AI Product Ops in Reading

AI Product Ops in Reading

Reading Full-Time 50000 - 50000 £ / year (est.) No home office possible
TalentCo

At a Glance

  • Tasks: Deploy AI systems and automate workflows across various business functions.
  • Company: Exciting seed stage tech startup with a focus on AI innovation.
  • Benefits: Competitive salary, equity opportunities, and fully remote work.
  • Why this job: Join a passionate team and make a real impact in the AI space.
  • Qualifications: Top graduate with hands-on AI experience and a genuine passion for technology.
  • Other info: Work closely with co-founders in a dynamic, growth-oriented environment.

The predicted salary is between 50000 - 50000 £ per year.

TalentCo are thrilled to be working with a seed stage tech startup looking to make an exceptional AI Product Ops hire into their UK business, to play a pivotal role in building and deploying AI systems and automations across the business, as they move towards an AI-native culture. Their ideal candidate is a high-potential, ambitious and AI-obsessed recent grad and this is a rare opportunity to work extremely closely with the co-founders of this 30 person UK & US based startup. The role can be based fully-remote anywhere in the UK.

As AI Product Ops you will:

  • Deploy AI systems across the business, automating workflows across engineering, finance, ops, and growth.
  • Build and run multi-agent systems that execute tasks end-to-end (research → modelling → outreach).
  • Own the automation stack using tools like Clay, n8n, Claude Code, Codex and APIs stitched into scalable systems.
  • Prototype, test, and deploy fast — shipping systems in days that eliminate bottlenecks and create serious leverage.

We want to hear from you if:

  • You're a top graduate from a prestigious university, with a strong academic record that reflects your intellectual rigour and curiosity. Bonus points for a STEM degree.
  • Deep hands-on experience with tools like Claude Code, Codex (or similar), Clay, n8n, and agent frameworks like OpenClaw.
  • Proven track record of building and deploying real AI systems (not demos), including multi-step automated workflows.
  • Experience running agents in production environments with reliability and scale in mind.
  • You have a genuine, intense interest in AI. This is vitally important. You're someone who not only follows the latest in AI but is deeply passionate about the subject.
  • You have at least 6 months of professional experience (interesting internships count here) where the use of AI tooling has played a significant part.

What you’ll get:

  • Salary of c£50k
  • Equity share opportunities
  • Remote setup anywhere in the UK
  • Career rocket fuel - real growth, real ownership, real impact

AI Product Ops in Reading employer: TalentCo

Join a dynamic seed stage tech startup that champions innovation and creativity in the AI space. With a fully remote setup across the UK, you'll work closely with visionary co-founders and have the chance to make a significant impact on the company's AI-native culture. Enjoy competitive salary packages, equity share opportunities, and unparalleled career growth in an environment that values ambition and passion for AI.
TalentCo

Contact Detail:

TalentCo Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Product Ops in Reading

✨Tip Number 1

Network like a pro! Reach out to people in the AI space, especially those who work at startups. Use LinkedIn to connect and engage with them. A friendly message can go a long way in getting your foot in the door.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing any AI projects you've worked on. Whether it's a personal project or something from an internship, having tangible examples of your work can really impress potential employers.

✨Tip Number 3

Prepare for interviews by brushing up on your knowledge of AI tools and systems. Be ready to discuss how you've used them in real-world scenarios. This will show that you're not just passionate about AI, but also knowledgeable and ready to contribute.

✨Tip Number 4

Apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team. Don't miss out on this opportunity!

We think you need these skills to ace AI Product Ops in Reading

AI Systems Deployment
Workflow Automation
Multi-Agent Systems
Clay
n8n
Claude Code
Codex
API Integration
Prototyping
Testing and Deployment
Building Automated Workflows
Production Environment Reliability
Interest in AI
STEM Degree

Some tips for your application 🫡

Show Your Passion for AI: Make sure to highlight your genuine interest in AI throughout your application. We want to see that you're not just knowledgeable but also excited about the field. Share any projects or experiences that showcase your passion!

Tailor Your CV and Cover Letter: Don’t just send a generic CV! We love seeing applications that are tailored to the role. Mention specific tools and experiences that align with the job description, especially your hands-on experience with AI systems.

Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm. Avoid fluff and get straight to the good stuff!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out on being part of our journey!

How to prepare for a job interview at TalentCo

✨Know Your AI Tools

Make sure you’re well-versed in the tools mentioned in the job description, like Claude Code and n8n. Be ready to discuss your hands-on experience with these tools and how you've used them to build and deploy AI systems.

✨Show Your Passion for AI

This role is all about a genuine interest in AI, so don’t hold back! Share your thoughts on recent developments in the field and how they inspire you. This will show that you’re not just qualified, but also truly invested in the subject.

✨Prepare Real-World Examples

Think of specific projects or experiences where you’ve successfully built and deployed AI systems. Be ready to explain the challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills and practical knowledge.

✨Understand the Company Culture

Research the startup’s mission and values. Since they’re moving towards an AI-native culture, think about how you can contribute to that vision. Showing that you align with their goals will make you a more attractive candidate.

AI Product Ops in Reading
TalentCo
Location: Reading

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