Top Tech Jobs & Startup Jobs in London

Lead and grow Elastic's UKI Mid‑Market sales organization: set strategy, coach AEs, drive quota attainment, design scalable sales processes, collaborate cross‑functionally, and travel regularly to support deal creation and team needs.

Own full sales cycle for Elastic in the education public sector: drive new logo acquisition and expansion, demonstrate value of Elastic search/observability/security, qualify with MEDDPICC, build strategic territory plans, and partner cross-functionally to close complex deals.

Develop core infrastructure and horizontally scalable APIs for Elasticsearch. Resolve complex performance and concurrency issues, improve cloud operations and observability, automate developer workflows, and support operational investigations. Lead cross-team projects, collaborate with open-source communities, and own technical designs and implementations from inception through delivery. Apply strong Java expertise, CI/CD practices, AI-assisted development, and distributed-team communication.

Design, build, scale, and maintain Elastic’s multi-cloud platform infrastructure. Develop software, tooling, and automation to improve reliability, scalability, and operational excellence. Participate in follow-the-sun incident response, prevent recurring customer impact, and improve alerting and problem-management processes. Collaborate across globally distributed teams while mentoring others. Work may include Kubernetes-at-scale, Infrastructure as Code, containerized services, Linux administration, observability, and Elastic Stack implementations.

Own the production improvement loop for an AI Context Engine, improving agent behavior, retrieval, memory, telemetry, evaluation, and safe rollout. Build production services in TypeScript or Python, design observability and evaluation systems, analyze agent traces and customer feedback, and partner with data scientists, backend engineers, product, and UX. Mentor engineers, review designs, and shape the technical roadmap for agentic products with public APIs and evolving data models.

Lead the technical vision and development of Elasticsearch’s core search infrastructure, including indexing, retrieval, query execution, and relevance. Research search algorithms and data structures, contribute to Lucene, guide technical roadmaps, collaborate across teams, mentor senior engineers, and build high-performance distributed search systems. Serve as a subject-matter expert while driving projects from concept through completion.

Design and deploy enterprise search solutions using generative AI, RAG, ELSER, semantic search, vector search, and vector databases. Lead proof-of-concept projects, demonstrate search and retrieval capabilities, evangelize Elastic’s AI-powered search vision through presentations and content, and collaborate with engineers, data scientists, and industry experts. Continuously evaluate emerging AI and search technologies while sharing knowledge across the Solutions Architecture organization.

Build and evolve Elastic’s MCP server, agent skills platform, developer tooling, CLI enhancements, and third-party AI ecosystem integrations. Develop and support libraries and integrations primarily in Go, with Rust and other languages. Establish evaluation-based correctness standards, collaborate with product teams and external partners, contribute product thinking, and improve developer experience across a globally distributed team.

Serves as a technical authority and trusted advisor during sales cycles, translating customer goals into Elastic-based architectures and value propositions. Responsibilities include technical discovery, demonstrations, solution positioning, partner enablement, customer relationship development, event participation, sales collateral creation, and communicating customer needs to engineering and leadership. The role requires technical presales expertise, knowledge of AI enterprise search, observability, or cybersecurity, strong communication and influencing skills, and 30% regional travel.

Own the full sales cycle for mid-market accounts, driving adoption and expansion of Elastic’s search, AI, observability, and security solutions. Build territory plans, identify use cases, conduct discovery, manage complex sales cycles, negotiate contracts, and close deals. Partner with Solutions Architects, Customer Success, Marketing, and RevOps while forecasting accurately and positioning technical capabilities against measurable business outcomes.