Product Manager

Product Manager

Bachelor 50000 - 60000 £ / year (est.) Home office (partial)
UnderwriteMe

At a Glance

  • Tasks: Lead the development of AI-powered capabilities and manage product lifecycle activities.
  • Company: Dynamic tech company focused on innovative AI solutions.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career advancement.
  • Why this job: Be at the forefront of AI technology and make a real impact in the industry.
  • Qualifications: 3+ years in product management with strong communication and analytical skills.

The predicted salary is between 50000 - 60000 £ per year.

Requirements

  • Bachelor's degree or equivalent experience in a technical or business discipline; MBA or advanced degree is a plus
  • 3+ years in product management, preferably in a SaaS or API platform context
  • Experience with B2B enterprise software or data platform products; domain knowledge in insurance or health-tech is a bonus
  • Excellent communication and interpersonal skills – you can clearly articulate product requirements, collaborate effectively across teams, and keep stakeholders aligned throughout delivery.
  • Comfortable working closely with technical teams including engineers and software architects
  • Analytical mindset with the ability to understand trade-offs, prioritise effectively, and solve problems collaboratively
  • Experience working in Agile environments and familiarity with tools such as Jira and Confluence
  • Experience working on AI, machine learning, automation, or data-driven products

What the job involves

  • We are looking for a motivated and collaborative Product Manager to own the ongoing development and delivery of our AI Engine (AIE) capability on the Decision Platform.
  • In this role, you will own and drive AI-powered capabilities end-to-end — from discovery through to client-facing beta programmes and GA release.
  • You will work closely with Product, Engineering, ML, Delivery, Design and Commercial teams, while also leading direct client engagement.
  • This role reports into the Lead Product Manager, who owns longer-term AIE strategy and roadmap development.
  • You will be heavily involved in the day-to-day execution of the product lifecycle, ensuring the team remains aligned, requirements are clearly understood, and delivery continues moving forward effectively.
  • This role is ideal for someone who enjoys being close to the detail, collaborating across teams, and helping turn complex ideas into scalable product capabilities.
  • Own the day-to-day product management activities for AI Engine initiatives across underwriting and claims use cases across multiple markets.
  • Work closely with Engineering, Data, and Delivery teams during stand‑ups, refinements, sprint ceremonies, and collaborative working sessions to ensure clarity and alignment.
  • Manage beta programmes end-to-end, including defining scope, coordinating client testers, tracking outcomes, and using learnings to inform GA readiness.
  • Conduct customer and partner discovery; participate in customer and stakeholder discussions to help gather feedback, understand pain points, and identify opportunities for improvement.
  • Collaborate with Product Designers and technical teams to define intuitive and scalable user experiences for AI-driven workflows.
  • Write and maintain clear product documentation including PRDs, feature requirements, user stories, and supporting implementation materials.
  • Drive the near‑term AIE roadmap — defining priorities in alignment with broader product and commercial objectives, managing the backlog, and communicating delivery direction clearly across product, commercial, and technical teams.
  • Work closely with cross‑functional stakeholders including Sales, Customer Success, and other Product Managers to ensure product developments meet operational and client needs.
  • Support post-launch feedback collection and product iteration to continuously improve usability, performance, and customer value.

Product Manager employer: UnderwriteMe

As a leading innovator in the AI and data-driven product space, we pride ourselves on fostering a collaborative and inclusive work culture that empowers our employees to thrive. Our Product Manager role offers not only competitive benefits and opportunities for professional growth but also the chance to work at the forefront of technology in a dynamic environment. Join us in shaping the future of enterprise software while enjoying a supportive atmosphere that values your contributions and encourages continuous learning.

UnderwriteMe

Contact Details:

UnderwriteMe Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Product Manager

Tip Number 1

Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.

Tip Number 2

Prepare for interviews by practising common questions and scenarios related to product management. We recommend role-playing with a friend to boost your confidence and refine your answers.

Tip Number 3

Showcase your skills through real-life examples. When discussing your experience, highlight specific projects where you drove results, especially in AI or SaaS contexts. This will make you stand out!

Tip Number 4

Don’t forget to follow up after interviews! A quick thank-you email can keep you top of mind and show your enthusiasm for the role. Plus, it’s a great chance to reiterate why you’re the perfect fit.

We think you need these skills to ace Product Manager

Product Management
SaaS
API Platforms
B2B Enterprise Software
Communication Skills
Interpersonal Skills
Agile Methodologies

Some tips for your application 🫡

Show Off Your Experience:Make sure to highlight your experience in product management, especially in SaaS or API platforms. We want to see how your background aligns with our needs, so don’t hold back on those relevant projects!

Communicate Clearly:Since excellent communication is key for this role, ensure your application reflects that. Use clear and concise language to articulate your skills and experiences, just like you would when collaborating with teams.

Tailor Your Application:Take the time to tailor your application to our job description. Mention specific experiences related to AI, machine learning, or data-driven products, as these are super relevant to what we’re looking for.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and keep everything organised, so don’t miss out on that!

How to prepare for a job interview at UnderwriteMe

Know Your Product Inside Out

Before the interview, make sure you thoroughly understand the company's AI Engine and its role within the Decision Platform. Familiarise yourself with the product's features, benefits, and how it addresses client needs. This will help you articulate your thoughts clearly and demonstrate your genuine interest in the role.

Showcase Your Collaboration Skills

Since the role involves working closely with various teams, be prepared to discuss your experience in cross-functional collaboration. Share specific examples of how you've successfully worked with engineers, designers, and stakeholders to drive product development. Highlight your communication style and how you keep everyone aligned.

Prepare for Technical Discussions

Given the technical nature of the position, brush up on relevant concepts related to AI, machine learning, and data-driven products. Be ready to discuss how you've approached technical challenges in the past and how you can bridge the gap between technical teams and business objectives.

Demonstrate Your Analytical Mindset

The interviewers will likely want to see how you approach problem-solving and prioritisation. Prepare to discuss a time when you had to make trade-offs in product management. Use the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your analytical skills effectively.