Top Tech Jobs & Startup Jobs in London

Own strategic reseller relationships with global systems integrators, including agreements, joint business plans, deal registration, pipeline forecasting, enablement, marketplace transactions, and executive engagement. Coordinate partners across regions, practices, hyperscaler alliances, and internal account teams while resolving direct-versus-partner conflicts. Build global reseller processes, governance, margin mechanics, escalation paths, and operating rhythms from the ground up.

Serve as the primary technical advisor for life sciences institutions adopting Claude. Translate scientific workflows into AI solutions, lead deployments and cohort accelerators, develop demos and scalable documentation, identify ecosystem-level product opportunities, and inform benchmarks, evaluations, MCP servers, and reusable agent skills. Build trusted relationships with academic, biotech, pharma, and mission-driven organizations while helping shape the growing Applied AI team.

Lead International Partnership Strategy and Operations across UKI, EMEA, India, Japan, and APAC. Own regional GTM strategy, partner coverage, quota design, capacity modeling, targets, forecasting, operating rhythms, and executive reporting. Develop operating handbooks and lead cross-regional initiatives involving OKRs, investment cases, long-range planning, and global partnership operations. Serve as a strategic partner to international partnerships leadership while improving accountability and execution across the organization.

Lead the sales team for EMEA at Anthropic, focusing on partnerships with nonprofits and educational institutions. Drive revenue while building and managing a high-performing team. Navigate complex sales cycles and stakeholder ecosystems to achieve strategic goals.

Lead EMEA sales efforts for Anthropic's AI solutions, building a sales team, winning new business, and navigating complex nonprofit structures. Drive revenue while fostering partnerships across various sectors.

Leads the Review Tooling engineering team building investigation, enforcement, analytics, privacy-preserving, and sandbox platforms. Defines the product vision and roadmap, scales human review through Claude-assisted automation, partners with policy, operations, legal, privacy, and data science teams, and ensures reliable systems align with data retention commitments. Responsible for hiring, coaching, technical strategy, stakeholder communication, and engineering-wide initiatives.

Build and operate large-scale observability infrastructure, including telemetry pipelines, instrumentation libraries, eBPF tracing, continuous profiling, cross-signal correlation, unified query tools, and AI-assisted diagnostics. Improve reliability, efficiency, detection, and incident resolution across massive GPU, TPU, and Trainium infrastructure while partnering with research, inference, product, and infrastructure teams.

Own Anthropic’s global reseller enablement motion, including strategy, certification, training, onboarding, localization, and product-readiness programs. Build the curriculum and delivery network from scratch, train reseller and internal sellers, establish governance and feedback loops, and measure certification, activation, pipeline, and consumption outcomes. Partner cross-functionally with Partnerships, Sales, Applied AI, Partner Operations, Marketing, and Certification while scaling programs across regions and languages.

Lead executive AI strategy engagements with major EMEA enterprises. Responsibilities include conducting executive briefings, shaping AI adoption visions, developing strategic positioning, value cases, proposals, success plans, and reusable industry content. Advise leaders on regulatory considerations including the EU AI Act, GDPR, DORA, and data sovereignty, while partnering with Sales and Applied AI to maintain deal momentum and support execution. The role requires frequent travel across EMEA and engagement with C-suite stakeholders in regulated industries.

Serve as a pre-sales technical advisor for enterprise customers, translating business needs into scalable LLM architectures using Claude. Lead technical discovery, develop evaluations, design integrations with enterprise systems, create tailored technical content, and coordinate across Sales, Product, and Engineering to drive deployments and adoption. Provide occasional on-site workshops and maintain expertise in LLM capabilities and implementation patterns.