Product Manager

Product Manager

Full-Time 60000 - 75000 £ / year (est.) No working from home possible
Pacific Asset Management, LLC

At a Glance

  • Tasks: Lead the development of AI-powered solutions for underwriting and claims.
  • Company: Join a dynamic InsurTech company transforming insurance with AI.
  • Benefits: Enjoy competitive salary, health insurance, and flexible working arrangements.
  • Other info: Be part of a diverse team that values work-life balance and community involvement.
  • Why this job: Make a real impact in a fast-paced environment while collaborating with top tech teams.
  • Qualifications: 3+ years in product management; experience in AI or SaaS is a plus.

The predicted salary is between 60000 - 75000 £ per year.

Role Overview: 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. AIE is focused on applying AI and machine learning technologies to solve real-world underwriting and claims challenges, including intelligent document processing, workflow automation, and decision support. This is a rapidly evolving area with strong commercial interest across multiple markets.

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.

Key Responsibilities:

  • 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.

Qualifications:

  • 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.

Why Join Us:

  • Be part of a growing AI capability that is shaping the future of underwriting and claims automation.
  • Work on impactful, real-world problems across multiple regions, alongside experienced Product, Engineering, and ML teams.
  • Join a collaborative environment with strong opportunities for learning and professional growth.
  • Competitive salary and benefits package, including health insurance, retirement plans, and flexible working arrangements.
  • Opportunity to grow within a scaling InsurTech business backed by Pacific Life Re.

If you are passionate about product management and thrive in a dynamic, fast-paced environment, we want to hear from you! Join us in our mission to transform underwriting and claims through AI - building intelligent automation that enterprise insurers trust and rely on across global markets.

About UnderwriteMe

UnderwriteMe is an Insurtech software business and subsidiary of Pacific Life Re (PL Re), a global life and pensions reinsurance firm. We have a vision to help everyone purchase protection insurance by using data and disruptive technology to transform our partners and markets in order to make their underwriting processes as quick and efficient as possible.

Our core products are:

  • Decision Platform - a B2B enterprise platform that provides a best-in-market Underwriting Rules Engine used by over 30 insurers to power their underwriting decisions. The product is sold across UK & Ireland, Asia-Pacific and North America. The platform combines our engine with technology to source and process third-party information supporting underwriting decisions for insurers. We are already working on capabilities, powered by AI, to make these decisions even more efficient.
  • Protection Platform - a B2B2C marketplace used by over 15,000 advisors to power quoting and purchase of protection products in the UK. We currently deliver 16% of the UK markets protection policies and we are already working to increase our reach.

Working for UnderwriteMe

Joining UnderwriteMe means being part of a technology company that is committed to bringing a fresh and dynamic approach to insurance. You'd be working with a team of highly technical experts made up of people with backgrounds in software, fintech, and insurance. Every person in our global team is valued for the unique qualities they bring to our business and we seek to build their expertise and support their individual ambitions at every step. Of course, we take our work seriously and we know our team can operate under great pressure. We work hard and thrive on achievement, but we also know how to have fun and relax too. We regularly host a range of team building days to strengthen our team's connection with each other and reflect on their successes. Providing employees with a healthy work-life balance is very important to our culture. We have a wide range of employee benefits and we host regular social activities and wellbeing initiatives. We are also committed to supporting our employee's involvement in their communities, by actively fundraising, hosting charity events, and overseeing volunteering opportunities.

Benefits (Only for Permanent and Fixed Term Employees)

  • 25 days of annual leave with option to buy/sell more days
  • Adoption and fertility leave
  • Generous enhanced parental leave
  • Comprehensive private insurance coverage for employee and dependents
  • Group Life Insurance coverage of 9x basic annual salary and Group Income Protection up to 75% of basic annual salary
  • Optical benefits
  • 15% combined employee/employer contributions
  • Subsidized gym membership
  • Access to Employee Assistance Program
  • Cycle to Work and Electric Car Salary Sacrifice Scheme
  • Time off for volunteering
  • Charitable matching of employee donations

You Can Be Who You Are

We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential. As part of our commitment to accessibility for all, UnderwriteMe will, upon the request of the applicant, provide accommodation during the recruitment process.

Product Manager employer: Pacific Asset Management, LLC

UnderwriteMe is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to tackle real-world challenges in the insurance sector through cutting-edge AI technology. With a strong focus on professional growth, competitive benefits, and a commitment to work-life balance, team members enjoy a supportive environment that values diversity and encourages community involvement. Join us in shaping the future of underwriting and claims automation while being part of a dynamic team that celebrates both achievement and well-being.

Pacific Asset Management, LLC

Contact Details:

Pacific Asset Management, LLC 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 researching the company and its products. Show us you’re genuinely interested in what we do, especially our AI Engine capabilities!

Tip Number 3

Practice your pitch! Be ready to explain how your experience aligns with the role of Product Manager. We want to hear how you can drive our AI initiatives forward.

Tip Number 4

Don’t forget to follow up after interviews! A quick thank-you note can keep you top of mind and show us you’re keen on joining our team.

We think you need these skills to ace Product Manager

Product Management
AI and Machine Learning
Agile Methodologies
Stakeholder Engagement
User Experience Design
Data Analysis
Communication Skills

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter for the Product Manager role. Highlight your experience with AI, machine learning, and product management, and show us how your skills align with our needs.

Showcase Your Collaboration Skills:We love teamwork! In your application, share examples of how you've worked closely with cross-functional teams. This will help us see how you can fit into our collaborative environment.

Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to articulate your experiences and achievements, making it easy for us to understand your journey and what you bring to the table.

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 the role. Plus, it’s super easy!

How to prepare for a job interview at Pacific Asset Management, LLC

Know Your Product Inside Out

Before the interview, dive deep into the AI Engine and its applications in underwriting and claims. Understand how it works, its benefits, and the challenges it addresses. This will help you articulate your thoughts clearly and show your genuine interest in the role.

Showcase Your Collaboration Skills

As a Product Manager, you'll be working closely with various teams. Prepare examples of past experiences where you've successfully collaborated with cross-functional teams, especially in Agile environments. Highlight how you ensured alignment and clarity during projects.

Prepare for Real-World Scenarios

Expect to discuss real-world problems that the AI Engine aims to solve. Think about potential use cases and how you would approach them. This shows your analytical mindset and ability to think critically about product management.

Ask Insightful Questions

At the end of the interview, have a few thoughtful questions ready. Inquire about the future roadmap of the AI Engine or how the team measures success post-launch. This demonstrates your enthusiasm for the role and your strategic thinking.