myPOS

Operations

• Reporting to the Head of Indirect, coordinate with local and central teams on operational topics
• Build and maintain tracking routines to monitor agent and reseller activity and performance
• Proactively identify onboarded but not-yet-active clients and agents/resellers with declining activity
• Design and roll out robust processes for Indirect channels
• Develop lightweight tools and automations to improve visibility into Indirect channel activity
• Gather and relay field feedback to central teams and suggest process/tool improvements

Senior Indirect Sales Operations

Bilingual

• Support our Italian customers from the installation of their solution to their day-to-day assistance.
• Customer support & technical assistance
• Respond to customer inquiries (phone, email, WhatsApp…)
• Diagnose and resolve technical issues related to software or hardware.
• Track tickets and support customers until resolution.
• Perform maintenance and repair interventions when necessary.
• Deliver customer trainings
• Continuous improvement: report customer feedback to product and technical teams.
• Contribute to improving the user experience and internal processes.
• Help ensure a high level of service quality.

Bilingual French/Italian Support Technician

Sales Operations Manager

• Structure and equip the Sales team
• Create and maintain sales enablement materials: playbooks, battlecards, pitch decks, product sheets, and one-pagers
• Develop clear, differentiating sales messaging aligned with product positioning
• Help optimize sales processes to reduce friction and accelerate deal cycles
• Train and support Sales teams
• Design and deliver training on products, tools, and sales techniques
• Ensure onboarding of new Sales hires to make them operational quickly
• Identify skill gaps and proactively address training needs
• Analyze and improve commercial performance
• Monitor key metrics related to Sales team effectiveness
• Gather field feedback to continuously improve content and processes
• Measure the impact of initiatives and recommend adjustments

Sales Enablement Specialist

Business Development Rep

• Meet with merchants, grow your client portfolio, and close deals in the field
• Identify new targets and contact them using effective outbound techniques on the ground
• Develop tailored offers based on merchants' specific needs
• Present and demonstrate our products during client meetings
• Manage your prospects throughout the sales cycle (from first contact to contract signing)
• Maintain accurate reporting of your sales activity using our internal tools
• Participate in trade shows

Field Business Developer

• Construire des offres sur-mesure en fonction des besoins spécifiques des commerçants et des opportunités du marché.
• Présenter et démontrer nos produits lors de rendez-vous commerciaux avec les prospects.
• Accompagner le client tout au long du cycle de vente : premier contact, démonstration, relance, rendez-vous, signature.
• Assurer le reporting de ton activité commerciale grâce à nos outils internes dédiés.

Senior Business Developer

Sales Development Rep

• Identifier, contacter et qualifier de nouveaux prospects depuis nos bureaux lyonnais.
• Identifier les commerces à fort potentiel pour Toporder et cibler les bons prospects.
• Atteindre les objectifs mensuels de prises de démonstrations pour les Business Developers.
• Optimiser la qualité des prises de démo : gestion du panier moyen, respect des délais de démo, gestion des “no-show” et identification des bons décisionnaires.
• Gérer le pipeline de l’équipe SDR, en assurant un suivi rigoureux des opportunités.
• Assurer un reporting hebdomadaire et mensuel au Team Lead pour suivre la progression des objectifs.
• Participer aux salons et événements pour développer le réseau et l’image de Toporder.
• Utiliser des outils de prospection tels que Pharow, Kaspr, LinkedIn, etc., pour maximiser l’efficacité et la précision de ta recherche de prospects.

Sales Development Representative

Human Resources

• HR systems and process improvement
• Review current HR and Talent Acquisition processes
• Design and document clear, scalable HR processes
• Improve workflows for onboarding, employee changes, approvals, background checks, exits and other core HR activities
• Work with HR, Payroll, IT, Finance and other teams to ensure systems and processes connect properly
• Drive adoption of new processes, systems and ways of working across HR and the wider business
• Identify opportunities to automate repetitive HR tasks
• Lead practical AI use cases across HR
• Support the creation of dashboards and regular reporting across headcount, attrition, hiring, onboarding

Senior Manager, HR Operations Transformation

• Build the operational foundations required for our next stage of growth.
• Manage the HR Operations and Analytics team, improving day-to-day HR operations.
• Review current HR and Talent Acquisition processes and identify inefficiencies.
• Design and document scalable HR processes across the employee lifecycle.
• Improve workflows for onboarding, employee changes, approvals, and other core HR activities.
• Support improvements to the HR tech stack with tools like HRIS and ATS.
• Identify opportunities to automate repetitive HR tasks and reduce manual work.
• Track the impact of automation and AI.
• Ensure HR processes and documentation are compliant and scalable across multiple countries.

• Receive and review signed quotes
• Handle administrative tasks related to clients
• Ensure high-quality communication to support long-term client relationships
• Configure the equipment required for client installations
• Support clients before, during and after installation
• Manage trainers' schedules

Bilingual Sales Assistant (French/Italian)

