Tala

Product Manager

• Define and own Tala’s multi-year product strategy and roadmap for fraud prevention, customer authentication, identity, and related risk capabilities
• Identify opportunities to improve fraud prevention across signup, login, account management, and other high-risk customer actions
• Balance fraud prevention with customer experience by reducing fraud losses and false positives while minimizing unnecessary friction
• Translate complex fraud patterns, emerging attack vectors, and business needs into clear product strategies and priorities
• Partner with Data Science and Analytics to define model objectives, evaluate model and feature performance, and improve detection
• Determine appropriate fraud decision thresholds and rules based on data and business objectives
• Establish and monitor metrics including fraud loss rates, detection accuracy, false-positive rates, customer conversion, and authentication success
• Improve data and infrastructure needed for effective fraud decisions
• Collaborate on fraud detection models, rules, feature infrastructure, and decisioning systems
• Translate ambiguous fraud and authentication problems into clear product requirements
• Lead cross-functional engineers and partners to deliver the roadmap
• Prioritize initiatives based on customer impact, fraud exposure, business value, technical complexity, and data
• Improve the scalability and reliability of Tala’s fraud and authentication infrastructure
• Drive initiatives from strategy and discovery through launch, measurement, and iteration
• Investigate fraud incidents and emerging fraud patterns and turn lessons into proactive product and system improvements
• Build partnerships across Product, Engineering, Data Science, Analytics, Lending, Finance, Customer Care, Marketing, and Legal
• Communicate complex fraud and risk concepts to technical and non-technical stakeholders
• Manage external vendors and technology partners supporting fraud, authentication, identity, or risk capabilities
• Create alignment across distributed global teams and drive decisions amid incomplete or ambiguous information

Senior Product Manager, Fraud & Risk

Machine Learning Engineer

• Lead Tala’s ML Platform team
• Manage and develop a team of 4–6 Machine Learning Engineers across mid-to-senior levels
• Hire, source, interview, and close strong MLE talent
• Establish expectations, provide feedback, and create development plans
• Coach engineers toward growth and promotion while addressing performance gaps
• Set quarterly goals and ensure consistent delivery
• Own prioritization across product roadmap work, run-the-business activities, and operational excellence
• Balance capacity across new development, maintenance, technical debt, and production support
• Improve productivity by reducing context switching and delegating effectively
• Partner with engineers and technical leads to estimate and scope complex work
• Guide development of platforms and frameworks for data exploration, feature development, and ML model training, testing, deployment, and monitoring
• Provide technical leadership across model infrastructure, real-time inference, streaming feature extraction, batch processing, and production ML systems
• Drive testing, automation, observability, fault tolerance, infrastructure-as-code, and deployment practices
• Own and improve SLOs, on-call health, capacity planning, reliability, and incident response
• Review technical designs and drive architectural standards and technical debt reduction
• Collaborate with Data Science, Data Engineering, Data Platform, Product, Credit, and Business Development teams
• Translate business and technical needs into scalable ML platform solutions
• Coordinate dependencies and delivery across engineering and data teams

Senior Product Manager, Fraud & Risk

Manager, Machine Learning Engineering