Senior Product Engineer, Ai & Data | Digital Pills
Pubblicato il 09-10-2026 - Welyk in Piemonte
Way of working: hybrid, office in Turin (city centre), around 8 days per month on site, managed flexiblySe pensa di essere il profilo ideale per la seguente occasione, si candidi dopo aver letto la descrizione completa.Key tech skills: Python and/or TypeScript, system design, GCP, IaC, LLM engineering (RAG, agents, evaluation), data warehousesExperience: at least 8 years as a software, backend or product engineer, with product experienceGross annual salary: €70,000 - €75,000 + welfareAbout the companyWelyk is recruiting on behalf of Digital Pills, a consulting company focused exclusively on data, based in Turin with around 30 people. The company covers the entire data value chain: data strategy, data engineering, analytics engineering, BI and data science, and over the last two years it has significantly strengthened its AI practice. It works with large international clients (including HelloFresh, Airalo and Last Minute) and Italian enterprise brands, and is pursuing an international expansion. It also dedicates a significant part of its activity to the non-profit sector, including pro bono projects for organisations such as AIRC and Save the Children.Digital Pills recently received an investment from RIF-T, a vehicle controlled by Equiter and funded by Fondazione Compagnia di San Paolo, to support its scale‑up phase. With this investment the company is moving from a 100% consulting model, where every project is built from scratch, to a scalable model based on proprietary products and accelerators: reusable components across different clients that reduce project variability and enable new sales models, such as pay per use. Part of this work already exists (for example, a proprietary framework for data integration projects). This position was created to lead the transition full time: it is a role entirely dedicated to R&D and productization, not staffed on client projects.What you'll doBuild products and accelerators yourself, from architecture to deployment and maintenance, taking an idea to a first working version even without a development teamReview the projects the company sells and starts, together with the CTO and the tech leaders, to understand what is already reusable,
which new assets could emerge and what limits their replicabilityDefine and drive the roadmap of products and accelerators, deciding with the CTO what to build and what not to build, based on replicability and a simple business case (delivery time saved, margin, number of projects it applies to)Integrate generative AI and LLMs into production applications, going beyond the demo towards reliable, observable and maintainable systemsOwn the cloud and infrastructure of the products you build (GCP or equivalent, CI/CD, IaC, observability, security) and set their engineering practicesSupport the CTO and client managers in pre-sales with architectures, estimates and an assessment of the replicability potential, contributing to the shift from selling days to value-based and pay-per-use modelsOnce a product is mature enough, hand it over to a dedicated team and move on to the next oneRequirementsAt least 8 years of experience as a software, backend or product engineer, with real ownership of production systemsProduct experience: you have built products, accelerators or internal tools that were actually adopted, and you contributed to deciding what to build, not only to building itPython and/or TypeScript/JavaScript at a senior level, API design and backend development (REST, event-driven architectures), authentication and authorization, asynchronous jobs and queuesRelational and document databases, advanced SQL, data warehouses (BigQuery, Snowflake, Redshift or similar), ETL/ELT conceptsCloud (GCP preferred, AWS or Azure are fine), Docker, CI/CD (GitHub Actions, GitLab CI, Cloud Build), Infrastructure as Code (Terraform, Pulumi)LLM engineering: LLM APIs and prompt engineering, RAG, vector stores, agentic workflows, evaluation and observability of LLM systems,
agent protocols (MCP or similar)Fluent Italian and C1 EnglishNice to haveExperience in consulting or professional services, or familiarity with its dynamics: project scope, estimates, days, budgets, marginsProduct management or productization experienceFamiliarity with the marketing and customer data stack (behavioural data, CDPs, ad platform data) and with customer-journey data modelling for acquisition and retentionExperience with international stakeholders and availability for occasional trips to Berlin (roughly one week per quarter)You're the right person ifYou come from the product world, you like getting your hands dirty with code and you prefer building and experimenting to managing a team. You are a senior individual contributor who can frame an ambiguous problem, make important technical decisions without waiting for someone else to make them, and explain trade-offs rather than imposing a favourite technology. You know when a prototype is enough, and you can turn a successful experiment into software that people actually use. You have an eye for business: you're curious about how a project is sold and where the margin lies, and you're motivated by the idea of changing the way a company works and sells. xysqume You adapt well to a consulting environment, where colleagues work in client-driven sprints, and you want to be the ambassador of a product mindset within it.What the company offersGross annual salary of €70,000 - €75,000 based on experience€2,500/year company welfare and meal vouchers of €8 per dayCCNL Metalmeccanico Industria (Italian national collective agreement), 13 monthly salariesHybrid model, with around 8 days per month in the Turin office (city centre), managed flexiblyA role 100% dedicated to R&D and productization, reporting directly to the CTO, with the impact of leading the company's transformationAn international context, with large clients in Italy and abroad and an ongoing international expansionL'annuncio è rivolto a candidati di entrambi i sessi, nel rispetto del D.Lgs. 198/2006 e s.M.I., e a persone di ogni età, nazionalità, orientamento sessuale, identità di genere e appartenenza etnica, nel rispetto dei principi di non discriminazione e pari opportunità.#J-18808-Ljbffr