Jobs at Gradient Labs

• Be at the frontline of our product - talk to customers and align directly on what success looks like and how it’s measured. You’ll use raw, real-world data to form clear, actionable insights.
• Directly optimise the performance of our agent, tuning and improving it against those metrics for every customer we onboard.

• Have an entrepreneurial mindset and run your business with that mentality. Own the full cycle. Generate your own pipeline, run thoughtful discovery, diagnose and tailor solutions across complex organizations. You'll lead with our AI support platform and bring back-office work into the conversation when it's the right time for the customer.

• Build the OS for AI Agents - Contribute to a safe, scalable platform that lets us iterate on autonomous agent capabilities faster than anyone else. You are building the infrastructure that makes AI actually work in production.
• Ship Resilient Systems - Design and own systems that hold up under failures, retry storms, and ...

• Build and operate AI agents in production: Design, implement, and maintain agentic systems powered by LLMs - handling tool calling, multi-step reasoning, and integration with customer APIs and data sources. You'll own these systems end-to-end: reliable, observable, and auditable from day one.
• Translate business problems into agentic workflows: Take on ambiguous, open-ended problems (li...

• Own the day-to-day relationships with our current technology and consulting partners, find mutually valuable expansion opportunities (new use cases, stakeholders, co-sell motions), and represent Gradient Labs in partner-facing forums and joint planning sessions.
• Map, prioritise, and open up the partner landscape across:

Hyperscalers (AWS, Microsoft, Goo...

• Own the end-to-end delivery and integration of our AI platform into customer environments, setting the project plan and ensuring a high-quality outcome.
• Conduct deep-dive discovery to define customer objectives, requirements, and the operational landscape needed to successfully deploy the solution.