AI Product Manager

AI Product Manager

Full-Time 70000 - 70000 £ / year (est.) No home office possible
Switch Tech Talent

At a Glance

  • Tasks: Lead the development of data-driven and AI features for impactful software solutions.
  • Company: Dynamic UK tech company focused on innovative public sector solutions.
  • Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
  • Other info: Join a rapidly growing company with a strong commitment to innovation.
  • Why this job: Shape the future of AI in a meaningful way while collaborating with diverse teams.
  • Qualifications: 5+ years in product management with a focus on data and AI products.

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

Location: London / Hybrid (3 days onsite)

Salary: £70,000 per annum

Industry: SAAS B2B

We’re partnering with a growing UK-based technology business operating in a highly regulated environment, delivering software solutions to public sector organisations. Following significant investment and expansion, they’re looking for a Data & AI Product Manager to drive the development of data-driven and AI-enabled capabilities across their platform.

The Role

You’ll lead the discovery, prioritisation, and delivery of data and AI features, working closely with engineering, design, and data teams. This role focuses on identifying high-value opportunities, shaping practical solutions, and ensuring delivery aligns with both user needs and regulatory constraints.

Key Responsibilities

  • Identify and shape data and AI opportunities that solve real user and business problems
  • Translate complex requirements into clear product plans, experiments, and success metrics
  • Collaborate cross-functionally across technical and non-technical teams
  • Balance delivery trade-offs across value, risk, and complexity
  • Ensure appropriate consideration of governance, privacy, and operational impact

About You

  • 5+ years’ product management experience in a technical environment
  • Experience with data, analytics, or AI-enabled products
  • Strong problem-solving skills with a structured, pragmatic approach
  • Comfortable working across engineering, data, and business stakeholders
  • Aware of governance and regulatory considerations in data/AI

Apply now for more info...

AI Product Manager employer: Switch Tech Talent

Join a dynamic and innovative technology company in London, where your role as an AI Product Manager will not only drive the development of cutting-edge data and AI solutions but also contribute to meaningful projects within the public sector. With a strong emphasis on employee growth, collaborative work culture, and a hybrid working model, this company offers a supportive environment that values your contributions while providing opportunities for professional advancement in a rapidly evolving industry.
Switch Tech Talent

Contact Detail:

Switch Tech Talent Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Product Manager

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Prepare for interviews by practising common questions related to AI and product management. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.

✨Tip Number 3

Showcase your passion for data and AI! During interviews, share your thoughts on recent trends or projects you've worked on. This will demonstrate your enthusiasm and knowledge in the field.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace AI Product Manager

Product Management
Data Analysis
AI Product Development
Collaboration Skills
Problem-Solving Skills
Technical Understanding
Regulatory Awareness
User-Centric Design
Project Delivery
Cross-Functional Teamwork
Governance Considerations
Analytical Thinking
Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the role of AI Product Manager. Highlight your experience with data and AI products, and don’t forget to showcase your problem-solving skills. We want to see how you can bring value to our team!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background aligns with our needs. Be sure to mention any relevant projects or experiences that demonstrate your ability to drive data and AI initiatives.

Showcase Your Collaboration Skills: Since this role involves working closely with various teams, make sure to highlight your collaborative experiences. Share examples of how you've successfully worked with engineering, design, and data teams in the past. We love a team player!

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!

How to prepare for a job interview at Switch Tech Talent

✨Know Your Data and AI Stuff

Make sure you brush up on the latest trends in data and AI. Be ready to discuss how you've previously identified and shaped opportunities in these areas. Show them you understand the complexities and can translate that into practical solutions.

✨Showcase Your Collaboration Skills

This role involves working with both technical and non-technical teams, so be prepared to share examples of how you've successfully collaborated in the past. Highlight your ability to balance different perspectives and drive projects forward.

✨Understand Regulatory Constraints

Since the company operates in a highly regulated environment, it’s crucial to demonstrate your awareness of governance and privacy issues related to data and AI. Bring up any relevant experiences where you navigated these challenges.

✨Prepare for Problem-Solving Questions

Expect to tackle some scenario-based questions that test your problem-solving skills. Think of specific examples where you’ve approached complex problems with a structured and pragmatic mindset, and be ready to walk them through your thought process.

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