Staff Backend Software Engineer (Builders)
Design, build, and operate scalable back-end systems that power AI agent and workflow builders. Own mission-critical services and infrastructure, delivering impactful features from ideation through to production. Push the boundaries of applied AI by enabling new agent capabilities, workflow orchestration, and system behaviours. Shape how we build by influencing engineering standards, architecture, and processes as we scale. Mentor and support engineers across the team, raising the bar for technical quality and ownership. Set and uphold high standards for code quality, performance, reliability, and security. Collaborate closely with product, design, and leadership to align technical direction with business outcomes.
Staff Backend Software Engineer (Chat)
Design, build, and operate scalable back-end systems that power real-time, AI-driven chat experiences. Own mission-critical services and infrastructure, delivering impactful features from ideation through to production. Push the boundaries of applied AI by enabling new agent capabilities, workflows, and system behaviours. Shape how the engineering team builds by influencing engineering standards, architecture, and processes as the team scales. Mentor and support engineers across the team, raising the bar for technical quality and ownership. Set and uphold high standards for code quality, performance, reliability, and security. Collaborate closely with product, design, and leadership to align technical direction with business outcomes.
Senior Backend Software Engineer (Chat)
Design, build, and operate scalable back-end systems that power real-time, AI-driven chat experiences. Own mission-critical services and infrastructure, delivering impactful features from ideation through to production. Push the boundaries of applied AI by enabling new agent capabilities, workflows, and system behaviours. Shape how engineering standards, architecture, and processes are built and scaled. Mentor and support engineers across the team, raising the bar for technical quality and ownership. Set and uphold high standards for code quality, performance, reliability, and security. Collaborate closely with product, design, and leadership to align technical direction with business outcomes.
Senior Backend Software Engineer (Builders)
Design, build, and operate scalable back-end systems that power AI agent and workflow builders. Own mission-critical services and infrastructure, delivering impactful features from ideation through to production. Push the boundaries of applied AI by enabling new agent capabilities, workflow orchestration, and system behaviours. Shape engineering standards, architecture, and processes as the team scales. Mentor and support engineers across the team, raising the bar for technical quality and ownership. Set and uphold high standards for code quality, performance, reliability, and security. Collaborate closely with product, design, and leadership to align technical direction with business outcomes.
Staff AI Engineer
Design and implement AI agents and extend existing agents with new capabilities including managing agent context using techniques like sub-agents and retrieval-based context management. Develop complex tools for agents such as computer use and browser use. Research and develop multi-agent orchestration and tool calling systems to enable collaboration between agents. Build and maintain production-grade APIs and AI-powered features across backend services and user-facing experiences. Evaluate AI performance through tests and evaluations and iterate on prompts, agent tools, and orchestration to improve output quality and reliability.
Senior AI Engineer
Develop AI agents and multi-agent systems by designing and implementing agents and extending existing agent capabilities, including managing the agent's context using techniques like sub-agents and retrieval-based context management. Develop complex tools for agents such as computer use and browser use. Research and build systems for multi-agent orchestration and agent tool calling to manage collaboration and tool usage. Engage in full-stack development to build and maintain production-grade APIs and AI-powered features, covering backend services to user-facing experiences. Evaluate AI performance using tests and evaluations to iterate and improve prompts, agent tools, and orchestration for better output quality and reliability.
Enterprise Account Executive - Italy
The AI Outcomes Manager will partner with executive sponsors and end users to identify high-impact use cases and turn them into measurable business outcomes on Glean. They will lead strategic reviews and advise customers on their AI roadmap to ensure maximum value from Glean's platform. The role involves translating business needs into clear problem statements, success metrics, and practical AI solutions while collaborating with Product and R&D to shape priorities. They will conduct discovery workshops, scope pilots, and guide rollouts to drive broad and deep adoption of the Glean platform. Additionally, they will design and build AI agents with and for customers, including rethinking and redesigning underlying business processes to maximize impact and usability. The manager will proactively identify expansion opportunities and drive engagement across teams and functions.
Senior AI Engineer - San Mateo, CA
The role involves training, evaluating, and monitoring new and improved LLMs and other algorithmic models. The engineer will test and deploy content moderation models in production and iterate based on real-world performance metrics and feedback loops. They are expected to develop medium to long-term vision for content understanding-related R&D, collaborating with management, product, policy & operations, and engineering teams. The position requires taking ownership of results delivered to customers, advocating for changes in approach where needed, and leading cross-functional execution.
MCP & Tools Python Developer - Agent Evaluation Infrastructure
Developing and maintaining MCP-compatible evaluation servers, implementing logic to check agent actions against scenario definitions, creating or extending tools that writers and QAs use to test agents, working closely with infrastructure engineers to ensure compatibility, and occasionally helping with test writing or debug sessions when needed.
Quantum Computing Researcher
The role involves designing, sourcing, shaping, and evaluating input signal at scale to improve AI model learning speed, quality, and generalization across the entire training lifecycle. Responsibilities include working deeply with raw and synthetic data, designing new datasets and signal mixtures, iterating on input distributions and formats, understanding small changes in signal and their effects on training behavior, and considering the entire training stages as a dynamic and evolving system rather than as static assets. It also requires immersion, experimentation, and developing intuition through long feedback loops.
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