Top Tech Jobs & Startup Jobs

Own marketing operations, data stack, attribution, and performance reporting. Build systems, governance, and scalable processes with marketing and RevOps to standardise execution, drive attribution, and deliver trusted insights for CMOs and stakeholders.

Own post-onboarding lifecycle for enterprise customers, driving deep adoption, strategic success roadmaps, QBRs/executive briefings, outcome analytics, expansion opportunities, champion development, and cross-functional advocacy to embed the platform into customers' SOPs and reduce retail crime.

Lead end-to-end marketing operations and data stack for a growing B2B SaaS business. Build marketing systems architecture, attribution frameworks, campaign operations, and scalable reporting. Drive governance, standardisation, and cross-functional alignment to improve measurement, performance, and execution across regional and global marketing teams.

Lead enterprise customer engagements to drive adoption, measurable crime-reduction outcomes, and ROI from the Auror platform. Design and execute engagement and change-management strategies, own implementations end-to-end, translate customer data into impact narratives, and mentor teammates while improving scalable CS frameworks and operations.

Design, build, and productionise ML systems on large multi-modal retail crime data (text, images, video, graphs). Work across model development, deployment, monitoring, anomaly detection, computer vision/LLM tasks, graph analytics, and responsible AI practices to deliver scalable, multi-tenant inference capabilities and product-integrated intelligence.

Lead UK & EU marketing strategy and execution for a B2B SaaS company focused on retail crime intelligence. Drive pipeline with Sales through regional campaigns, own events end-to-end, localise global demand programs, protect brand standards, and partner with Sales, CS and Comms to grow market presence and revenue.

Lead technical onboarding and integrations for retail and law enforcement customers: scope requirements, implement SSO/MFA and API connections, manage projects end-to-end, troubleshoot integrations using telemetry, onboard third-party partners to the OpenAPI, and produce documentation to ensure seamless, timely implementations and customer success.

Join the Investigate product team to build full-stack features (React/TypeScript front-end, C#/.NET back-end) for complex retail-crime investigations. Deliver end-to-end from design through production, collaborate with product, design and data teams, work in cloud-native environments (Azure/GCP), debug across the stack, and mentor peers while driving scalable, well-tested systems.

Design, deploy, and maintain production ML systems across CV, NLP, graph analytics, and anomaly detection. Build scalable inference platforms, monitor models for drift and fairness, partner with engineering and product, and apply responsible AI practices to sensitive, multi-jurisdictional retail crime data.