Top Senior Level Jobs

Design and build innovative solutions, collaborate with teams for customer-centric development, and optimize processes in a fast-moving environment.

The Customer Success Manager will drive client success, ensuring high adoption, retention, and growth while maximizing product utilization and maintaining relationships.

The Controller will manage accounting operations, ensuring financial compliance and reporting, overseeing audits, and mentoring staff, while partnering with the CFO.

Lead the web application team for IKEA Kreativ, designing features and architectures integrating 3D, AI, and cloud services.

The Senior Data Scientist will develop risk prediction models and perform statistical analyses on clinical datasets, focusing on digital biomarkers for cardiovascular disease. Responsibilities include data pipeline development, cross-team collaboration, and scientific publications.

The Senior Territory Strategy Manager is responsible for developing territory management strategies, analyzing sales data, and collaborating with teams to drive sales productivity and growth.

The Director of Sales will drive revenue growth by pursuing new high-value drone OEM accounts, managing customer relationships, and overseeing complex commercial negotiations.

Design, prototype, and productionize GenAI systems that generate end-to-end ad creatives (including interactive playables). Build robust pipelines, guardrails, and evaluation infrastructure (human-in-the-loop, A/B testing). Partner with creative and product teams, research new model capabilities, and mentor engineers to raise engineering and AI standards.

The Senior AI Engineer will develop generative AI solutions, deploy scalable AI/ML applications in cloud environments, and drive innovative technology projects in financial services.

Design, build, and operate authentication/authorization and high‑availability security services; strengthen data and API protections; detect and mitigate account takeover and abuse; build security platforms and tooling; address ambiguous AI/LLM security risks and promote engineering excellence.