Top Tech Jobs & Startup Jobs in London

Own and develop Anaplan’s Threat Intelligence function, including strategy, lifecycle, tooling, integrations, threat hunting, incident response support, intelligence research, detection content, and executive briefings. Build automated workflows across SIEM, SOAR, and EDR/XDR platforms; develop hunt methodologies and detections aligned with MITRE ATT&CK; and communicate actionable findings to technical and CISO-level stakeholders.

Design and lead enterprise GenAI, conversational AI, and agentic AI architectures for Anaplan’s planning platform. Define architecture patterns, APIs, data models, prompt engineering frameworks, observability, evaluation, guardrails, and scalable production systems. Collaborate with product, engineering, and data science teams; evaluate AI technologies; lead architecture reviews; and mentor engineers delivering secure, reliable AI solutions for forecasting, scenario planning, and financial modeling.

Generate inbound and outbound sales opportunities across key markets through calls, email, and social prospecting. Partner with enterprise sales representatives on account-based strategies, build relationships with target accounts, communicate the value of Anaplan’s planning platform, and consistently achieve activity and sales performance targets. The role requires native or bilingual German fluency and fluent English, with opportunities for training in value-based selling.

Sell Anaplan's connected planning platform to enterprise prospects in London. Hunt new logos, manage opportunities end-to-end, present to C-suite, apply value-based selling, forecast pipeline, and coordinate with Sales Development, Solutions Consultants, Marketing, and Customer Success to close and expand accounts.

Design, scale, and maintain cloud-native MLOps and LLMOps infrastructure. Provision GPU orchestration, optimise compute/network/storage, build CI/CD and MLOps pipelines, deploy LLMs with inference engines, automate with IaC, monitor model/data drift and latency, and manage cloud GPU cost and observability.

Lead a DevOps team to design, build, and operate scalable, secure MLOps/LLMOps infrastructure and CI/CD for GenAI. Manage cloud FinOps, optimize GPU/CPU spend, implement auto-scaling and observability, enforce data governance, and run 24/7 incident response for production LLM deployments.

The Principal Data Engineer will design and build AI features, manage data pipelines, and collaborate with data scientists to enhance machine learning models and their implementations.

Design, develop, and deploy scalable ML and time-series forecasting engines integrated into Anaplan applications. Lead customer onboarding and customize models to client data, build feature pipelines (SQL/Python/dbt), and operationalize models via MLOps tools (MLflow, Optuna). Collaborate with Product, Engineering, and Customer Success to deliver production-grade, monitored solutions.

Lead the development and integration of AI solutions, focusing on advanced modeling, generative AI architecture, and building user interfaces for decision-making tools.