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- Tasks: Drive the evolution of our data platform and manage impactful internal data projects.
- Company: Join a leading AI-driven company transforming paid search and ads.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI and machine learning, making a real difference.
- Qualifications: 5-10 years in data roles, with strong technical knowledge and communication skills.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 48000 - 72000 £ per year.
Product Manager – Data & Data Science
Remote (UK)
Up to £90,000 + Benefits
About the Company
Our client is an award-winning search intelligence platform that helps global brands, marketers, and agencies gain an unparalleled understanding of the paid search landscape. Powered by patented AI technology, they enable clients to optimise spend, increase ROI, and stay ahead of the competition.
Trusted by leading global brands and backed by a top-tier growth partner, they’ve been redefining search intelligence for over a decade. In 2024, they secured multiple industry awards including Best AI Search Software Solution, Best Use of AI for Data, and Best PPC Management Software Suite.
You’ll be joining a business that combines the maturity and stability of an established company with the agility, autonomy, and growth potential of a fast-scaling tech organisation. They pride themselves on a strong, people-first culture with a 93% approval rating and high employee satisfaction.
About the Role
You’ll join the Product function, working alongside leading AI and data specialists. The team is focused on delivering innovative, data-driven products that make a measurable difference to customers and the business.
As the Product Manager for the Data & Data Science team, you’ll own the data platform roadmap and backlog – driving strategy, performance, and innovation across distributed data systems, ETL pipelines, and data science capabilities.
Key Responsibilities
- Define and lead the vision and strategy for data products and services, ensuring alignment with business goals.
- Manage the backlog for data engineering and data science teams, prioritising initiatives that enhance performance, scalability, and cost efficiency.
- Translate complex data and AI requirements into clear, actionable product stories.
- Partner closely with engineering, data science, and design to deliver high-quality data features and platform improvements.
- Champion a user-centric approach by collaborating with internal stakeholders to understand their needs and drive data-led decision making.
- Define and track KPIs to measure the success and impact of data product initiatives.
- Stay ahead of market trends in data engineering, big data, and AI — ensuring the product remains at the forefront of innovation.
What We’re Looking For
- Experience as a Product Manager, Product Owner, Data Engineer, Data Scientist, or Senior Data Analyst.
- Proven experience managing or contributing to data platform or data science roadmaps.
- Strong understanding of ETL processes, data pipelines, and data infrastructure.
- Working knowledge of agile methodologies (Scrum, Kanban) and tools such as Jira.
- Ability to translate technical concepts into commercial impact.
- Experience with SQL, Python, and APIs.
- Understanding of market research, business case creation, and KPI setting.
- Familiarity with GenAI tools and modern data workflows.
Bonus Points
- Experience working with AWS or GCP.
- Exposure to high-volume data platforms in AdTech or MarTech environments.
Data Product Manager employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Product Manager
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in data roles. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your experience with data platforms and ML workflows. This will give you an edge and show potential employers that you can walk the talk.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with data pipelines and predictive models. We recommend practising common interview questions related to data product management.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Product Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Product Manager role. Highlight your experience in data roles, especially in Data Engineering or Data Science, and don’t forget to showcase your technical knowledge of large-scale data platforms.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our team. Mention specific projects where you've driven data initiatives and how they relate to the responsibilities outlined in the job description.
Showcase Your Communication Skills: Since this role involves collaborating with various teams, it’s crucial to demonstrate your ability to communicate complex technical concepts clearly. Use examples from your past experiences where you successfully translated technical jargon for non-technical stakeholders.
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 shows you’re keen on joining our awesome team!
How to prepare for a job interview at Harnham
✨Know Your Data Inside Out
As a Data Product Manager, you need to be well-versed in data platforms and machine learning workflows. Brush up on your technical knowledge and be ready to discuss specific projects you've worked on that demonstrate your expertise in managing data quality and performance.
✨Showcase Your Collaboration Skills
This role requires close collaboration with Data Engineering and Data Science teams. Prepare examples of how you've successfully worked with cross-functional teams in the past, highlighting your ability to communicate complex technical concepts to non-technical stakeholders.
✨Demonstrate Your Product Ownership Mindset
Be ready to discuss your approach to owning a product roadmap. Share experiences where you've defined a vision for a data platform or led internal data projects that had a significant customer impact. This will show that you have the right mindset for the role.
✨Prepare for Technical Questions
Expect to face technical questions related to large-scale data platforms and predictive ML models. Brush up on relevant concepts and be prepared to explain how you've applied them in real-world scenarios. This will help you stand out as a technically strong candidate.