Top Tech Jobs & Startup Jobs

Lead development and maturation of an enterprise insider threat program by identifying critical assets, mapping identity-access relationships, analyzing behavioral and technical indicators, building detection logic, supporting complex investigations, tuning security tooling (SIEM/EDR/UEBA/DLP), and partnering with HR, Legal, Privacy, and business stakeholders for risk-informed monitoring and reporting.

The Staff Machine Learning Engineer will lead the development of AI solutions, ensure project delivery, and manage technical teams while interfacing with customers. Responsibilities include designing data pipelines, overseeing machine learning model development, and facilitating customer engagement.

The Security Engineer will develop a comprehensive security strategy for hybrid robotic deployments, focusing on data encryption, access control, and secure remote access, while ensuring compliance and auditing standards are met.

Lead full-cycle technical recruiting for engineering, data science, and product roles. Source and build pipelines using multi-channel and AI-enabled tools, refine interview frameworks and assessments, present recruiting metrics, manage offers, and partner with stakeholders to drive inclusive hiring and strong candidate experience.

The Senior Trading Software Engineer will optimize performance-critical code, collaborate with trading engineers, implement low-latency solutions, and enhance trading systems.

Support Senior Account Manager in managing large partner relationships and SMB accounts. Project-manage marketing campaign execution, generate and analyze campaign reporting, provide optimization recommendations, onboard and educate clients, collaborate with data scientists and internal stakeholders, and deliver business reviews to demonstrate value.

Lead product strategy and roadmap for Vibes' Platform, balancing reliability for enterprise marketers with an ambitious AI-native transformation. Own AI strategy and partner with Engineering, Data Science, Design, and Customer teams to deliver automation (send-time optimization, personalization, predictive segmentation), define success metrics, build customer relationships, run experiments, and lead cross-functional execution to drive adoption and measurable campaign outcomes.

As a Sr Associate in Fraud Analytics, you'll analyze data, develop fraud rules, implement models, and collaborate with stakeholders to mitigate fraud losses.

As a Product Expert for PLM and ERP, you'll lead the integration of product data across PLM and ERP systems, ensuring compliance and efficiency in trade processes while leveraging AI tools.

Lead commercial performance for a client portfolio: analyze data to set and deliver strategies that improve gross profit and client satisfaction, run competitor and market research, manage budgets and monetization models, build processes, lead cross-functional responses, and use Looker and ML/AI tools to monitor and optimise outcomes.