Engineering Manager, Fraud & Identity Platform

This is a fully remote position, open to applicants in Canada.

📋 Description

• Take ownership of the vision, roadmap, and execution for Identity and Fraud & Risk platforms, encompassing authentication, account lifecycle management, identity verification and eligibility, identity graph signals, and fraud detection and prevention.

• Lead and nurture a team of software engineers by setting goals, providing coaching, offering feedback, supporting career growth, and fostering an inclusive culture.

• Establish service health objectives, enhance on-call practices, facilitate post-incident learning, and drive remediation efforts for critical platform services.

• Collaborate with Product, Data Science and Machine Learning, Security, Fraud Operations, Legal, and external identity vendors on essential business initiatives.

• Set the technical direction for identity modeling, identity and risk signals, unified risk scoring, and fraud-as-a-service frameworks.

• Champion AI-driven development practices in design, coding, testing, and operations while ensuring safety, privacy, and compliance measures are in place.

• Define the technical strategy for the identification, contracting, and utilization of identity and risk signals across agents, AI systems, and internal platforms.

• Balance the delivery of the roadmap with the management of technical debt, reliability, security tasks, and defect backlog.

• Represent the Identity Platform in cross-functional planning and leadership discussions.

⛳️ Requirements

• More than 7 years of software engineering experience, including a minimum of 2 years in leadership roles such as engineering management or technical lead.

• Experience in building and managing large-scale distributed systems or real-time decision-making platforms in a production environment.

• Strong background in backend or platform engineering, particularly with Go, Java, or Python.

• Familiarity with AWS or GCP and databases such as Postgres, DynamoDB, or Redis.

• Proven experience in guiding engineers through the hiring process, performance management, providing feedback, coaching, and career development.

• Experience collaborating with Product, Security, Data Science or Machine Learning, Operations, Legal, or Compliance teams.

• Background in an AI-driven engineering environment, including AI-assisted development, agentic workflows, or LLM-powered services.

• Excellent written and verbal communication skills.

• Preferred: experience in trust and safety, identity verification, fraud, risk, or payment systems.

• Preferred: experience handling sensitive identity, account, or payments data along with privacy, security, auditability, and compliance considerations.

• Preferred: experience integrating external identity, risk, or verification vendors.

• Preferred: experience with defining vendor SLAs, managing vendor performance, or executing vendor migrations.

• Preferred: familiarity with experimentation and analytics tools.

• Preferred: experience utilizing AI or LLM-based methods in engineering, detection, identity graph signals, risk scoring, or fraud and identity processes.

🏝️ Benefits

• Flexible work location options, including remote, office, or coffee shop settings.

• Regular in-person team events.

• Equity grant for new hires.

• Annual equity refresh grants.

• Competitive salary and benefits package.