Jobs at Consumer Reports

Serve as a trusted People and Culture advisor to employees, managers, and department leaders. Handle employee and labor relations matters, investigate workplace concerns, support talent and performance management, manage staff transitions, provide employment-law guidance, and analyze employee data. The role also supports HR initiatives, organizational change, manager training, and equitable workplace practices in a hybrid environment.

Oversee complex, enterprise-wide IT programs and projects supporting data and personalization initiatives. Develop strategies, business cases, plans, budgets, and schedules; coordinate cross-functional teams, vendors, and executives; manage dependencies and priorities; track milestones; and ensure projects meet strategic goals. Maintain JIRA product backlogs and collaborate with Product Management and technical stakeholders to translate business and technical requirements into actionable work.

Develop and execute integrated B2B marketing programs for Consumer Reports Data Intelligence and other commercial offerings. Build demand through email, digital, organic and paid marketing, thought leadership, events, webinars, content, and sales enablement. Partner with sales, product, research, and leadership teams on messaging, positioning, go-to-market planning, and executive visibility. Measure campaign performance, optimize initiatives, and help expand the organization’s B2B marketing capabilities.

Build and own full-stack AI applications, data APIs, dashboards, and cloud-native services. Develop Python and Node.js backends, React frontends, AI/ML integrations, RAG pipelines, authentication, API management, testing, CI/CD, and performance improvements. Collaborate with AI/ML engineers, data scientists, product, and design teams to deliver scalable, reliable, intuitive, and responsible AI experiences.

Lead architecture and implementation of AskCR across web and mobile. Coordinate cross-team engineering, establish CI/CD and observability best practices, diagnose production issues, mentor engineers, and deliver multi-platform, AI-driven features integrated with backend APIs.