Finom

Customer Success Manager

• Proactively engage with existing customers via phone, chat and email.
• Build trusted relationships with your customer portfolio.
• Understand each customer's business, goals and financial needs.
• Help customers get the most value from Finom by introducing relevant features and products.
• Recommend the most appropriate plans and services based on customer needs.
• Identify opportunities to increase product adoption and customer engagement.
• Proactively contact customers showing signs of churn and help retain them.
• Re-engage dormant customers and encourage greater use of Finom.
• Educate customers on new features, products and best practices.
• Gather customer feedback and identify opportunities to improve the customer journey.
• Work closely with Product, Marketing, Sales and Operations to improve the customer experience.
• Become an advocate for our customers, ensuring their voice is represented across the business.

Customer Success Specialist, German/Dutch Speaker

• Proactively engage with existing customers via phone, chat and email.
• Build trusted relationships with your customer portfolio.
• Understand each customer's business, goals and financial needs.
• Help customers get the most value from Finom by introducing relevant features and products.
• Recommend the most appropriate plans and services based on customer needs.
• Identify opportunities to increase product adoption and customer engagement.
• Proactively contact customers showing signs of churn and help retain them.
• Re-engage dormant customers and encourage greater use of Finom.
• Educate customers on new features, products and best practices.
• Gather customer feedback and identify opportunities to improve the customer journey.
• Work closely with Product, Marketing, Sales and Operations to improve the customer experience
• Become an advocate for our customers, ensuring their voice is represented across the business.

Customer Success Specialist – German or Dutch Speaker

Data Scientist

• Own and extend our offline eval suite across products — datasets (capability + regression), judges, metrics
• Build and maintain online quality dashboards: resolution rate, CSAT, thumbs up/down, LLM-as-judge signals, error rate, latency
• Close the production feedback loop: mine failure patterns from real traffic → turn them into regression cases → propose fixes to Product and domain experts
• Harden methodology: judge stability, non-determinism handling
• Translate numbers into decisions – weekly syncs, clear trade-offs, no dashboards for their own sake

Product Data Scientist – AI Evaluation, Quality

Analytics Engineer

• Develop the DWH core model that transforms raw Kafka topics into documented, easy-to-use data products that bring value to data consumers
• Collaborate closely with data engineers to develop our streaming ETL framework and improve its reliability and user experience
• Help the team deliver new features and maintain the existing ones in the OpenMetadata data catalog
• Actively participate in data quality and data governance tools and processes implementations
• Partner with data consumers across the business, supporting their daily data needs and turning requirements into reliable, well-documented data products
• Tackle unique challenges that come with building a Data Platform from scratch

Senior Analytics Engineer

General

• Analyse internal data sources (alerts, chargebacks, disputes, anomaly reports, ML models) and external trends (card schemes, partners, law enforcement, industry intelligence) to identify emerging fraud risks related to acquiring business.
• Translate observed patterns into well-defined acquiring fraud scenarios, covering areas such as Card-Present and Card-not-present fraud, friendly fraud and dispute abuse, merchant fraud, transaction laundering, enumeration and testing attacks.
• Maintain and continuously enrich the Acquiring Fraud Typology Library, aligned with scheme rules, regulatory expectations, and Finom’s risk appetite.
• Work closely with the Fraud Risk Manager, product, engineering, and ML teams to ensure correct translation of acquiring fraud scenarios into rules, thresholds and controls as well as machine-learning features and signals.
• Participate in back-testing, validation, and tuning of acquiring fraud controls prior to production release.
• Monitor performance metrics (fraud rate, chargeback ratio, false positives, merchant friction) and propose optimisation actions.
• Act as a Second Line challenger, providing independent oversight of acquiring fraud risk decisions taken in the First Line.
• Support scheme-related topics such as Visa / Mastercard monitoring programs, dispute ratios, and remediation actions.
• Establish proper stakeholder management with product teams, risk management, quality assurance and operations teams.
• Develop training materials and guidance for acquiring fraud analysts, dispute teams, and QA.
• Assist in drafting and reviewing system requirements, procedures, and internal policies related to acquiring fraud prevention.
• Actively participate in process improvement initiatives and ad-hoc projects within the Financial Crime Risk Management function.
• Perform other duties as reasonably required to support the operational efficiency and fraud loss prevention of Finom.

