Pamela Gotti

I define and drive the company's technology strategy, product architecture, and AI roadmap — building the technical foundation for Volta Software, an intelligent automation platform transforming how distributors, B2B brands, and wholesalers manage their commercial operations. Our mission: simplify, unify, and automate the complexity of B2B commerce through artificial intelligence. Volta automates the collection, analysis, and processing of orders from every channel (email, PDF, EDI, WhatsApp, and more), centralizes pricing, catalog, and inventory management, and equips sales teams with intelligent recommendations and enhanced selling tools to accelerate deals, improve margins, and strengthen customer relationships. The result: up to 90% of manual tasks eliminated, +1YO0% average sales growth, and teams that reclaim time for what truly matters: their customers. Founded in 2024 between Paris and Milan, Volta has raised €11M from leading international funds, including RTP Global (investor in Qonto, SumUp, Datadog), Emblem (investor in Lovable), Vento by Exor, Founders Future, Robin Capital, Ithaca, B Heroes, Pareto, Firedrop, Seven Investments, Sequoia and a16z scouts, and 40+ European business angels. Our ambition: build the European champion of B2B automation — a technology that is sovereign, powerful, and deeply human.

I teach Python for Business within the Executive Master in Business Analytics and Data Science, working with experienced professionals and future business leaders. My role focuses on helping non-technical and hybrid profiles develop data-driven and computational thinking, understand how software and AI shape business models and decision-making and bridge the gap between technology, analytics, and business strategy. Through a highly practical approach, I translate complex technical concepts into tools that managers can effectively use to design better products, improve processes, and make informed decisions in technology-driven organizations. https://www.bbs.unibo.eu/master-executive/business-analytics-and-data-science/ https://www.bbs.unibo.eu/faculty/pamela-gotti/

I lead the engineering, data, and platform teams, defining and executing the digitalization strategy of the bank following the acquisition of Credimi. My role focuses on transforming the bank’s operating model through technology, with a strong emphasis on: building scalable digital products, modernizing internal processes and leveraging AI (both generative and machine learning) to increase efficiency, quality, and speed across the organization. I work closely with governance, compliance, and risk functions to ensure that technology platforms, data processes, and AI adoption are fully aligned with regulatory requirements, including Bank of Italy guidelines and the broader regulatory framework applicable to financial institutions. I work closely with executive leadership to ensure that technology is a strategic enabler of business outcomes, not just a delivery function, aligning architecture, data, and team structure with the bank’s long-term goals.

As CTO, I set the strategic direction for technology and engineering, enabling the company to deliver financial products at scale while supporting sustained business growth. I led the evolution of the engineering organization (20 people), transforming it from a horizontal, function-based structure into cross-functional teams with full ownership, guided by a you build it, you own it philosophy. A key part of my role was leading the technology workstream of the M&A process with Banca CF+, owning the technical assessment, integration planning, and execution. This included aligning architectures, data platforms, security standards, and engineering processes to enable a smooth transition into a regulated banking environment. Key impact areas: * Defined and evolved the system architecture to support scale, reliability, and regulatory readiness * Built a strong engineering culture centered on developer experience, accountability, and product ownership * Designed career paths, OKRs, and onboarding processes, significantly reducing time-to-productivity for new hires * Introduced measurable developer experience practices using the SPACE framework, including onboarding paths that enabled new engineers to ship to production within days At leadership level, I partnered with the rest of the C-suite to define product success KPIs and introduced internal tools, including no-code solutions such as Retool, to empower non-technical teams and improve operational efficiency.

I was the first engineer at Credimi and worked closely with the CTO to design and build the company’s technical foundation from scratch, supporting the growth of the platform from early stages to a scalable production system. My work focused on backend development and system architecture, with particular attention to long-term scalability and maintainability in a high-growth fintech environment. I contributed to defining both the technical architecture and the engineering practices adopted by the team. Key contributions included: * Designing event-driven microservices architectures using CQRS * Introducing Domain-Driven Design and Event Storming as shared design tools * Leading the adoption of GraphQL, coordinating the migration from REST APIs * Working extensively with Scala, containerized workloads, and cloud-native infrastructure (Docker, Kubernetes, Kafka) This experience shaped my approach to architectural decision-making, system evolution, and collaboration between engineering and business — foundations that later informed my transition into technical leadership roles.

I joined Policy Brain from day one and contributed to building a political intelligence platform from the ground up. I was responsible for designing the system architecture, establishing engineering best practices, and supporting a small team as the product and company grew. This role strengthened my ability to: * design systems in ambiguous, early-stage contexts, * balance speed and quality in startup environments, * translate complex domains into scalable software solutions.

I worked on the development and maintenance of internal tools used to fight abuse and data quality issues across multiple Google products, including Maps, Gmail, YouTube, and Google+. The tools supported operational teams in identifying patterns and anomalies across millions of data points, improving the speed and effectiveness of abuse detection and mitigation. This role gave me early exposure to: large-scale, data-intensive systems, strong engineering standards and code quality, and collaboration between engineering and operations in complex environments.

I worked on local search quality and abuse prevention, with responsibility for the Italian, Belgian, and Russian markets. My focus was on data analysis and quality assessment, using quantitative methods to identify issues and improve the reliability of search results at scale. This experience strengthened my skills in: data-driven analysis, working with structured datasets and understanding how large consumer platforms balance scale, quality, and regional complexity.

Software engineer @ Amadeus - Sophia Antipolis I worked as a consultant for Adex at Amadeus, as part of the team maintaining the seats allocation algorithm

In my early career, I worked as a technology and capacity planning consultant across international projects, including engagements with large organizations such as Expedia, Vodafone, and Hotwire.

Development and management of the company's website

Laboratory tutor for the Computer Science I course