Our client is a general leader in Telecom Fraud Management. The client's winning aspiration is to empower every digital journey to be fearless, seamless, and fraud-free. We are looking for a Technical Product Manager (TPM) who can serve as the bridge between advanced engineering and real-world fraud management outcomes. Drive 0-to-1 feature development as well as the scaling and optimisation of product capabilities. Technical Leadership & Cross-Functional Collaboration
* Collaborate daily with Engineering, platform architects, and UX designers to translate product requirements into technical specifications.
* Deeply understand product lifecycles
* Lead technical discovery sessions, write detailed PRDs with acceptance criteria, and makeinformed trade-off decisions
* Partner with architects to define a scalable, secure, and cloud-native solution. Data-Driven Product Management
* Define and track key product metrics
* Use product analytics, A/B testing, and model performance dashboards to guide iteration and prioritisation.
* Technical Credibility: Comfortable discussing model architectures, API designs, data pipelines, and system scalability with engineering teams — without needing to write the code.
* Prior experience in fraud management, risk, or cybersecurity — preferably in telecom, fintech, or enterprise software — is strongly preferred.
* Track record of driving products from concept to launch, owning metrics, and iterating based on data. Required:




* Deep familiarity with fraud detection system architectures: real-time event streaming, rule engines, threshold management, case management, and reporting.
* Understanding of telecom data structures — CDRs, signalling data (SS7, Diameter), network topology — and how they are used for fraud pattern identification.
* Knowledge of fraud investigation workflows: evidence collection, case lifecycle management, escalation paths, and regulatory reporting requirements.
* GDPR, OFCOM, FCC, GSMA guidelines, and local CSP obligations.
* Familiarity with integration patterns between FMS and adjacent systems: mediation platforms, BSS/OSS, network probes, and third-party threat intelligence feeds. Preferred / Bonus:
* Experience working in or with AI coding environments (GitHub Copilot, Cursor, etc.) Exposure to graph-based fraud detection, network analysis, or entity resolution systems.
* Understanding of MLOps tooling (MLflow, Kubeflow, SageMaker) and model monitoring in production.
* Experience with NLP for telecom data, CDR analysis, or voice/SMS fraud pattern recognition. EDUCATIONAL QUALIFICATIONS &

EXPERIENCE:
* Graduate / Post Graduate in Engineering (Computer Science, Data Science, or related field) from a premier institute.
* Minimum 8-12 years of industry experience, with at least 4-5 years in a product management role.
* Prior experience in telecom, fraud management, cybersecurity, or a data-intensive B2B SaaS environment is strongly preferred.

📌 Technical Product Manager (Ceuta)
🏢 Mbr Partners
📍 Ceuta