Top Tech Jobs & Startup Jobs

Temporary receptionist responsible for front-desk coverage, visitor and delivery management, office administration, supply restocking, employee assistance, and onsite event and meeting coordination. The role supports Operations and Executive teams, communicates critical updates, and collaborates with HR, Security, Facilities, Accounting, and other departments. This onsite assignment in Palo Alto covers an employee leave for approximately six months.

Lead product strategy, customer engagement, and market positioning for Artemis. Translate practitioner-level national security needs into product requirements, run senior customer briefings, inform roadmap priorities with domain insight, and collaborate across product, engineering, and go-to-market teams to drive mission-relevant features and positioning.

Design, build, and maintain full-stack web applications and backend systems. Lead API/GraphQL development, implement CI/CD and automated tests, perform code reviews, collaborate with UX/product, train users, and translate requirements into scalable, secure software using React, Node.js, PHP and MySQL.

Support go-to-market by coordinating events, managing inbound inquiries, creating customer-facing collateral and executive communications, tracking marketing performance, and enabling sales and business development through cross-functional coordination.

Designs and maintains secure CI/CD, data, development, and operational pipelines. Implements Infrastructure as Code, containerization with Docker and Kubernetes, cloud infrastructure, security automation, vulnerability management, and security controls. Participates in incident response, compliance activities, Agile collaboration, on-call support, and system maintenance. Requires travel within and outside the continental United States 15%–20% of the time.

As a Data Scientist, you will design and develop data pipelines, perform data analysis, and collaborate with the product team to implement solutions for large datasets.

Deploy, configure, and operate Rhombus Power's AI platform across cloud, on-premises, and edge environments. Install and validate hardware, networking, and compute infrastructure; support AWS, Docker, containerized applications, CI/CD, monitoring, and troubleshooting. Perform site readiness, rack mounting, backups, UAT, and disaster recovery. Act as on-site technical liaison, maintain deployment documentation, escalate issues, and provide ongoing operational support for defense customers.

The Data Labeling Manager will lead a team focused on data annotation for AI models involving text, video, and imagery, ensuring quality and operational excellence.

The Data Labeling Specialist will annotate video, text, and imagery for AI systems, ensuring accuracy and communication with project leadership, refining labeling processes, and developing expertise in imagery analysis.

Data Engineers at Rhombus Power design and implement data infrastructure, analyze and maintain data systems, and collaborate across teams. They develop code for data processes and ensure strong client connections.