Top Tech Jobs & Startup Jobs

Support and execute the EMEA benefits strategy across 48 countries for ~22,000 employees. Lead annual renewals, monitor legislative and market trends, optimize costs and harmonization, support benefits in M&A, partner with People Partners, vendors and Mercer Marsh consultants, and roll out global well-being and local enhancements.

Provide accounting support including journal entries, ledger maintenance, reconciliations, revenue and expense analysis, month/quarter close tasks, variance analysis, funds application, and mentoring junior accountants while ensuring compliance with SOX, GAAP, and corporate policies.

Build, test, and scale AI-powered applications using LLMs, data, integrations, and automation. Own features end-to-end, contribute to design and evaluation, implement prompt engineering, retrieval/RAG pipelines, and reusable components, collaborate across teams, and support junior engineers.

Lead and supervise the Business Insurance service team to retain and develop talent, implement departmental objectives, develop and audit processes, and manage onboarding and training. Drive change in a fast-paced environment, maintain strong stakeholder relationships, and ensure clear written and verbal communication, including public speaking.

Builds and maintains cloud infrastructure and self-serve platforms for a fast-moving AI team. Designs CI/CD pipelines, IaC, disaster recovery, and deployment patterns; supports reliability, scaling, and operational resilience for AI-enabled solutions while enabling engineers to self-serve environments.

Serve as WAVE's operational lead: intake partner requests, convert them into clear briefs, prioritize backlog, run governance cadence, protect team capacity, maintain reusable assets, and work with technical counterparts to design practical, scalable AI-enabled solutions that strengthen business development across Banking & Financial Services and regional practices.

Serve as the technical lead bridging consulting and engineering to translate business needs into scalable AI solutions, prioritize engineering work, design reusable assets and platforms, support go-to-market technical credibility, and ensure delivered work is reusable and commercially valuable across Banking & Financial Services and regional practices.

Build LLM- and agent-based prototypes and production solutions, develop ML models where appropriate, prioritize reuse and scalability, collaborate with product, platform, and front-end partners, and support business development through technical delivery and client-facing engagement.

Create high-quality AI-generated content (video, avatars, audio, visuals) and build lightweight front-ends/demos to showcase prototypes. Translate technical outputs into reusable, client-ready marketing and demonstration materials, collaborating closely with AI engineers, analysts, and consultants to iterate quickly and ensure polished, compelling presentations.

Build and ship LLM- and agent-based prototypes and production solutions; develop ML and analytical models when appropriate; design reusable, scalable AI products; collaborate with business, platform, frontend, and delivery teams; join client discussions and move projects from experiment to delivery with high quality.