Top Tech Jobs & Startup Jobs

As a Senior Frontend Engineer, you'll lead the development of frontend applications, crafting seamless user experiences and driving project implementation alongside cross-functional teams.

The Social Content Manager will create and manage content for X and LinkedIn, define editorial perspective, and analyze performance metrics to improve engagement.

As a Software Engineer I/II at Giga, you'll build systems for AI agents and work on projects across the backend, collaborating with senior engineers and taking ownership of smaller features.

The Sales Director will manage strategic relationships, drive growth in enterprise accounts, lead complex sales cycles, and collaborate with cross-functional teams to influence product strategy and customer solutions.

The Sales Director will own relationships with enterprise accounts, drive sales cycles, develop account strategies, and collaborate with teams to create customized solutions for growth.

The Regional Vice President of Sales leads a team of Enterprise Sales Directors, driving strategy and performance in new business sales across the full cycle while establishing relationships with major enterprise clients in AI and Cloud sectors.

Lead the engineering team in developing AI-native enterprise products, shaping technical direction, and ensuring code quality. Manage complex projects, mentor engineers, and scale systems for performance and reliability.

The Staff Swift Engineer will lead the technical direction of iOS SDKs, ensure integration of Giga's voice and chat agents, and maintain high-quality mobile experiences. Responsibilities include designing SDK architecture, optimizing UI and performance, and collaborating with design and web teams to enhance mobile interfaces.

Customer-facing engineer building, deploying, and operating real-time AI voice/chat agents. Run discovery and demos, prototype and iterate quickly, set up CI/CD, monitor live usage, debug issues, communicate with customers, and feed product/platform improvements.

Lead and own the most complex enterprise deployments of real-time AI agents end-to-end. Architect systems, build integrations and tooling, mentor FDE engineers, debug production incidents (telephony, latency, integrations), and translate deployment learnings into product improvements while interfacing directly with customer engineering leadership.