You will lead and scale the digital growth engine by owning the strategy and execution of performance marketing programs across enterprise and mid-market segments. This includes managing paid media, website performance, database marketing, and mentoring a high-performing team.
Design and execute structured exploratory testing charters to identify risks, edge cases, and failure modes in complex payment and card issuing platforms. Collaborate with automation engineers and developers to improve test coverage and champion a quality-first mindset across the engineering team.
You will own a portfolio of high-value customers in the fleet, fuel, and mobility sectors, driving strategic growth and long-term partnership development. You will act as a lead commercial advisor, aligning customer objectives with company solutions while coordinating across internal teams to ensure successful outcomes.
You will manage a portfolio of high-value customers in the fleet, fuel, and mobility sectors to drive growth, retention, and strategic account development. You will act as a primary commercial advisor, aligning customer needs with internal product and delivery teams to ensure successful outcomes.
Develop and execute regional marketing plans across Italy, Iberia, and Eastern Europe to drive pipeline growth and brand awareness. Collaborate with sales and cross-functional teams to adapt global campaigns and deliver account-based marketing programs.
Identify and secure strategic partners across Europe to drive revenue and market expansion. Lead the entire partner acquisition journey from prospecting and outreach to negotiation and onboarding.
The Technical Onboarding Manager is responsible for the technical setup and configuration of card issuing and processing services to ensure successful customer go-lives. This includes translating customer requirements into system settings, troubleshooting APIs and logs, and collaborating with project managers and engineering teams.
Design and maintain scalable MLOps infrastructure and CI/CD pipelines for machine learning and Generative AI applications. Monitor production ML systems and manage the end-to-end model lifecycle including deployment and governance.
Drive new business opportunities into the sales funnel and manage the full sales cycle from identification to contract signature. Collaborate with internal teams to qualify prospects against the CaaS model and maximize Month 12 MRR.
