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Day 21
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From 51 similar postings that came down. Coming down is not always a hire.
You will work hand in hand with our Senior Director, Data Product.
Build a library of real use cases, case studies and representative client scenarios that shapes product decisions and equips our commercial teams.
Collaborate closely with Data Product and Engineering to turn client evidence into the roadmap and into real improvements, not just recommendations.
A large part of your time will be spent with clients: understanding their workflows and what they are trying to achieve, seeing how Mintel actually shows up in their work, and removing the obstacles that stand between them and the value. The rest is turning what you learn into what we return. Our engineers own the integration’s code; you own what it should return. You will work hand in hand with our Senior Director, Data Product. Together you decide what is on offer: she owns whether the data is ready and reliable; you own how it works from the client’s side and whether it achieves their goal. Neither ships without the other. You will also work daily with our engineers, architects and product managers. This is a senior individual-contributor role. It carries no team. It is principal-level because the work has to move engineers, product managers and the data team without authority over any of them.
Decide what we standardise and what we tailor: find the patterns that work for many clients and recognise when an individual client genuinely needs something different. Build a library of real use cases, case studies and representative client scenarios that shapes product decisions and equips our commercial teams. Shape the integration experience
Set the standard for a good integration experience and review new Mintel capabilities against it, so integration is part of discovery rather than an afterthought. Collaborate closely with Data Product and Engineering to turn client evidence into the roadmap and into real improvements, not just recommendations. Evaluate and improve
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Day 21
Similar jobs usually come down between day 4 and day 77.
From 51 similar postings that came down. Coming down is not always a hire.
2 open jobs
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New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Mintel is the world’s leading market intelligence agency. Increasingly, our clients don’t come to Mintel; Mintel goes to them. They use our research and data inside their own systems — through AI assistants and agents, APIs, data feeds, dashboards and internal research tools — and combine it with their own business data and third-party data. Clients who work this way stay with us longer and get more from us, and the integrations that make it possible are already live.
This is the next frontier for Mintel, and we are hiring someone to make it excellent. You will understand how clients integrate Mintel into their own ecosystems and make sure what we deliver doesn’t just work, but fits the way they actually work: from the question a client asks in their own tool, through what Mintel returns, to what they do with the answer next.
This is not a traditional product or UX role. Mintel does not own the end user experience in an integration; our clients do. What we own is what we send: how our content, data and capabilities are structured, described and delivered so they are usable, trustworthy and recognisably Mintel in environments we don’t control.
A large part of your time will be spent with clients: understanding their workflows and what they are trying to achieve, seeing how Mintel actually shows up in their work, and removing the obstacles that stand between them and the value. The rest is turning what you learn into what we return. Our engineers own the integration’s code; you own what it should return.
You will work hand in hand with our Senior Director, Data Product. Together you decide what is on offer: she owns whether the data is ready and reliable; you own how it works from the client’s side and whether it achieves their goal. Neither ships without the other. You will also work daily with our engineers, architects and product managers.
This is a senior individual-contributor role. It carries no team. It is principal-level because the work has to move engineers, product managers and the data team without authority over any of them.
What you’ll do
Understand clients and what they are really trying to achieve
Shape the integration experience
Evaluate and improve
Develop best practice and enablement
What we’re looking for
This role combines client discovery, product thinking, information design and technical fluency. We are specifically looking for a mix of experience across technical solution consulting, API-first or integration products, and AI-assisted or data-rich products, in whatever combination you have built it. Few people have all of it from one job; most of the people we want have crossed at least one boundary.
You will need:
It helps if you have:
Before you apply, four things to know:
What you'll get in return:
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London
What you'll get in return: - A culture that supports true collaboration whilst embracing remote working with a company wide hybrid working week. - Approach to personal development where we encourage individuals to grow and share what they’ve learned.
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