Top Tech Jobs & Startup Jobs

Design, build, and operate scalable, secure cloud infrastructure and internal tooling for high-volume document ingestion and AI data pipelines. Own CI/CD, logging/observability, deployment workflows, and developer efficiency tooling. Collaborate on product direction, engage with clients, and mentor teammates to maintain standards and reliability for enterprise customers.

As a Product Marketing Manager at Tetrix, you will develop go-to-market strategies, craft messaging, create sales collateral, conduct market research, and collaborate across teams to enhance product visibility and client engagement.

As a Forward Deployed Engineer, you'll collaborate directly with customers, architect custom solutions, troubleshoot issues, and enhance product development based on user feedback, ensuring optimal customer experience.

The Staff AI/ML Engineer will design, build, and improve AI systems for document retrieval and data extraction, work with clients, and mentor team members to establish best practices.

The Staff Backend Engineer will lead the development of core backend services, design scalable systems, mentor engineers, and engage with clients, focusing on creating robust APIs and data pipelines using Python.

As a Staff Full Stack Engineer, you'll lead technical direction, innovate across the tech stack, collaborate with clients, and mentor engineers to ensure best practices in a fast-paced startup environment.

The Finance & Operations Analyst validates financial data, enhances data processes, collaborates across teams, and develops client partnerships in a startup environment focused on alternative markets.

Lead and build scalable, secure infrastructure for a SaaS AI product. Contribute to data pipelines, telemetry, and AI agent deployment; shape tech strategy; mentor teammates; and collaborate with customers and product teams to deliver robust production systems.

Build and scale backend systems for a B2B SaaS platform, including data pipelines, AI agents, telemetry and document/data extraction; contribute to product direction, work with clients, champion best practices, and mentor team members.

Build and improve AI/ML systems and data pipelines for a B2B SaaS platform; shape product and technical strategy; work with customers; mentor team members; ensure secure, robust, and scalable infrastructure.