Top Tech Jobs & Startup Jobs

Lead APAC privacy compliance activities, provide privacy risk oversight and challenge business units, evaluate and improve data protection frameworks, partner cross-functionally to embed privacy controls, drive privacy awareness and training, and support implementation of global privacy program and regulatory interactions.

Lead strategic planning and execution of complex technical projects and Agile Release Trains. Coordinate PI planning, resource allocation, risk management, metrics analysis, and stakeholder communication. Mentor delivery teams, ensure SDLC compliance, maintain project documentation, and drive continuous improvement and technical documentation to align technology initiatives with business objectives.

Lead research and prototype development for generative AI and emerging technologies. Design architectures, build prototypes and proofs-of-concept, evaluate external partners, and collaborate across teams to translate research into production-ready recommendations and solutions.

Lead and mentor software engineering teams to design, build, deploy, and monitor scalable, event-driven cloud applications; drive automation, innovation, and alignment between technology and business stakeholders while ensuring reliable delivery and operational excellence.

Lead a team to design, build, and deploy AI-powered product management tools and multi-agent systems. Implement MCP infrastructure, production observability, and scalable integrations with enterprise platforms. Drive adoption, governance, and AI-enabled operating models while partnering across Product, Engineering, Risk, and Governance to measure impact and ensure responsible use.

The Talent Acquisition Partner will manage the end-to-end hiring process, develop recruitment strategies, maintain candidate pipelines, and ensure a positive experience for candidates and hiring leaders.

Acts as chief of staff to the SVP of Enterprise Data Management & Products, driving strategy execution, program office governance, communications, leadership engagement, workforce planning, and cross-functional alignment to deliver data, product, privacy, and AI priorities.

The Manager will develop fraud prevention strategies, manage fraud-related disruptions, conceptualize new data features, and integrate data sources to enhance detection methods while collaborating with various teams.

The Analyst will support compliance initiatives, manage escalations, collaborate with teams, design processes, analyze data, and lead a team to enhance adherence to Network and Brand Protection policies.

The Director of Data Engineering - Agentic AI will lead the strategy and execution of agentic AI systems, guiding architectural standards and managing high-performing teams, while influencing investment strategy and ensuring cross-team integration for cohesive solutions.