Top Tech Jobs & Startup Jobs

Design, build, and maintain scalable cloud data platforms and AI-driven applications (RAG and agentic workflows). Implement distributed data processing (Spark/Databricks/Snowflake), unstructured data pipelines, APIs/services, CI/CD, and ensure performance, security, and reliability while collaborating with AI/ML and product teams.

As a Staff Software Engineer, you'll design and develop scalable backend systems for an AI platform, collaborating with cross-functional teams to drive product delivery and implementing infrastructure as code.

Seeking a Site Reliability Engineer with Go proficiency to enhance tooling automation, incident response, and standards in a multi-cloud environment. Responsible for self-service enablement and operational support.

As Director, AI Advisory, serve as a strategic partner to Global 2000 customers. Shape AI transformation journeys, lead workshops, enable operationalization of AI, and mentor team members.

Seeking an enterprise sales leader to drive strategic growth with Fortune 500 clients, focusing on C-suite engagement and complex AI deals. Responsibilities include strategic account management, sales execution, cross-functional leadership, and pipeline development.

The VP of GSI Partnerships will define and execute the global partnership strategy, manage relationships with top-tier GSIs, and drive revenue through joint opportunities while mentoring a small team.

The Staff Software Engineer - SRE will design and build automation frameworks, enhance incident response processes, and enforce operational standards while collaborating with feature teams to scale engineering excellence.

As a Staff Software Engineer, you will own front-end design and delivery, mentor engineers, influence technical decisions, and ensure scalability and quality of UI components while collaborating across teams.

The role involves leading frontend software development, designing scalable architecture, mentoring engineers, and ensuring product quality and performance across teams.

Lead AI solution development for large enterprise clients, architecting and validating robust AI solutions while mentoring teams and driving ongoing innovation.