AI Enablement Lead

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.

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 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, Big Query, 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…