Top Tech Jobs & Startup Jobs

ProductNow seeks collaborative individuals who want to impact product teams. They focus on reducing coordination overhead and enhancing AI-assisted workflows.

Lead high-profile client and talent relationships to design and execute celebrity and influencer campaigns. Negotiate contracts and usage rights, manage budgets, track KPIs, mentor account team members, collaborate cross-functionally, and support new business and scaling of operations.

Analyze projected demand, inventory, throughput, and capacity across the distribution center to optimize staffing, storage, and workflows. Produce forecasts, reports, and dashboards, identify bottlenecks, plan slotting and space utilization, track KPIs, and collaborate with operations, inventory, and transportation to drive efficiency and safety compliance.

The Customer Success Analyst will implement customer requirements, manage onboarding, drive time to value, support client issues, and assist with QA testing.

Design strategic, cohesive brand identities and marketing materials across print, digital, environmental, and experiential platforms. Collaborate with strategists, project managers, clients, and vendors to translate insights into visual systems, campaigns, presentations, signage, and social content while managing multiple projects to meet brand and business goals.

The Jury Consultant will perform tasks related to jury consulting, including research, jury selection, and client engagement, while leading projects from intake to delivery.

The Director of Customer Success (Enterprise) will manage Enterprise client relationships, ensuring successful onboarding, retention, and expansion of usage of APIs while driving cross-functional collaboration across Sales, Product, and Operations.

This role involves driving AI strategy and infrastructure investments at Google DeepMind, overseeing high-stakes decisions that shape Google's AI product portfolio and future.

As a Senior Product Engineer, you will own the product direction, build core systems, and create end-to-end experiences in a data intelligence platform, requiring 6+ years of web application experience.

The Manager of Data Engineering leads a team to implement data architecture, manages project execution, and ensures pipeline quality. Responsibilities include team management, setting standards, developing engineering culture, and collaborating with stakeholders.