About MR MARVIS

MR MARVIS is an Amsterdam-based menswear brand, dedicated to creating the perfect shorts, trousers and tops. As a Certified B Corporation, we’re proud to be part of a community of companies working together for change, and taking part in collective action to advocate for a shared goal of a global economy that benefits people and the planet.

What started in 2016 with three founders has now grown into a team of 300+ people representing 40+ nationalities. Having established a strong online presence across Europe, we’re now growing our international retail network. Today, you’ll find us in cities such as Amsterdam, Berlin, Paris and London.

We make slow fashion, with timeless design and craftsmanship at the centre. We are dedicated to doing better every day, creating value for our team, our suppliers, our customers, and everyone who interacts with our business.

What you’ll own

MR MARVIS is building an AI-native commerce and operating layer across the company, AI-driven discovery (GEO), customer-facing assistants (fit/size, delivery promise), decision intelligence for commercial teams, and the governance and reliability needed to scale it safely.

This role is the technical owner of AI at MR MARVIS. You report directly to the Tech Director and work as a close counterpart: you turn AI ambition into prioritized backlog based on ROI, working systems, and you make sure they are reliable, measurable, and adopted.

Technical direction for AI

Make architecture and build-vs-buy calls together with the Tech Director; evaluate models, vendors, and tooling on evidence rather than hype.
Define how AI systems integrate with our stack (Shopify, Sanity, Algolia, BigQuery, our data platform and internal APIs).

Hands-on building

Prototype fast and in the open: PoCs, agents, retrieval pipelines, evaluations, internal copilots. You write code and ship working things.
Take initiatives from prototype to production with Engineering and Data — instrumentation, evaluation, monitoring, rollback paths.
Establish a repeatable path from PoC → production, including data readiness checks, risk assessment, evaluation, and rollout.

Stakeholder leadership

Act as the single point of contact for AI across Commerce, Customer, Data, Ops, Growth, CX and People: surface the real problems, say no to the wrong ones, and sequence the rest.
Run discovery with non-technical stakeholders and translate in both directions — business outcome to technical design, and back again.
Report progress crisply to leadership through clear narratives, demos, and KPI tracking.

Reliability & governance

Own quality standards for AI in production: offline and online evaluation, quality thresholds, monitoring, incident playbooks.
Keep us safe and compliant: data classification, PII minimization, model/tool risk assessment and vendor evaluation, in partnership with Security/DPO.
No hallucinated delivery, returns, or fit promises to customers — ever.

Company-wide AI enablement

Raise the AI baseline of the whole company with the Tech Director and other engineers: education, workshops, hackathons, ambassadors, a central AI channel, and practical guardrails people actually use.
Expand AI coverage across departments through integrations and knowledge base grounding.

Outcomes we expect (first 6–12 months)

A clear, prioritized AI roadmap tied to company objectives, with an operating model behind it (intake, prioritization, visibility, ownership).
At least 2–4 AI initiatives live in production — not pilots — with adoption and KPI tracking.
A repeatable, documented playbook for taking AI work from PoC to production.
A working evaluation and monitoring foundation, so we can tell whether our AI is actually good.
Being on top of GEO implementation and follow the new guidelines to ensure MR MARVIS visibility in the AI-Commerce world

Who you are

Must-haves

Genuinely AI-native: hands-on experience with AI systems, agents, evaluation, and prompt/context engineering; used in production, not just explored.
Excellent stakeholder management: you can align teams with competing priorities, hold a position with data, and communicate crisply in writing and in exec forums.
Strong analytical mindset: you define the metric before you build, then let it change your mind.

Strong plus

E-commerce or consumer product experience (conversion, returns, CX efficiency).
Search, recommendation, or personalization systems.
Experimentation and measurement frameworks.
Experience working directly with a technical leader as a force multiplier, without needing a layer in between.

Ways of working

You are pragmatic: you ship, measure, iterate.
You go deep when it matters and resist over-engineering when it doesn’t.
You are comfortable being the most AI-fluent person in the room without being the least understandable one.

What you'll get

25 vacation days;
A pension scheme, because later is also important;
Mobility allowance in case you live outside of Amsterdam;
All equipment needed to set you up for success;
Daily free & fresh lunch served at the office;
20% discount on the entire MR MARVIS collection;
Monthly "Wellbeing budget for Swapfiets, Treatwell, or several gyms. Want to invest your budget? You can, via Peaks!
Free unlimited access to OpenUp (coaching/psychologists platform) as well as Meditation Moments (meditation App);
Personal development opportunities to help you grow and excel in your role;
Hybrid working with an inspiring office in the heart of Amsterdam;
Sabbatical after 5 years with us: enjoy some well-deserved rest;
Join a B-corp and make a real impact;
Working in a fun, international team at a fast growing scale-up;
Amazing team events and weekly Friday drinks with your colleagues.

MR MARVIS is an equal opportunity employer. We are committed to nurturing an inclusive environment for all current and potential employees. A diversity of backgrounds, cultures, and perspectives is essential in helping us maintain our momentum. So no matter where you’re from, who you love, or what you believe in, we welcome you to be your true self at MR MARVIS.

AI Enablement Lead