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Gradient Labs
Actively Hiring
Conversational AI platform transforming customer operations in financial service11-50 Employees
  • Responds within three weeks
    Based on past data, Gradient Labs usually responds to incoming applications within three weeks

Jobs at Gradient Labs

At Gradient Labs, we’re on a mission to make exceptional customer service the norm. Founded in 2023, we’ve quickly gone from an idea to a growing team with customers you know (and probably love). Our AI agent helps businesses handle even the trickiest, high-stakes customer support queries safely and effectively, all while giving them the visibility and control they need to trust the outcomes. We’re a small but mighty team of builders from leading companies like Monzo, Pleo, and Google. We work in a hybrid model from our London office, a short walk from Liverpool Street Station, where we collaborate and connect 2-3 days a week. If you’re excited to tackle some of the hardest problems in AI and help shape the future of customer operations, we’d love to hear from you.
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Sales

Sales Development Representative

NewPosted 1 week ago

Sales Development Representative

  • Pipeline generation: own the top of the funnel and turn cold accounts into qualified meetings for our Enterprise AEs. This is the core of the role, and you'll take the grind head on.
  • Strategic account research: partner with Enterprise AEs to research and prioritise high-conviction accounts across banking, fintech, lending, and insurance, and map the many stakeholders involved in an enterprise deal.
Sales

Enterprise Account Executive

NewPosted 3 weeks ago

Enterprise Account Executive

  • 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.
Engineering

Lead Product Data Scientist

NewPosted 1 month ago

Lead Product Data Scientist

  • 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.
Sales

Enterprise Account Executive

NewPosted 1 month ago

Enterprise Account Executive

  • 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.
Engineering

Senior Backend Engineer

NewPosted 1 month ago

Senior Backend Engineer

  • 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 ...
Engineering

Senior AI Engineer

NewPosted 1 month ago

Senior AI Engineer

  • 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...
Other

Lead Deployment Strategist

NewPosted 6 months ago

Lead Deployment Strategist

  • 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.