Product Manager - Ai /Agentic Systems

We are looking for a hands-on Product Manager who is passionate about building products with AI. You will work at the intersection of
LLMs, autonomous agents, AI-powered workflows, developer tooling, and cloud infrastructure, helping shape and deliver our core product while identifying opportunities to solve complex problems for clients.
We are particularly interested in someone who understands the rapidly evolving AI landscape and is excited about how LLMs, AI agents, and agentic workflows are changing the way software is built, operated, and managed.
This is not a traditional Product Manager role focused purely on requirements and delivery schedules. We want someone who is technically curious, commercially minded, comfortable experimenting with emerging AI tools, and capable of translating complex technical capabilities into valuable products and customer outcomes.
Our work spans AI-enabled applications, agent orchestration, developer tooling, and cloud-native platforms. This includes building systems that allow organisations to understand, observe, govern, and audit the activities of AI agents, including the tools they invoke, data they access, and actions they take.
Alongside our own product development, you will contribute to client engagements involving AI strategy, product discovery, implementation, and automation.
We are a small, focused team, so this is an opportunity to take meaningful ownership of product strategy, roadmap, customer engagement, and delivery.
Key ResponsibilitiesHelp define and evolve the product vision, strategy, roadmap, and commercial objectives.
Identify opportunities where LLMs, autonomous agents, and AI-powered workflows can solve meaningful customer problems.
Engage with customers and prospects to understand requirements, validate ideas, and identify product opportunities.
Conduct product discovery, customer interviews, market research, and competitor analysis.
Translate customer problems and business objectives into clear product priorities.
Identify opportunities to differentiate our products and build sustainable competitive advantage.
2. Product Development & DeliveryOwn the product roadmap, backlog, prioritisation, and delivery objectives.
Translate product strategy and customer requirements into specifications, user stories, and acceptance criteria.
Work closely with engineering teams to define scope, assess technical trade-offs, and deliver product functionality.
Balance customer value, commercial impact, technical complexity, and delivery priorities.
Oversee product development from initial concept and prototyping through to launch and continuous improvement.
Define product KPIs and success metrics, using customer feedback and product analytics to guide decisions.
Ensure delivered products meet customer expectations and achieve their intended business outcomes.
3. AI, LLMs & Agentic ProductsDevelop a strong understanding of LLMs, AI agents, agent harnesses, and emerging AI technologies.
Identify opportunities to incorporate AI agents into products and workflows to deliver meaningful automation.
Work with engineering teams to define agent capabilities, integrations, tool usage, and orchestration.
Understand concepts such as context management, tool calling, RAG, memory, and multi-agent workflows.
Help define product requirements around AI reliability, evaluation, security, permissions, and human oversight.
Experiment with AI tools such as Claude Code and OpenAI Codex to accelerate product discovery, prototyping, and development.
Translate complex AI capabilities into intuitive, commercially valuable products.
Work with engineers to shape products across APIs, cloud infrastructure, integrations, and distributed systems.
Help define capabilities for monitoring and governing AI agents, including activity tracking, tool invocations, execution history, and auditability.
Understand enterprise requirements around identity, authentication, authorisation, security, and data governance.
Make informed product decisions that balance usability, scalability, reliability, and technical complexity.
Maintain an understanding of the technologies underpinning our products, including Go, Python, TypeScript, AWS, and Kubernetes.
Work with clients to identify opportunities for AI-enabled products, automation, and agentic workflows.
Lead product discovery and requirements-gathering engagements.
Translate business challenges into product concepts, requirements, and implementation roadmaps.
Collaborate with engineering teams to prototype, validate, and deliver solutions.
Help clients move beyond proof-of-concept demonstrations towards production-ready solutions.
Work closely with a small team of engineers and commercial stakeholders, contributing to product direction and business growth.
Technical Skills & ExperienceWe are looking for someone with strong product management fundamentals and a genuine interest in AI, software engineering, and emerging technologies.
AI & Technical UnderstandingExperience or practical knowledge in some of the following areas:
LLMs:
Understanding of OpenAI, Anthropic, and other commercial or open-source models.
AI Agents:
Understanding of autonomous agents, tool usage, orchestration, and multi-step workflows.
AI Coding Tools:
Familiarity with Claude Code, OpenAI Codex, or comparable AI-powered development environments.
Agent Architecture:
Understanding of tool calling, context management, memory, and human-in-the-loop workflows.
AI Applications:
Experience defining or developing products incorporating LLMs and AI-powered functionality.
Technical Platforms:
Familiarity with APIs, cloud infrastructure, AWS, Docker, Kubernetes, or modern software architectures.
Product Management ExperienceExperience owning product roadmaps, backlogs, and prioritisation.
Strong product discovery, customer engagement, and requirements-gathering skills.
Experience translating business requirements into product specifications and user stories.
Experience working closely with software engineering teams in Agile or iterative development environments.
Ability to balance customer needs, commercial priorities, and technical constraints.
Experience defining product KPIs, measuring adoption, and driving continuous improvement.
Experience building SaaS products, developer platforms, infrastructure software, or enterprise technology products would be particularly valuable.
What We're Looking ForAbove all, we want a
product builder who is excited about what becomes possible when AI, autonomous agents, and strong product thinking come together .
You are likely to be a good fit if you:
Are genuinely excited about the potential of LLMs and autonomous agents to transform software and business workflows.
Actively explore emerging AI tools and understand how they can be applied to real-world problems.
Have a strong instinct for identifying customer problems and translating them into valuable product opportunities.
Can combine strategic product thinking with the practical detail required to get products built and shipped.
Are comfortable working closely with engineers and engaging in technical discussions.
Take ownership of product outcomes rather than simply managing tasks and delivery processes.
Can operate effectively in a fast-moving environment where technology and market opportunities are constantly evolving.
Are commercially minded, curious, pragmatic, and comfortable working with ambiguity.
Communicate effectively with customers, engineers, and business stakeholders.
Experience in startups, consulting, professional services, or product engineering environments would be beneficial.
What Makes This Role InterestingThis is an opportunity to help shape products at the forefront of AI, autonomous agents, and the next generation of enterprise software.
You will have the opportunity to:
Shape an emerging market:
Help define products built around LLMs, autonomous agents, and AI-powered workflows.
Turn AI innovation into real products:
Solve meaningful customer and business problems using emerging AI capabilities.
Build next-generation platforms:
Develop products that make agentic systems observable, governable, secure, and enterprise-ready.
Work across product and consulting:
Apply your expertise to our own platform and real-world client challenges.
Take meaningful ownership:
Influence product strategy, roadmap, commercial opportunities, and company direction.
We are looking for Product Managers who want to help shape the future of AI-powered software, combining strong product judgement, technical curiosity, customer understanding, and commercial thinking.
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