Acquiring Fraud Investigator – 2nd LoD

• Identify and analyse the risks related to fraud
• Design, monitor, and challenge the effectiveness of fraud controls
• Focus on acquiring fraud risks such as merchant abuse, friendly fraud, chargebacks
• Build and continuously improve Finom’s fraud risk framework
• Ensure fraud rates remain within risk appetite without compromising growth or customer experience

Account Manager

• Own a portfolio of high value SMEs clients across European markets
• Proactively engage with clients - outreach, QBRs, check-ins
• Identify and execute upsell and cross-sell opportunities
• Build genuine relationships with decision-makers
• Use data to inform outreach priorities and commercial conversations
• Monitor account health signals and intervene early
• Maintain clean pipeline and activity tracking in Salesforce
• Contribute to team learning using Modjo call intelligence
• Work closely with onboarding, product, and support

Account Manager – IT, DE, FR Speaker

DevOps Engineer

• Lead the Platform Evolution: Design and operate our Kubernetes ecosystem (GKE, multi-cluster) focusing on high availability and zero-downtime operations.
• Build "Paved Roads": Own and evolve our PaaS strategy, using GitOps (ArgoCD) and CI/CD (GitLab) to empower domain teams to deploy independently.
• Architect Reliability: Define and implement our observability strategy across metrics, logs, and tracing (Prometheus, VictoriaMetrics, OpenTelemetry).
• Drive Infrastructure-as-Code: Lead the automation of our infrastructure using Terraform, ensuring all resources are standardized and version-controlled.
• Own the Error Budget: Partner with engineering teams to establish and manage SLOs, SLAs, and incident management frameworks.
• Disaster Recovery Mastery: Design and participate in regular DR drills, implementing blue/green and active/passive strategies across regions to ensure service continuity.
• Innovate Operations: Proactively apply AI-driven approaches to improve operational efficiency and automated bottleneck detection.

Senior Site Reliability Engineer, SRE

• Drive the design, implementation, and evolution of our Kubernetes-based platform in a multi-cloud environment (GCP/AWS)
• Design and operate our Kubernetes ecosystem with a focus on high availability and zero-downtime operations
• Own and evolve our PaaS strategy, empowering domain teams to deploy independently
• Define and implement our observability strategy across metrics, logs, and tracing
• Lead the automation of our infrastructure using Terraform
• Partner with engineering teams to manage SLOs, SLAs, and incident management frameworks
• Design and participate in regular disaster recovery drills
• Apply AI-driven approaches to improve operational efficiency

• Lead the Platform Evolution: Design and operate our Kubernetes ecosystem (GKE, multi-cluster) with a focus on high availability and zero-downtime operations.
• Build "Paved Roads": Own and evolve our PaaS strategy, using GitOps (ArgoCD) and CI/CD (GitLab) to empower domain teams to deploy independently.
• Architect Reliability: Define and implement our observability strategy across metrics, logs, and tracing (Prometheus, VictoriaMetrics, OpenTelemetry).
• Drive Infrastructure-as-Code: Lead the automation of our infrastructure using Terraform, ensuring all resources are standardized and version-controlled.
• Own the Error Budget: Partner with engineering teams to establish and manage SLOs, SLAs, and incident management frameworks.
• Disaster Recovery Mastery: Design and participate in regular DR drills, implementing blue/green and active/passive strategies across regions to ensure service continuity.
• Innovate Operations: Proactively apply AI-driven approaches to improve operational efficiency and automated bottleneck detection.

Senior Site Reliability Engineer

• Design and operate Kubernetes ecosystem focusing on high availability
• Own and evolve PaaS strategy using GitOps and CI/CD
• Define and implement observability strategy across metrics, logs, and tracing
• Lead the automation of infrastructure using Terraform
• Partner with engineering teams to establish and manage SLOs, SLAs
• Design and participate in regular disaster recovery drills
• Apply AI-driven approaches to improve operational efficiency

• Design and operate our Kubernetes ecosystem (GKE, multi-cluster) with a focus on high availability and zero-downtime operations.
• Own and evolve our PaaS strategy, using GitOps (ArgoCD) and CI/CD (GitLab) to empower domain teams to deploy independently.
• Define and implement our observability strategy across metrics, logs, and tracing (Prometheus, VictoriaMetrics, OpenTelemetry).
• Lead the automation of our infrastructure using Terraform, ensuring all resources are standardized and version-controlled.
• Partner with engineering teams to establish and manage SLOs, SLAs, and incident management frameworks.
• Design and participate in regular DR drills, implementing blue/green and active/passive strategies across regions to ensure service continuity.
• Proactively apply AI-driven approaches to improve operational efficiency and automated bottleneck detection.