AI Product Manager in Slough

AI Product Manager in Slough

Slough Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Open Innovation AI

At a Glance

  • Tasks: Lead the strategy and delivery of AI-powered products that solve real customer problems.
  • Company: Join Open Innovation AI, a global leader in advanced AI workload management solutions.
  • Benefits: Employment visa, relocation assistance, competitive salary, and professional growth opportunities.
  • Other info: Onsite role in Abu Dhabi with excellent career advancement potential.
  • Why this job: Transform cutting-edge AI technologies into impactful applications while working in a dynamic environment.
  • Qualifications: 4-7 years in Product Management with strong technical knowledge of AI and software development.

The predicted salary is between 70000 - 90000 £ per year.

Onsite based role in Abu Dhabi, UAE. Note: We provide employment visa and relocation assistance for those who are willing to consider this ONSITE Opportunity in Abu Dhabi, UAE.

Company Description: Open Innovation AI is a global technology company that specializes in developing advanced solutions for managing AI workloads. Its flagship product, the Open Innovation Cluster Manager (OICM), orchestrates complex AI tasks efficiently across diverse infrastructures. The platform is hardware-agnostic, optimized for various GPUs and accelerators hardware, and facilitates seamless integration and scalability for enterprise AI applications. Open Innovation AI focuses on optimizing and simplifying AI workload management and making AI technologies accessible to organizations of all sizes. With its innovative solutions, companies can reduce operational costs, accelerate time to value, and maximize their return on investment, ensuring that their AI strategies contribute directly to enhanced business outcomes.

Role Overview: We are looking for an AI Product Manager to lead the strategy, design, and delivery of AI-powered products and agentic systems that solve real customer problems at scale. You will work at the intersection of product, engineering, data, and business to transform foundation models, LLMs, and ML capabilities into reliable, secure, and commercially viable applications. This role requires strong product judgment, technical fluency with modern AI stacks (LLMs, RAG, agents, evaluation frameworks), and the ability to translate ambiguous AI possibilities into measurable business outcomes. You will own the full product lifecycle, from discovery and experimentation to production deployment, governance, and continuous optimization.

Key Responsibilities:

  • Product Strategy & Vision
    • Define the product vision, roadmap, and success metrics for AI/ML initiatives
    • Identify high-impact use cases where AI provides defensible value (automation, augmentation, insights)
    • Translate business problems into AI capabilities and system designs
    • Balance feasibility, cost (GPU/infra), performance, and ROI
  • Discovery & Problem Framing
    • Conduct user research to understand workflows, friction points, and opportunities for intelligence
    • Validate ideas through rapid experimentation, pilots, and proofs-of-concept
    • Frame problems as measurable hypotheses (latency, accuracy, cost per request, adoption, etc.)
  • AI System Design & Delivery
    • RAG architectures
    • Agentic workflows
    • Model selection & benchmarking
    • Prompt strategies
    • Evaluation and guardrails
    • Write clear PRDs and technical specs for AI features
    • Prioritize features based on impact, risk, and technical complexity
    • Lead sprint planning and cross-functional execution
  • Evaluation & Quality
    • Define AI-specific metrics: Accuracy, hallucination rate, latency, cost/token
    • User satisfaction and task completion
    • Implement evaluation pipelines and red-teaming processes
    • Drive continuous improvements using experiments and feedback loops
  • Governance, Security & Risk
    • Ensure responsible AI practices: Data privacy, Bias mitigation, Model governance, Compliance requirements
    • Partner with security/legal teams to implement guardrails and safe deployment
  • Stakeholder & Go-to-Market
    • Align leadership, engineering, and GTM teams on roadmap and outcomes
    • Articulate technical tradeoffs to non-technical stakeholders
    • Support launches, positioning, and customer enablement
    • Track adoption and business outcomes post-launch

Required Skills & Experience:

  • Product Fundamentals
    • 4 – 7+ years in Product Management or Technical Product roles
    • Proven experience shipping complex software or platform products
    • Strong PRD writing and roadmap ownership
  • AI / Technical Knowledge
    • LLMs and foundation models
    • RAG pipelines
    • Agents and orchestration frameworks
    • APIs and system architecture
    • Familiarity with Prompt engineering
    • Model evaluation & benchmarking
    • Cost optimization (tokens/GPU/infra)
    • Experiment design (A/B testing, offline evals)
    • Ability to read architecture diagrams and collaborate deeply with engineers
  • Execution
    • Strong prioritization and tradeoff decision making
    • Data-driven mindset
    • Comfortable with ambiguity and rapid iteration
    • Excellent written and verbal communication

AI Product Manager in Slough employer: Open Innovation AI

Open Innovation AI is an exceptional employer, offering a dynamic work environment in the heart of Abu Dhabi, UAE, where innovation thrives. With a strong focus on employee growth, we provide comprehensive relocation assistance and an employment visa for those ready to embrace this onsite opportunity. Our collaborative culture encourages creativity and technical excellence, ensuring that our team members are at the forefront of AI advancements while contributing to meaningful projects that drive real-world impact.

Open Innovation AI

Contact Details:

Open Innovation AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Product Manager in Slough

Join Product Management Meetups

Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Open Innovation AI!

Show Off Your Product Sense

Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Open Innovation AI would be by your initiative!

Utilise Online Communities

Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.

Leverage Your University Network

If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Open Innovation AI through your school's career services!

We think you need these skills to ace AI Product Manager in Slough

Product Management
Technical Product Knowledge
AI/ML Strategy Development
User Research
RAG Architectures
Agentic Workflows
Model Selection & Benchmarking

Some tips for your application 🫡

Show Off Your Product Passion:When applying for a product management role like AI Product Manager, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!

Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!

Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.

Tailor Your CV to the Role:Make sure your CV is tailored for the AI Product Manager position at Open Innovation AI. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!

How to prepare for a job interview at Open Innovation AI

Understand the Product Life Cycle

As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.

Showcase Your Cross-Functional Skills

Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.

Prepare for Case Studies

In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.

Know Your Metrics

Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.