Senior Product Engineer

Our client is focused on establishing the future of AI governance. Their core mission is to equip organisations with an AI usage control platform designed to enable the secure and effective governance, monitoring, and management of AI deployment across their enterprise. We operate as a high-velocity, high-autonomy startup, founded on the principle of extreme ownership.

The Role: Ownership of the Agentic Product Stream

This represents a foundational appointment for this fast growing AI startup, where you will be the first hire in this area will assume sole ownership for the entire agentic product development lifecycle, utilising state-of-the-art tools from Anthropic - especially Claude Code and the Anthropic Agent SDKs.

We specifically want to speak with Product Engineers that are using Claude Code daily in their work and want to see this in your application and CV!!

The successful candidate will be the singular driver of both the product strategy and its technical implementation. We maintain an operational structure without dedicated Product Managers.

You will engage directly with the senior leadership team, making critical decisions regarding:

• The prioritisation of development initiatives, informed by direct customer feedback, market dynamics, and data analysis.
• The definition and measurement of product success metrics.
• The technical architecture and corresponding delivery roadmap.

The successful candidate will serve as a key technical leader within a small, high-autonomy team where profound ownership is the established standard.

Key Responsibilities and Ownership Areas:

For the initial 6-12 months, this will function as a hands-on individual contributor role, working in close collaboration with the senior leadership team. The incumbent will be responsible for building the core product, defining the technical trajectory, and establishing the operational foundations for the engineering function. As the product matures and the team expands, there will be significant scope to contribute to the scaling of the engineering team.

Product Direction:

Define the strategic roadmap based on comprehensive customer insight, market analysis, and product intuition. This includes direct engagement with customers, analysis of usage data, and making high-conviction product bets.

System Design:

Architect and construct sophisticated multi-agent workflows leveraging Claude, encompassing tool use, structured output generation, system prompt refinement, and the implementation of robust guardrails.

Full-Stack Delivery:

Deploy production-grade features across the platform, including real-time monitoring dashboards, policy enforcement engines, API integrations, and the agent orchestration layers.

AI Governance Intelligence:

Develop systems for enterprise AI usage comprehension and control including the detection of shadow AI, comprehensive usage analytics, policy enforcement mechanisms, and regulatory compliance reporting.

Technical Leadership:

Establish engineering best practices, make authoritative architecture decisions, and help define the future structure of the engineering team as it scales.

What we need from you:

Full-Stack Engineering:

A minimum of 8 years experience in building and deploying production-grade software. The ideal candidate will be a technical generalist capable of conducting deep-dives into any requisite technology, with a demonstrated history of end-to-end system ownership.

Hands-On AI Development:

Proven experience building production systems utilising Large Language Model APIs (Anthropic etc.), including expertise in Retrieval-Augmented Generation (RAG), embeddings, prompt engineering, tool use, and structured outputs. A profound understanding of designing reliable and safe AI systems is mandatory.

Agentic Systems Experience:

Experience in developing or operating with multi-agent architectures, orchestration frameworks, or autonomous AI workflows, coupled with a deep understanding of design patterns for creating reliable and controllable agent systems.

Strong Product Acumen:

The demonstrated ability to operate effectively without a dedicated Product Manager, including the ownership of metrics, conducting customer conversations, and translating inherent ambiguity into clear product decisions.

Startup Mindset:

The candidate must thrive in environments characterised by extreme ownership, rapid iteration cycles, and high autonomy, and be highly motivated by the prospect of building a core product from the ground up within a small, focused team.

The Tech Stack:

You must be comfortable navigating and contributing across a diverse range of technologies and possess a willingness to engage with any necessary technical domain. We are willing to discuss this role with any engineer with other tech stacks as long as they use Claude Code on a daily basis.

Frontend:

Next.js, React, TailwindCSS

AI/ML:

LLM APIs, embeddings, vector databases

Infrastructure:

Azure / AWS, serverless architectures

Whats on offer:

Location: Fully Remote within the UK

Meaningful Equity: A substantial ownership stake in the company's growth.

High Ownership: A role with founding-level impact-you will own the product from its inception.

Modern AI Stack: Access to and work with the latest LLMs and cutting-edge agentic frameworks, supported by an ample token budget.

Growth Trajectory: Role and responsibilities are projected to scale rapidly in correlation with product and team expansion.

#J-18808-Ljbffr