Artificial Intelligence

• Opportunity Identification
• Run structured discovery sessions with each function (Ops, CS, KYC, Finance, Sales, Marketing, HR, Product, Tech) to identify AI use cases aligned with the AI Strategy
• Challenge function leaders on where manual processes persist that AI should own
• Maintain a live pipeline of AI opportunities across the organization, ranked by strategic value, feasibility, and readiness
• Bring identified opportunities to the AI Accelerator for review and prioritization - ensuring only initiatives that advance the North Star enter the pipeline
• Performance Tracking
• Own the measurement framework on AI transformation at the operational level - ensure every active initiative has a baseline, a metric, and a delivery owner
• Run quarterly maturity reviews per function - assess progress against an AI maturity model, identify what is stalling and why
• Track the pilot-to-production ratio across all active initiatives - flag Pilot Purgatory patterns early and escalate to the AI Transformation Lead before they compound
• Prepare the quarterly AI progress report for the CEO - concise, outcome-focused, no activity metrics
• Function Engagement
• Serve as the primary day-to-day AI contact for function leads - the person they call when they have an idea, a concern, or a blocker
• Facilitate structured sessions with Sales, Marketing, and HR leadership to define their annual milestones
• Challenge existing processes and support function leads to redefine them
• Monitor for scope creep and initiative drift - when a function's AI work diverges from the strategy, flag it and bring it back into alignment
• AI Accelerator Support
• Brief the AI Transformation Lead regularly on what is moving, what is stalling, and what is emerging across functions
• Prepare materials for C-level AI governance conversations - structured, evidence-based, tied to strategy milestones
• Support the rollout of the AI Academy - coordinate with HR on curriculum delivery and track adoption rates across functions
• Contribute to the AI tools policy - identify tools in use across functions, assess alignment with the approved tool list, flag unauthorized usage

AI Transformation Consultant

Account Executive

• Be the first conversation local Dutch businesses have with myPOS, responding to inbound leads and exploring what they need to grow and how our product can contribute to it
• Act as a trusted advisor and payments expert, presenting myPOS solutions tailored to each customer’s business needs
• Build strong customer relationships through regular follow-up, helping turn conversations into new customers and revenue as part of the growing Inside Sales team
• Own your pipeline by keeping customer conversations and progress accurately tracked
• Partner closely with sales teams across Europe and internal stakeholders to deliver a smooth and positive customer experience

Inside Sales Executive, Dutch

Data Scientist

• Own the full lifecycle of complex modelling programmes across Customer & Commercial Intelligence: CLTV, Churn Prediction, Propensity to Buy, and Next Most Likely Product (NMLP)
• Architect multi-horizon churn models and build the churn intervention scoring layer that prioritises at-risk merchants for Account Management teams
• Lead the NMLP engine — designing and productionizing a multi-output recommendation system that identifies the next product across myPOS's full catalogue
• Take technical ownership of core fraud model components: transaction-level classifiers, merchant behaviour anomaly detectors, and new-account fraud scorers optimised for high-throughput, low-latency inference
• Architect and own the Next Best Action (NBA) decisioning engine - a real-time system that selects the highest-expected-value action for each merchant at every interaction
• Design and build production-grade agentic AI systems that automate high-value analytical and operational workflows
• Define and execute experiment designs for online evaluation - A/B tests, uplift experiments, and bandits - and analyse results with statistical rigour
• Set and enforce technical standards across the team: code quality, reproducibility, evaluation rigour, model documentation, and MLOps practices
• Produce high-quality model documentation and present complex modelling work clearly to stakeholders across Sales, Marketing, Risk, Product, and Operations

Senior Data Scientist

AI Engineer

• As an AI Engineer, you'll design, build, and operate production-grade AI/ML systems - from agentic applications and MCP-powered tools to the underlying MLOps infrastructure and data foundations that make them reliable at scale
• Your work will power intelligent products and internal automation across the company, and will help shape how the organisation safely adopts AI at scale
• Design and build agentic systems: single agents, multi-agent orchestration, and sub-agent patterns for complex workflows (planner/executor, supervisor/worker, hierarchical task decomposition)
• Develop MCP (Model Context Protocol) servers and tools that expose internal systems, datasets, and actions to LLM-powered applications in a safe, governed, and reusable way
• Implement retrieval systems (RAG, hybrid search, graph-based retrieval) including chunking, embedding, re-ranking, and context-assembly strategies
• Build and maintain MLOps automation: CI/CD for models and agents, environment management, artifact handling, and versioning of prompts, models, data, and code
• Implement observability for AI systems: tracing, token/latency/cost metrics, quality and drift monitoring, alerting, and incident response
• Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
• Expose well-modelled, governed datasets and APIs that agents, tools, and downstream consumers can rely on
• Ensure secure data handling and compliance with relevant data protection standards and internal policies
• Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes

Data Engineer

• Design, build, and operate scalable, reliable data pipelines and data infrastructure
• Ensure high-quality data is accessible, trusted, and ready for analytics and data science
• Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
• Develop and evolve scalable data architecture to meet business and performance requirements
• Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics
• Implement best practices for data quality, testing, monitoring, lineage, and reliability
• Optimize workflows for performance, cost, and scalability (e.g., tuning Spark jobs, query optimization, partitioning strategies)
• Ensure secure data handling and compliance with relevant data protection standards and internal policies
• Contribute to documentation, standards, and continuous improvement of data platform and engineering processes
• Ensure secure, compliant handling of data and models, including access controls, auditability, and governance practices
• Build and maintain MLOps automation: CI/CD for ML, environment management, artifact handling, versioning of data/models/code

Senior Indirect Sales Operations

Bilingual French/Italian Support Technician

Sales Enablement Specialist

Field Business Developer

Senior Business Developer

Sales Development Representative

Senior Manager, HR Operations Transformation

Senior Manager, HR Operations Transformation

Bilingual Sales Assistant (French/Italian)

AI Transformation Consultant

Inside Sales Executive, Dutch

Senior Data Scientist

AI Engineer

Data Engineer – Contractor