At a Glance
- Tasks: Lead high-impact projects, turning client challenges into innovative product solutions.
- Company: Reputable consultancy in product and AI, focused on rapid outcomes.
- Benefits: Competitive day rate, fully remote work, and dynamic project environment.
- Other info: Opportunity for professional growth in a collaborative, high-energy setting.
- Why this job: Join a small team to make a real difference in fast-paced, exciting projects.
- Qualifications: Proven experience as a Senior Product Manager in consultancy with strong stakeholder management skills.
The predicted salary is between 44000 - 55000 £ per year.
Role: Senior Product Manager (Contract)
Industry: Product & AI Consultancy
Location: Fully Remote (UK)
Contract: 6 months (Outside IR35)
Start Date: May
Day Rate: Up to £550 a day
Team: Small, high-impact cross-functional squads
Interview Process: 3 stages
Key Focus of the Role:
This is a high-impact contract role within a well-regarded product and technology consultancy, working on rapid, outcome-driven client engagements. You’ll be embedded in small, senior squads (Product, AI, Data), leading the end-to-end discovery and shaping of pilot solutions for enterprise clients. These aren’t long delivery cycles; they’re fast-paced, high-intensity projects designed to validate real value in a matter of weeks. You’ll take ownership of turning ambiguous client problems into clear, testable product opportunities, working closely with stakeholders to map workflows, identify pain points, and guide the team towards meaningful outcomes.
Key Criteria – Please Read:
- Proven experience as a Senior Product Manager in a consultancy environment
- Strong track record delivering discovery-led, fast-paced product engagements
- Experience working on AI, data, or technically complex products
- Comfortable turning ambiguous problems into structured plans and outcomes
- Strong stakeholder management — confident leading client conversations
- Experience working in small, cross-functional teams (Product, Engineering, Data)
- Excellent communication skills with the ability to simplify complex ideas
Nice to Have:
- Experience delivering pilots, prototypes, or early-stage product validation
- Familiarity with AI-assisted tools to accelerate product workflows
- Background working on short-cycle, high-intensity client projects
Senior Product Manager in City of London employer: trg.recruitment
Contact Detail:
trg.recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Manager in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the product and AI space. Let them know you're on the lookout for opportunities, and don't hesitate to ask for introductions. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Prepare for those interviews! Since this role involves leading client conversations, practice articulating your experience with turning ambiguous problems into structured plans. Use real examples from your past roles to showcase your skills and make a lasting impression.
✨Tip Number 3
Showcase your adaptability! In fast-paced environments, being able to pivot and adjust is key. Be ready to discuss how you've successfully navigated changes in project scope or client needs in previous roles. This will highlight your ability to thrive in high-intensity projects.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can give you an edge. Plus, it shows your enthusiasm for joining our team and working on impactful projects in the product and AI consultancy space.
We think you need these skills to ace Senior Product Manager in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Product Manager. Highlight your experience in consultancy and any fast-paced projects you've led. We want to see how you’ve turned ambiguous problems into clear solutions!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of your work with AI or data products, and how you've successfully managed stakeholders in the past.
Showcase Your Communication Skills: Since excellent communication is key, make sure your application reflects this. Use clear, concise language and avoid jargon where possible. We want to see how you can simplify complex ideas, just like you would in the role!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at trg.recruitment
✨Know Your Product Management Stuff
Make sure you brush up on your product management principles, especially in a consultancy context. Be ready to discuss your past experiences with discovery-led projects and how you've turned ambiguous problems into structured plans. This will show that you understand the fast-paced nature of the role.
✨Showcase Your Stakeholder Skills
Since strong stakeholder management is key, prepare examples of how you've successfully led client conversations in the past. Think about specific instances where you identified pain points and guided teams towards meaningful outcomes. This will demonstrate your confidence and ability to communicate effectively.
✨Familiarise Yourself with AI and Data
Given the focus on AI and data products, it’s crucial to highlight any relevant experience you have in these areas. Brush up on the latest trends and tools in AI-assisted workflows, and be prepared to discuss how you've applied this knowledge in previous roles.
✨Prepare for Rapid-fire Questions
Expect the interview to be fast-paced, just like the projects you'll be working on. Practice answering questions succinctly and clearly, focusing on your thought process and decision-making. This will help you convey your ability to thrive in high-intensity environments.