Responsibilities

Design and implement agentic AI systems to automate core finance operations such as financial close, consolidations, variance analysis, reporting, and on-demand analytics.
Create orchestrated multi-agent architectures—planner, retriever, executor, reviewer—with safeguards, evaluation mechanisms, and human oversight points.
Discover high-impact automation opportunities across the finance function and convert them into technical blueprints, prototypes, and scalable implementation plans.
Set internal standards for prompt engineering, tool integration, retrieval-augmented generation (RAG), memory systems, and agent observability to ensure system reliability.
Collaborate with Engineering, IT, and Security teams to deploy AI agents securely, addressing identity, access controls, secrets management, logging, and change governance.
Develop machine learning models for forecasting revenue, expenses, cash flow, and business drivers, including scenario modeling and anomaly detection.
Lead the shift from spreadsheet-based forecasting to advanced predictive and probabilistic methods using time-series, hierarchical, and causal modeling.
Integrate AI-generated insights and narratives into financial planning and analysis workflows, working closely with FP&A leaders to ensure usability and trust.
Implement backtesting, model monitoring, drift detection, and performance metrics to maintain model accuracy and credibility over time.
Promote a culture of experimentation by defining hypotheses, running controlled pilots, and measuring improvements in forecast quality, cycle time, and decision-making.
Act as the top technical AI authority within finance, guiding technical direction, reviewing system designs, and elevating engineering standards.
Deliver hands-on prototypes and reference implementations to validate new concepts and accelerate adoption by partner teams.
Train and support finance analysts, FP&A colleagues, and engineering teams on AI/ML fundamentals, design patterns, and ethical use principles.
Represent finance in enterprise AI governance discussions, contributing to company-wide AI strategy, standards, and shared platform capabilities.
Enforce responsible AI practices in finance, including model risk management, fairness assessments, explainability, and human-in-the-loop controls.
Develop evaluation frameworks and acceptance criteria for AI outputs used in financial reporting and decision-making contexts.
Maintain a centralized inventory of all finance AI use cases, models, and agents, including ownership, data lineage, controls, and review schedules.
Monitor evolving AI regulations and financial industry standards, translating them into actionable internal policies and compliance measures.
Stay current with advancements in foundation models, agent frameworks, ML tooling, and the broader AI landscape in finance.
Conduct structured proofs of concept and pilot projects to assess emerging technologies and inform production roadmaps.
Curate a portfolio of high-impact AI initiatives for finance, balancing quick wins with strategic, long-term investments.

Work Arrangement

Hybrid — Milan, Madrid

WHO WE ARE

We’re a team of 450 people (and counting!), from 30 different nationalities. We’re on a mission to innovate, and we believe the key to that is seeing the world through a variety of perspectives. That’s why building a more diverse team, as well as bringing in even more talent, is so important for us.

TO FEEL AT HOME

Progress Over Perfection: We move forward. Always. In a fast-moving world, speed with purpose beats certainty without action. Momentum matters—not for its own sake, but because it drives results.
Clarity Through Transparency: We bring each other along. We work in teams, not silos. Transparency gives context, and context enables action. That means we share decisions early, publish work in progress, and document outcomes so others can learn, move faster, and build better.
Learn Loudly: We grow by doing and by daring. Big bets unlock big breakthroughs. But real innovation demands risk, and risk always carries the possibility of failure. That’s not a flaw. It’s the price of ambition.
Challenge with Empathy: We speak up, even when it’s hard—because candor shows care, and leads to better outcomes. Listening deeply is how we grow. Disagreeing openly is how we build trust.
Always Build Better: We are builders—of products, systems, and ideas. But more than that, we are builders of better. Better has no finish line. It’s a mindset.

Data Privacy Notice

If you choose to apply for this specific job position and submit your application, which may include personal data such as your identifying details, contact information, curriculum vitae, cover letter, professional qualifications, and/or employment history, please be informed that your data may be shared with our Affiliates*, including Offerista Group GmbH and Flipp Operations Inc. The aforementioned entities will act as joint controllers for the limited purpose of intra-group sharing related to the evaluation of candidates’ applications. This means that your data may be processed by the Affiliate to assess your application and, if deemed suitable, to contact you regarding potential employment opportunities. However, please note that from the moment an Affiliate initiates direct contact with you and engages in any further processing of your personal data beyond the initial intra-group sharing for evaluation purposes, such Affiliate shall act as an independent data controller. In such cases, the processing of your personal data will be subject to the specific privacy policies that can be found here. * Affiliates shall mean any entity that directly or indirectly controls, is controlled by or is under common control with ShopFully SpA and its Affiliates’ subsidiaries, meaning any entity which is directly or indirectly controlled by the Affiliates.

Other

Resumes/CVs must be submitted in English as it is the primary business language across teams and regions.
The company values diversity and encourages applications from candidates who may not meet every single requirement but are excited and willing to grow into the role.
Access to learning opportunities and regular feedback sessions.
The company provides all necessary equipment to work effectively and set up a workspace, wherever the employee is located.
Benefit from additional country-specific advantages based on local contracts and practices.