Top Hybrid Jobs

Develop AI/ML applications for information extraction, engage in data fusion, pattern recognition, and anomaly detection, and support high-impact projects for national missions.

The Senior Multi-Discipline Test Engineer will provide engineering expertise in developing and executing test designs and plans for space systems. Responsibilities include supporting integrated test teams, performing operational analysis, and guiding subject matter experts in defining critical test conditions based on analysis needs.

The Senior Payroll Compliance Analyst will research payroll compliance rules, communicate changes, assist with internal testing, resolve issues, and guide product development from a regulatory perspective. The role requires collaboration with engineering teams and support for customer care advocates, all while improving processes and maintaining compliance.

The Security Operations Analyst will monitor and respond to security incidents, enhance security tools, develop automation scripts, analyze vulnerabilities, and collaborate with teams to remediate security weaknesses. The role focuses on advancing security operations and vulnerability management initiatives.

The CX Facilitator - Learning & Development Associate at Gusto is responsible for leading the design and delivery of impactful learning sessions, overseeing course content development, and managing high-visibility learning programs. The role emphasizes creating an inclusive learning environment, providing real-time feedback, and ensuring alignment with business goals.

As the Head of Global Enablement Programs at Klaviyo, you will lead a team to develop and execute enablement initiatives, focusing on onboarding and skill development for sales and customer success teams. You will collaborate across departments to align programs with business goals, measure success metrics, and drive continuous improvement in a dynamic SaaS environment.

The Senior Business Intelligence Analyst role at Klaviyo involves analyzing data to drive business decisions, building models, and presenting findings to key stakeholders. Responsibilities include maintaining data environments, performing hypothesis testing, creating analysis frameworks, and contributing to predictive models. The ideal candidate should possess a quantitative background and strong analytical skills.