Top Tech Jobs & Startup Jobs

The Director of AI/Agentic Experience Strategy leads AI-driven customer lifecycle strategies, facilitates AI experience design, and collaborates across teams to enhance consumer interactions in financial services.

The Corporate VP, Director of NYL.com Product Management leads the strategy and roadmap for consumer-facing digital platforms, emphasizing AI, interaction, and user experience. Responsibilities include optimizing conversions, enhancing digital tools, and coordinating cross-functional teams for growth-oriented product initiatives.

The Senior Content Model Specialist governs and evolves the content model for digital experiences, ensuring scalability and AI-readiness, while collaborating with various teams on technical aspects of content delivery and governance.

The Senior Scrum Master leads Agile execution within a SAFe environment, focusing on program alignment, cross-team coordination, metrics-driven delivery, and supporting AI/ML product delivery while coaching teams and engaging stakeholders effectively.

The Scrum Master will facilitate Agile ceremonies, support cross-functional teams, manage dependencies, and track Agile metrics to ensure effective delivery and adherence to Agile practices in a SAFe environment.

The Director of AI Search leads New York Life's AI Search strategy, overseeing AI acquisition strategies and driving AI innovation in marketing experiences. The role requires collaboration across functions to optimize content for AI discoverability and define future-state AI experiences while maintaining compliance and stakeholder alignment.

Ensure implementation of training programs, assist agents with sales and case development, conduct planning sessions, and promote sales within the agency team.

The Associate Development Manager supports agent success through onboarding, training, and performance insights while preparing for leadership roles.

The GCP Lead Engineer will lead cloud architecture initiatives, guide technical teams, oversee cloud solutions compliance, and implement automation for Google Cloud Platform.

The GCP Platform Engineer designs and operates secure, scalable cloud and AI platforms on GCP, enabling applications, data, and analytics teams while ensuring compliance with financial services regulations.