Product Manager OEM

IFS; England; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading technology firm in the UK is seeking a Product Manager for OEM Engineering to define and deliver early use cases for innovative agentic AI solutions. This role involves leading cross-functional teams to translate cutting-edge capabilities into practical products. Ideal candidates will have experience in product management and a solid understanding of automation and complex workflows. The position offers a full-time employment opportunity without remote work options.

Qualifications

• Proven experience in product management or startup experience building technically complex user-facing systems.
• Strong intuition for applied use cases, especially in automation or real-world workflows.
• Experience working closely with engineers and researchers on system-level product decisions.

Responsibilities

• Lead the definition and delivery of early use cases for agentic AI.
• Define the agent experience from delegation to monitoring.
• Collaborate with engineering to align product needs with platform capabilities.

Skills

Time Management

Data Analytics

Analytical

Agile

Requirement Gathering

Strategic thinking

Visio

Communication

Problem Solving

Market Research

UML

Cross Functional Teams

Tools

LangChain

OpenAI functions

LangGraph

AutoGen

Job description

Were building intelligent autonomous AI agents that can reason plan and act across real-world workflows. These agents go beyond chat they take meaningful action work across tools and systems and operate in complex high-stakes environments.

As our Product Manager for OEM Engineering you’ll lead the definition and delivery of early use cases for agentic AI. You’ll turn cutting‑edge agent capabilities like long‑term memory tool use and planning into applied valuable products.

You’ll be use‑case driven but platform‑aware working closely with engineering and research to ensure what we build is feasible, scalable and aligned with the underlying agent architecture.

Use Case Discovery & Validation

Identify and prioritize agent use cases with high ROI: operational automation, coordination agents, internal task delegation, etc.

Work with users and stakeholders to understand their workflows, challenges and trust boundaries.

Prototype and iterate agent behaviors in production‑like environments to validate fit and reliability.

Product Design & Execution

Define the agent experience from delegation to monitoring to escalation for real‑world scenarios.

Translate use cases into clear product specs: user flows, system interactions, prompts, safety requirements and interfaces.

Own the roadmap and ship iteratively: starting small, learning fast, scaling wisely.

Drive OEM partnerships and product strategy to integrate and scale AI agents within enterprise software ecosystems.

Cross‑Functional Collaboration

Collaborate with engineering to align product needs with agent platform capabilities (planning, memory, tool orchestration, retries, etc.).

Partner with AI research to bring experimental features into real‑world settings.

Ensure the platform supports the complexity of applied multi‑step tool‑using agents.

Strategy & Metrics

Define success metrics around outcomes—time saved, accuracy improved, failures recovered—not just clicks or sessions.

Build product foundations that allow for vertical reuse, system generalization and long‑term scalability.

Qualifications

• Proven experience in product management or startup experience building technically complex user-facing systems
• Strong intuition for applied use cases especially in automation, operations, or real‑world workflows
• Familiarity with agentic AI patterns and tooling (e.g. LLM agents tool use LangChain OpenAI functions memory systems)
• Experience working closely with engineers and researchers on system‑level product decisions
• Strong communication, prioritization and execution skills

Preferred Qualifications

• Exposure to or interest in domains like logistics, field ops, manufacturing or systems integration
• Background in AI / ML infrastructure, developer platforms, robotics or IIoT
• Experience designing for human‑in‑the‑loop or semi‑autonomous systems
• Hands‑on experience with prototyping workflows or agents using modern frameworks (e.g. LangGraph AutoGen)

Additional Information

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation, strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.

Remote Work

No

Employment Type

Full‑time

Experience

years

Vacancy

1

Key Skills

• Time Management
• Data Analytics
• Analytical
• Agile
• Requirement Gathering
• Strategic thinking
• Visio
• Communication
• Problem Solving
• Market Research
• UML
• Cross Functional Teams