Top Tech Jobs & Startup Jobs

Lead the evolution of a fraud screening platform by integrating Generative AI and machine learning, mentoring teams, and driving solutions in an Agile environment.

Lead North America payroll operations to ensure timely, accurate payroll delivery, manage incident and audit processes, oversee complex U.S. and Canadian payroll transactions, drive process improvements, analyze payroll data trends, and execute strategic initiatives under the Head of Payroll.

The Advisory Platforms Product Owner will manage technology changes for the Wealth Management platform, focusing on user journey mapping, stakeholder engagement, and product testing to enhance client and advisor experiences.

Lead the design, development, and delivery of Parametric's middle- and back-office software. Manage and mentor developers, own project lifecycle, build cloud-native microservices on AWS, implement CI/CD and IaC, ensure code quality, and collaborate with business and technical stakeholders to deliver scalable, resilient solutions.

The Product Manager will collaborate with cross-functional teams to define and develop workplace benefit platforms, manage product backlogs, and drive improvements based on data analysis and user feedback.

The role involves enhancing finance processes, providing product KPIs, conducting analyses for growth opportunities, overseeing financial reporting, and collaborating across the firm regarding financial controls and initiatives.

The Principal Data Engineer will lead development projects, design scalable data pipelines, ensure data quality, and mentor a team of engineers while collaborating with stakeholders.

Lead Site Reliability Engineer responsible for production support, automating deployments, monitoring availability and performance, troubleshooting infrastructure and applications, driving reliability improvements, collaborating with development and infrastructure teams, and participating in 24/7 on-call rotation.

The role involves engaging clients on impact investing, developing strategies for family offices and foundations, and supporting capital deployment decisions.

The Data Engineer will design and implement ETL frameworks, perform data analysis, troubleshoot data issues, and optimize data models to meet business needs.