At a Glance
- Tasks: Lead product strategy and drive impactful solutions in the commercial insurance sector.
- Company: Join Broker Insights, a fast-growing leader in data analytics for commercial insurance.
- Benefits: Enjoy competitive salary, bonus options, generous holiday, and remote work flexibility.
- Other info: Be part of a diverse team that values collaboration and innovation.
- Why this job: Make a real difference in the insurance industry with innovative AI-driven solutions.
- Qualifications: 5+ years in product management with strong data and AI experience.
The predicted salary is between 72500 - 72500 £ per year.
Broker Insights | Fully remote or hybrid (Dundee) | £72,500 P. A. | Full-time, permanent
Commercial insurance does not need more data. It needs more insight.
ABOUT BROKER INSIGHTS
Broker Insights is a leading provider of data analytics and market insight for the global commercial insurance industry.
Our award-winning platform, Broker Insights VISION™, compiles and standardises commercial insurance market data, enabling brokers and insurers to develop a new way of working together.
We launched in the US in 2023 with an offering tailored to that market.
In 2026 we launched a totally re-engineered tech stack and AI Search, which will become the search engine of commercial insurance.
VISION already powers over 40% of the UK market's placement decisions.
We are ISO 27001 certified and ICO registered.
Broker Insights Ltd is authorised and regulated by the Financial Conduct Authority.
We are growing fast. This role will suit someone ambitious who takes the initiative and makes themselves a key member of the team.
THE ROLE
We are hiring a Senior Product Manager to own sets of problem areas and the sprints that resolve them, and to drive those areas towards long-term strategy and P&L growth.
You are not being handed a market or a product line to administer.
You are being handed the problems that matter most and the mandate to solve them properly.
For each area you own, you set the direction, sequence the sprints that get you there, and stay accountable for the commercial result — not just the release.
Your problem areas will span both the broker and the insurer side of the platform, and they will change as the business does.
What stays constant is the standard: every sprint you run should be traceable to a strategic objective and to a number that matters.
Our users are broker principals, market placement teams, underwriters and insurer distribution leads.
They are commercially sharp, time-poor, and they will tell you exactly when something does not work.
Your decisions show up in user engagement and in real commercial outcomes for our brokers and insurers.
- Reports to: Product Lead
- WHAT YOU WILL OWN
The strategy and roadmap for your assigned problem areas — agreed with the Product Lead, Leadership and Exec teams, defended by you, and revisited as priorities shift.
Within those areas you own the sprints end to end: what gets picked up, in what order, and what each one is expected to deliver.
You are accountable for the long‑term trajectory of those areas and their contribution to P&L growth, not simply for shipping the work.
Problem areas are drawn from across broker and insurer products and the data foundations beneath them, so expect to get up to speed on an unfamiliar area quickly and to hand work back cleanly once it has landed.
WHAT YOU WILL DO
- Strategy for your areas
- Identify high-impact opportunities through data analysis, market intelligence and customer insights.
- Own the strategy and roadmap for the problem areas assigned to you, and defend the trade-offs to the exec team, to customers and to your engineers.
- Set a multi-quarter view for each area — where it needs to get to, and the sequence of sprints that will take it there.
- Shape and evolve the plan honestly when priorities or evidence change, rather than defending a roadmap past its usefulness.
- Act as a thought leader in AI, machine learning, agentic systems and analytics trends, embedding this into product direction and helping the business understand where autonomous AI creates step-change value and where human oversight is essential.
- Framing the problem, understanding the customer and market intelligence
- Act as the voice of the customer internally, using qualitative and quantitative research to uncover needs and pain points.
- Sharpen each problem before any solution is discussed. What is actually wrong, for whom, and what is it costing us?
- Size it with real numbers — market coverage, placement volume, retention risk, cost to serve — and push back when a problem does not stand up against the alternatives.
- Get in front of brokers and insurers regularly. Turn what you hear into evidenced problem statements, not feature requests.
- Work hypothesis-first. State what you expect to happen, validate it against data, and design the experiment that will prove or disprove it.
- Running the sprints
- Work day to day with engineering, data science and commercial as a single team. Write clear specs, define acceptance criteria, and stay close through delivery.
- Partner with data science and engineering to spot where AI and machine learning genuinely improve the product, then design those capabilities so the output is explainable and trusted.
- Translate data collection and processing into visualisation and actionable insight — the value lands with the user, not in the pipeline.
- Apply a strong understanding of UX, scalability and platform performance considerations.
- Scope to what can ship inside the sprint. Cut early and cut visibly rather than letting a sprint run long.
