Top Tech Jobs & Startup Jobs in London

Lead the technical direction for a new Experience squad building cross-product SaaS experiences for IFS Logistics. Design backend and platform architecture, integrations, identity, SSO, tenancy, permissions, observability, and safe agentic AI capabilities. Remain hands-on across Python/Django and React, collaborate with Product and UX, engage customers, establish engineering standards, and mentor engineers while delivering reliable, observable, cost-controlled production systems.

Own the product surface of an AI-native transport execution platform, including freight booking, carrier setup, configuration, document generation, and automation workflows. Build fullstack features with React, TypeScript, Python, and Django; design APIs and data contracts; handle validation and failure states; create human-in-the-loop interfaces; and mentor less experienced engineers. Collaborate with product and design while applying AI agents, guardrails, and traceability to logistics workflows.

Own and improve the IFS Logistics SaaS platform through observability, CI/CD controls, infrastructure as code, cloud cost management, and reliable data pipelines. Operate GCP, Kubernetes, Terraform, and GitLab workflows; strengthen deployment safety, monitoring, incident response, and on-call practices. Partner with application and data engineers to improve production reliability, recovery, and release cadence.

Manage B2B SaaS customer adoption by coordinating onboarding and implementation activities, facilitating customer working sessions, tracking actions and deadlines, monitoring progress through data and customer evidence, resolving routine issues, escalating risks, and preparing updates. Collaborate across teams, support software training and change communications, maintain documentation, and help customers adopt AI-enabled software and analytical outputs.

Coordinates B2B SaaS customer onboarding, training, adoption tracking, health monitoring, and value realization for assigned accounts. Maintains project plans, action trackers, documentation, metrics, and risk logs; facilitates customer meetings; analyzes usage and feedback; supports retention, expansion, feature validation, and product feedback. Collaborates with product, engineering, and operations teams while escalating complex risks and improving adoption processes.

Build production AI infrastructure for enterprise software, including MCP servers, agent write paths, ontologies, knowledge graphs, retrieval and grounding systems, control planes, evaluation harnesses, and semantic skills layers. Design secure, observable, versioned, cloud-native systems integrating LLMs, RAG, agentic workflows, enterprise applications, and business data. Collaborate with domain experts, prototype emerging technologies, review designs, establish engineering practices, and represent solutions with customers and partners.

Leads a multi-layered engineering organization supporting Manufacturing, Sustainability, and Supply Chain products. Defines engineering strategy, oversees delivery and architecture, develops engineering leaders, and drives cloud-native, DevOps, quality, security, and operational excellence. Leads adoption of AI-assisted engineering and AI-enabled manufacturing capabilities while aligning product execution with customer and business outcomes. Requires strong software engineering expertise, enterprise application experience, manufacturing domain knowledge, and executive-level stakeholder leadership.

Build and ship customer-facing scheduling and optimization solutions using C#/.NET and Angular. Translate real-world planning challenges into optimization models, configure and debug scheduling engines, analyze customer data, and deliver solutions under tight deadlines. Collaborate directly with customers, explain technical trade-offs, diagnose performance issues, and feed field insights into core product improvements. The role combines full-stack software engineering, applied optimization, customer engagement, and AI-assisted development.

Supports regional sales operations through CRM data management, forecasting, pipeline analysis, sales process compliance, reporting, deal follow-up, contract and order coordination, and process improvement. Provides system, reporting, pricing, and contract guidance to sales representatives, coordinates with internal teams, and helps implement global sales tools and processes across the European region.

Own net-new enterprise customer acquisition for Ultimo’s EAM SaaS platform across the UK. Responsibilities include territory planning, outbound prospecting, pipeline creation, opportunity qualification, consultative discovery, value-based selling, stakeholder engagement, full-cycle enterprise deal management, forecasting, and closing. The role collaborates with BDRs, pre-sales, customer teams, and leadership while maintaining CRM accuracy and consistently meeting or exceeding quota.