No information about remote work conditions has been provided for this job.
Type of contract for this position: Permanent contract
The position
Job description
This role focuses on moving beyond isolated pilots and volunteer-led activity, and building a more deliberate approach to re-engineering work through AI, automation, and better operating design
This role will lead that for Ops. It will set the direction for what an AI-native, and highly leveraged operations model should look like, help identify where the biggest opportunities sit, and create the structure that allows domain-owned use cases to turn into real outcomes
Domain leads will remain accountable for the impact delivered in their own areas. This role exists to bring the thought leadership, technical credibility, outside-in perspective, and driving force needed to help make that happen across the function
Set the AI and innovation direction for Operations, with a clear view of what will create the most meaningful step change in customer experience, productivity, quality, and scalability
Work with the domains to identify and prioritise the use cases that matter most, based on business value, feasibility, and readiness
Lead the central Ops innovation model, including the structure, ways of working, and foundations needed for domain-led re-engineering to succeed
Lead a small team of Forward Deployed AI specialists to turn ideas into real, scalable solutions
Build credibility for AI across Ops through clear thinking, practical examples, and a strong view of where the real value is and where the risks are
Stay current on the AI landscape, emerging patterns, and market developments, and translate that into practical implications for how Ops should evolve
Work with central business enablement and capability teams so that new capabilities landing across the company are connected to Ops needs, and the right upskilling happens as use cases scale
Represent Operations in central engineering, making sure that Ops priorities are well understood, well framed, and well supported
Track progress and value delivered, and keep the focus on outcomes rather than activity
What good looks like:
Ops has a clear and credible point of view on where AI should and should not be applied
The Domains have better clarity on where to focus and what will drive the biggest outcomes
High-value use cases move fast from idea to implementation
The relationship between Ops and central engineering is stronger, with clearer translation between operational needs and technical delivery
AI adoption in Ops is deliberate, practical, connected to real workflow improvement
We build scalable solutions that drive meaningful outcomes
Teams are better equipped to work differently as new tools and workflows land
Benefits
Global exchange program
Weekly happy hour
Delicious healthy lunches
Phantom share package
Yearly trip to Amsterdam
Paid holidays
Work from home opportunities
Preferred experience
The ability to turn ideas into outcomes. You can move from concept to prioritisation to implementation, and you know how to avoid getting stuck in pilot mode
Strong cross-functional instincts. You are comfortable working across operations, engineering, data, product, enablement, and capability teams
Long-term thinking. You can look beyond the next pilot or tool and help shape the foundations for where Ops needs to go over time
Deep curiosity in AI and adjacent technology. You naturally keep up with the space, understand where the market is moving, and can separate substance from hype
Enough technical depth to have credibility with engineers and technical partners. You do not need to be the hands-on builder for every solution, but you do need to understand architectures, trade-offs, risks, and what good looks like
Strong executive presence. You can command respect with senior stakeholders, challenge constructively, and represent Operations well in cross-functional discussions
A practical, creative, solution-oriented mindset
Strong operational judgement. You understand how real work happens, where friction sits, and what it takes to redesign workflows in practice
Worked closely with engineering or technical teams and can hold your own in those conversations
Worked in an environment where pace, ambiguity, and practical execution all mattered
Helped shape operating models, governance, or delivery mechanisms that made change more repeatable
Led meaningful transformation in an operations or service environment
Influenced senior leaders and moved cross-functional agendas forward without relying only on formal authority
Built or scaled AI, automation, or digital workflow improvements beyond small experiments
Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!
Recruitment process
Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days
Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role
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