Teams at Socure

Develop and deploy deep learning models for fraud detection, risk management, and identity verification. Work across diverse data modalities, including tabular data, text, point clouds, and images, throughout the machine learning lifecycle. Responsibilities include data exploration, feature engineering, model training, evaluation, deployment, monitoring, and communicating results. Collaborate cross-functionally, make technical decisions independently, and apply emerging AI and machine learning techniques to production challenges.

Own centralized Product Operations systems, reporting, analytics, and process governance. Build dashboards and metrics, improve data quality, standardize planning and prioritization workflows, facilitate cross-functional handoffs, and connect product strategy to roadmap execution. Support planning cycles, business reviews, and leadership reporting while enabling embedded product teams through documentation, training, tooling, and repeatable processes.

Leads requirements gathering, planning, implementation, deployment, and concurrent project delivery for global clients. Manages timelines, scope, dependencies, stakeholder communications, and status meetings while partnering with commercial, technical, development, and deployment teams. Diagnoses integration challenges, educates clients on solutions, supports sustainable implementations, and provides product roadmap insights. Requires strong technical project management, agile development knowledge, communication, analytical problem-solving, and relationship-building skills.