At a Glance
- Tasks: Own the data platform and ML ecosystem, driving product strategy and collaboration.
- Company: Leading AI-driven search intelligence company with a focus on innovation.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Other info: Join a collaborative team that values transparency and smart execution.
- Why this job: Make a real impact on AI products used by top global brands.
- Qualifications: 5-10 years experience in data engineering or science, with strong product management skills.
The predicted salary is between 72000 - 120000 £ per year.
Data Product Manager - AI / ML Platform (Fully Remote, UK)
Salary: £100,000 + benefits
Location: Fully Remote (occasional meet-ups in London)
Type: Permanent | Individual Contributor
We\'re partnering with a market-leading AI-driven search intelligence company helping global enterprise brands optimise paid search performance and gain competitive insight through large-scale data and machine learning.
As a Data Product Manager, you\'ll take ownership of the company\'s data platform and ML ecosystem - shaping how massive-scale datasets (hundreds of millions of data points) power predictive models, data quality, and AI-driven insights.
The Opportunity
You\'ll drive the roadmap and vision for a modern data platform underpinning core AI products, collaborating closely with data engineering and data science teams. This is a hands-on product role - ideal for someone who thrives at the intersection of data, ML, and product strategy.
Focus areas:
Data integrity, scalability, and cost efficiency
Managing complex data workflows and ML pipelines
Ensuring model quality and performance
Partnering cross-functionally across engineering, science, and product
Tech Stack: Spark, Cassandra, Redshift
AI / ML Use Cases: Predictive click models, data quality optimization, GenAI search applications
What You\'ll Bring
5-10 years\' experience overall, with 3+ years in data engineering or data science
Proven experience managing large-scale data platforms or pipelines
Strong understanding of ML workflows and data architecture
Product mindset - comfortable owning discovery, roadmaps, and delivery
Excellent communicator - able to present technical concepts clearly to non-technical audiences
Experience in SaaS, digital, or tech product environments
(Please note: This role is not suited to project managers or senior people managers - it\'s a highly collaborative IC role.)
You\'ll join a collaborative, data-focused product team that values ownership, transparency, and smart execution. You\'ll have a genuine opportunity to influence the evolution of an AI platform used by leading brands worldwide.
Next Steps:
If you\'re a technically credible Product Manager passionate about data and ML - and ready to own a data platform roadmap in a high-impact environment - we\'d love to hear from you.
Data Product Manager - AI and ML in Coventry employer: Harnham
As a Data Product Manager at our innovative AI-driven search intelligence company, you'll be part of a dynamic and collaborative team that prioritises ownership and transparency. Enjoy the flexibility of fully remote work while contributing to cutting-edge projects that shape the future of data and machine learning for global brands. With ample opportunities for professional growth and a culture that values smart execution, this role offers a meaningful and rewarding career path in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Manager - AI and ML in Coventry
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Harnham.
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We think you need these skills to ace Data Product Manager - AI and ML in Coventry
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Harnham, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Harnham. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Harnham
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
