Jobs at Keyloop

Implement and optimise SEO and AI search initiatives across a multi-franchise automotive account: keyword research, technical audits, on-page improvements, AI search optimisation, performance reporting, and client-facing updates to improve organic visibility and drive results.

Own and execute SEO and AI search strategy for a major multi-franchise automotive account. Lead client communications and QBRs, prioritize initiatives, mentor an SEO/AI Search Executive, and ensure technical, on-page, local, and off-site SEO excellence. Monitor algorithm and generative AI developments and apply insights to improve organic and AI-driven search performance across group and franchise sites.

Investigate and respond to escalated security incidents in a 24/7 SOC. Analyze alerts across SIEM, SOAR, EDR, email, network, cloud, MDR, and XDR technologies; perform root-cause analysis; lead containment and remediation; improve detections and automation; conduct threat intelligence and hunting; support compliance audits; document incidents; and mentor L1 analysts.

Build and scale customer-facing AI agents and omnichannel conversational experiences. Develop agent orchestration, tool use, memory, and conversation logic using Python and Node.js. Contribute to NestJS backend services, PostgreSQL and vector database integrations, and full-stack React experiences. Collaborate with product, design, and data teams while establishing engineering patterns for reliable, globally scalable agentic systems.

Own the quality strategy for an AI agent platform and omnichannel communications product. Build automated unit, integration, API, and end-to-end test suites across TypeScript, Node.js, React, and Python systems. Develop evaluation frameworks for probabilistic agent behavior, reasoning, tool use, memory, and multi-step interactions. Test APIs, backend services, databases, and communication channels while partnering with engineering and product to define acceptance criteria and promote quality across the development lifecycle.

The Tier 1 Support Analyst role involves troubleshooting and resolving customer issues, communicating effectively, documenting solutions, and mentoring colleagues, while ensuring customer satisfaction.

The Escalation Manager is responsible for addressing significant customer dissatisfaction, coordinating issue resolution, and ensuring positive customer experiences while identifying risks for top-tier clients.

Own and resolve Tier 2 customer cases for Keyloop products: troubleshoot, diagnose, communicate with customers and internal teams, document resolutions, produce knowledge articles, perform root cause analysis, mentor colleagues, and recommend process improvements to reduce case volumes.

The RPA Developer - Project Manager will collaborate with teams to optimize processes, implement automation, and enhance knowledge management for Keyloop's products, focusing on continuous improvement and operational efficiency.

The Principal Engineer leads the technical vision for Keyloop’s platform, solves complex problems, drives critical initiatives, and mentors senior engineers while aligning technology strategy with business goals.

Lead and manage a support team to ensure timely, high-quality resolution of customer issues. Develop and optimise support policies, monitor KPIs, drive continuous improvement, handle escalations, coach team members, recruit and onboard staff, and collaborate with Product, Engineering, and Sales to resolve systemic issues and improve customer experience.

Provide Tier 1 product support for Keyloop products: own, troubleshoot, diagnose and resolve customer issues, escalate appropriately, document solutions, coach colleagues, and contribute to process improvement and root-cause analysis while communicating empathetically with customers and global teams.

Provide application support for Keyloop products by owning, troubleshooting, diagnosing and resolving customer issues. Escalate when needed, document solutions, coach colleagues, perform root cause analysis, and contribute to case-reduction and knowledge improvements.

Own and prioritise a customer-facing product backlog, write and accept epics/user stories, collaborate with engineering and product management, use metrics to inform prioritisation, and grow into hands-on use of AI tools to prototype and validate product ideas.

Hands-on software engineering role focused on enabling distributed engineering teams to adopt AI-assisted and agentic development. Responsibilities include coaching AI Champions, providing technical mentoring, piloting experimental AI capabilities on internal systems, contributing feedback and code to platform solutions, triaging blockers, sharing best practices, and tracking developments in AI tooling and practices.

Tier 2 Product Support Analyst responsible for owning, troubleshooting, escalating and resolving customer issues for the Keyloop product suite. Provide empathetic, timely communication in Japanese and English, document solutions, perform root-cause analysis, coach colleagues, recommend process improvements, and contribute to case-reduction and service-quality initiatives.

Manage multiple large internal and customer-facing IT projects end-to-end: define scope, plans, budgets and teams; communicate with stakeholders; manage risks, deliverables, billing milestones and project documentation to ensure on-time, on-budget delivery and continuous improvement.

Lead design and implementation of enterprise Linux platforms across AWS regions and data centers. Provide technical direction, own strategic initiatives, deliver infrastructure automation, support large-scale fleets, harden systems for security, run POCs, and provide 3rd-line escalation and training to operations teams.

Work as a subject-matter implementation consultant delivering DMS/CRM/ERP deployments: discovery, documentation, configuration, training, and post go-live support. Drive standardization, maintain product knowledge, support project leads, engage customers onsite and remotely, and improve deployment efficiency through SureStart methodology.

Lead deployment and continuous improvement of knowledge management programs (KCS), coach and audit content quality, maintain KM platforms and workflows, drive AI initiatives and self-serve adoption, and collaborate cross-functionally to ensure content standards and commercial alignment.