- Hold a high bar on data quality and matching accuracy — in our market, a wrong match costs more than a missing feature.
- Move confidently between broker-side and insurer-side problems, and be honest about what you do not yet know about an unfamiliar area.
- Landing the outcome
- Define the success metric before the sprint starts and report against it afterwards. Adoption, not delivery, is the finish line.
- Partner with sales, customer success and marketing on release: positioning, enablement, and a tiered rollout that suits the audience and the size of the change.
- Hand work back cleanly — documented, instrumented, and owned by someone — so nothing you touch becomes orphaned.
- Support key customer and insurer conversations where product credibility moves the deal.
- Influence
- Set the standard for how product work is done here — discovery, written thinking, decision records, metrics.
- Mentor and support the other product managers in the team, and raise the quality of the craft across it.
- Manage stakeholders across data science, engineering, commercial and exec, and keep them aligned on what you are solving and why.
- Represent product in exec-level discussions with a clear, evidenced point of view.
- WHAT YOU WILL BRING
- [5]+ years in product management, including [2]+ years at senior level owning strategy and roadmap for a significant area, with accountability for a commercial number.
- Deep experience managing data products, with a strong background in AI, machine learning and analytics.
- A track record of shipping B2B Saa S features that customers actually adopt — with numbers you can talk through.
- Proven analytical skills and demonstrable success with data-validated, hypothesis-driven, experiment-tested decisions.
- Evidence of working across several product areas rather than one, and getting productive in an unfamiliar domain quickly.
- Strong data literacy. You can interrogate a dataset, write or read a query, spot a suspect number, and work fluently with data engineers and data scientists.
- Excellent stakeholder management. You can hold a room of data scientists, engineers and commercial leads to a single agreed direction.
- Discipline with scope. You can take a vague problem, cut it to something shippable in a sprint, and say no to the rest.
- Excellent written communication. You think in documents, and your specs leave no room for interpretation.
- Comfort operating with ambiguity and with senior stakeholders who disagree with each other.
- A solutions-oriented approach, deep curiosity about customer needs, and a genuine growth mindset.
- Commercial insurance, broking, MGA or insurtech experience, or another regulated data-heavy market such as financial services or healthcare.
- Experience with data quality, entity matching, or data enrichment products.
- Experience of taking AI or machine learning capabilities from concept through to a product users trust.
- Familiarity with UK financial services regulation and its practical effect on product decisions.
- Experience of scale-up environments where the process is something you help build.
WHAT WE OFFER
- Bonus and equity: EMI Options Scheme available, and eligibility for the company bonus plan
- Pension: 5% matched company pension contributions
- Holiday: 34 days holiday leave, plus your birthday off
- Sick leave: 14 days company sick leave
- Parental leave: Up to 13 weeks at full pay
- Wellbeing: Holistic Employee Wellbeing Framework and a fully funded Employee Assistance Programme for you and your family
- Working pattern: Fully remote, or hybrid from our offices in the Waters' Edge building in Dundee, with some travel to team days, on‑sites and customer meetings
- DIVERSITY AND INCLUSION AT BROKER INSIGHTS
We are passionate about diversity and believe our differences make us stronger as a team.
Our inclusive culture is founded on a belief that our people will always be our biggest asset, and that a collaborative environment where everyone has a voice will always deliver the best results.
We welcome the unique contributions our employees bring. Different professional and social life experiences add to our collective knowledge and help drive innovation.
- HIRING PROCESS
- 1. Introductory call with the Product Lead — 15 minutes
- 2. Product craft interview with the Product Lead — 60 minutes
- 3. Practical exercise and discussion with product, engineering and data — 30 minutes
- 4. Final conversation with Peter Scott, CEO — 30 minutes
- BETTER DATA | BETTER INSIGHTS | BETTER BUSINESS
- #J-18808-Ljbffr
Senior Product Manager in Dundee employer: The Marketing Meetup Ltd
As a Managing Partner in eCommerce at our global media network, you will thrive in a dynamic and inclusive work culture that prioritises innovation and collaboration. With a focus on employee growth, we offer extensive professional development opportunities and the chance to lead high-profile projects across Europe and North America, all while enjoying the flexibility of a hybrid working model in vibrant London. Join us to make a significant impact in the digital commerce landscape and be part of a team that values your expertise and vision.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Manager in Dundee
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like The Marketing Meetup Ltd!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at The Marketing Meetup Ltd would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at The Marketing Meetup Ltd through your school's career services!
We think you need these skills to ace Senior Product Manager in Dundee
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Senior Product Manager, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Senior Product Manager position at The Marketing Meetup Ltd. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at The Marketing Meetup Ltd
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
