic\nAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.\nAbout the role\nAs a Partnership lead, you’ll help drive our strategic growth with Google Cloud. You'll play a critical role in managing the relationship, generate large-scale revenue opportunities, and work with leadership across both organizations to accelerate Anthropic's AI adoption through GCP's global ecosystem. You’ll be a part of a small team with an outsized scope - setting the strategy and rolling up your sleeves to execute it. You'll help shape how frontier AI technology is commercialized at scale and develop the blueprint for successful AI-cloud provider partnerships.\nResponsibilities:\nDevelop and execute comprehensive GTM strategies for our GCP partnership, including co-selling motions, enablement programs, and joint business plans\nDevelop forecasting models, build pipeline, and set revenue targets for the partnership\nBuild and maintain cross-functional relationships across GCP\nDrive strategic planning and execution of joint marketing and sales initiatives, including major customer engagements\nCreate and implement scalable processes for partnership operations, including escalation management and reporting\nProvide strategic market intelligence and competitive insights to inform product and business strategy\nDesign and execute sales plays and enablement programs\nParticipate in monthly business reviews with key stakeholders\nIdentify and develop strategic opportunities to expand partnership scope and impact\nYou may be a good fit if you have:\n8+ years of experience, ideally including 2-4 years in a high-intensity, analytical role (investment banking, management consulting, or similar) and 4+ years in GTM at fast-growing technology companies\nDeep understanding of enterprise cloud services and AI/ML market dynamics\nExceptional communication and relationship-building skills with both technical and business stakeholders\nProven ability to develop and execute successful co-selling strategies at scale\nExcellence in strategy, business operations, and program management\nAbility to thrive in a fast-paced environment, adapt to changing priorities, and balance strategic thinking with tactical execution\nExperience working with technical products and translating complex capabilities into business value\nStrong candidates may also have:\nDirect experience scaling GTM at a high-growth startup or leading enterprise sales or partnerships at a major technology company\nFamiliarity with large language models and their applications in generative AI\nPrevious experience working with cloud and large technology partnerships\nTechnical background in computer science, software engineering, data science, or related field\nMBA or advanced degree in relevant discipline\nThe annual compensation range for this role is listed below. \nFor sales roles, the range provided is the role’s On Target Earnings (\"OTE\") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.\nAnnual Salary:\n£215,000—£250,000 GBP\nLogistics\nMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience\nRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience\nMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the position\nLocation-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. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.\nYour safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings.\nHow we're different\nWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.\nThe easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.\nCome work with us!\nAnthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. 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