Engineering Manager

Engineering Manager (Fraud)

Location:

US - Remote

Salary:

250,000-300,000

Employment Type:

Full-time

Our client is a fast-growing fintech startup focused on improving financial access for underserved communities in the U.S. Their core product is an AI-powered chatbot that allows users to send money internationally as easily as sending a message. Leveraging AI, blockchain, and other advanced technologies, they aim to make cross-border payments faster, more affordable, and more accessible.

Backed by top-tier global investors and recognized with industry awards, our client has built a high-performing, mission-driven team. Radical transparency, experimentation, and ownership define their culture-they prioritize delivering real value to customers above all else. This is a unique opportunity to contribute to a meaningful mission with lasting impact.

About the Role

Our client is seeking a hands-on

Engineering Manager

to lead the development of their

real-time Risk and Fraud Detection Platform

. This is a mission-critical role, as the team’s work directly safeguards the company’s financial stability.

The Engineering Manager will oversee a talented team of engineers while also contributing directly to technical execution, focusing on high-availability, real-time risk systems. The role balances strategic oversight with hands-on contribution.

Key Responsibilities:

• Technical Leadership:

Architect and develop high-priority features for the fraud detection platform, including real-time monitoring, rule engines, and ML model deployment pipelines.

• Metric-Driven Ownership:

Translate business goals (e.g., reducing fraud loss, lowering false positives) into measurable engineering objectives and ensure delivery.

• Platform Scaling \& Resilience:

Design and scale low-latency, high-throughput systems critical for real-time risk assessment, ensuring availability and resilience.

• Team Development:

Mentor engineers, manage performance, and foster a culture of rigorous code quality, transparency, and continuous learning.

• Cross-Functional Collaboration:

Partner with Risk Data Scientists, Product Managers, and Operations to execute technical strategy aligned with business goals.

• Process Optimization:

Improve agile workflows, development cycles, and incident response strategies for high-stakes fraud systems.

Required Experience \& Skills:

• Domain Expertise:

3\+ years building, deploying, and maintaining high-throughput Risk, Fraud, or Trust \& Safety systems, preferably in fintech or payments.

• Technical Fluency:

Proven experience as a senior software engineer, capable of coaching engineers on resilient, real-time, data-intensive systems.

• Management Experience:

1\+ year managing engineering teams, inspiring high-quality, high-velocity execution.

• Ownership Mindset:

Able to make impactful decisions in ambiguous environments and take accountability for business outcomes.

• Communication Skills:

Able to convey complex technical trade-offs clearly to peers, product teams, and executives.

• Adaptability:

Familiarity with Python, Flask, REST APIs, and cloud services is a plus, but willingness to quickly learn is essential.