Top Tech Jobs & Startup Jobs

Drive revenue growth by prospecting and managing accounts within an assigned territory. Build pipeline, develop territory business plans, convert leads to closed deals, maintain CRM records, forecast sales, collaborate with presales and implementation teams, and manage retention, upsell and cross-sell activities.

Develop and execute automated and performance tests, collaborate with cross-functional teams, report defects and root causes, investigate performance issues, improve test frameworks and processes, maintain documentation, and support continuous improvement initiatives.

Design, develop, test, and maintain scalable microservice-based applications. Translate product requirements into maintainable technical solutions, build resilient services, contribute to CI/CD, collaborate with stakeholders, review code, mentor teammates, and validate solutions with customers.

Lead an embedded AI squad from discovery to production: harden and deliver AI prototypes, design reusable agentic AI patterns and architectures, ensure security/data governance, integrate AI into enterprise systems, codify reference implementations, mentor engineers, and measure outcomes to scale solutions across the organization.

Manage and grow a portfolio of airline customers in Europe, drive new business, build territory and account plans, identify customer challenges, present value-based solutions, lead client meetings, and maintain records in Salesforce to maximise retention and revenue.

Lead analytic projects and teams, review and approve models, define frameworks, methodologies and governance, design LLM/RAG/agentic AI systems with knowledge-graph and embedding integration, ensure evaluation, cost-performance optimization, AI observability, and compliance-aware production deployment while mentoring staff and communicating with senior stakeholders.

Lead complex, customer-facing projects from initiation through delivery. Manage schedules, risks, dependencies, governance, stakeholder communications, scope/change control, compliance, and executive reporting. Drive cross-functional alignment, issue resolution, and PMO best practices while operating in fast-paced, regulated environments.

Lead a team of 4-5 ML engineers to design, build, and operate scalable AI/ML systems and agentic architectures. Provide architecture and code guidance, establish ML engineering best practices, standardize LLM serving and retrieval infrastructure, implement safety guardrails and traceability, define evaluation frameworks for reasoning quality, and ensure CI/CD, data governance, and responsible AI compliance.

Design and build scalable data pipelines and models to enable segmentation, attribution, real-time engagement, and analytics. Ensure data quality, governance, and GDPR/PII compliance while partnering with MarTech, analytics, and marketing teams to deliver production-ready datasets, event streams, and CDP functionality for customer journey orchestration.

Lead design, validation, deployment, and monitoring of fraud prevention ML models and analytical frameworks. Partner with product, tech, and commercial teams to deliver scalable, governance-aligned solutions for identity, entity resolution, and risk decisioning. Mentor data scientists, support customer engagements and proofs of concept, and drive roadmap, innovation, and Responsible AI compliance across global regions.