Manager II, Engineering

Blackhawk Network•Coppell, TX

2d•Hybrid

About The Position

Risk Engineering builds and operates Unified Risk, BHN's central risk and fraud decisioning platform, supporting real-time transaction risk scoring, order risk decisioning, manual reviews, 3DS enforcement and fraud detection across BHN's brand portfolio. This role will own a distributed team of engineers across multiple US locations and reporting to the Sr Director of Engineering.

Requirements

8+ years hands-on professional experience building commercial products with Java
2+ years of management experience leading and mentoring engineers on distributed teams
Bachelor's degree in Computer Science or equivalent; Master's Degree in Computer Science a plus
Significant experience designing and building REST services and familiarity with microservice architectures
Proven experience designing and building scalable, high-throughput, low-latency systems
Comfortable with relational and NoSQL database design and SQL
Knowledge of security best practices as they relate to web application development, such as OWASP
Experience working in a cloud environment, preferably AWS, including cost management and optimization
Experience using Agile methodologies to plan and deliver increments of functionality
Working knowledge of core ML concepts (precision, recall, F-score, model training/evaluation) to effectively partner with our Data Science team on risk model integration
Strong grasp of AI/LLM concepts, including agents and agentic workflows, with the ability to evaluate and lead adoption of the right AI solution for engineering problems
Comfort working with data to identify and analyze fraud patterns, translating findings into engineering and product decisions
Strong verbal and written communication skills, including the ability to clearly communicate technical concepts in non-technical terms

Nice To Haves

Experience with UI frameworks like Angular and React
Experience with fraud/risk systems, payments, or high-scale transactional platforms
Candidates who not only demonstrate curiosity and adaptability in emerging technologies but have also successfully implemented and utilized AI tools to enhance their work, improve processes, or deliver measurable results.
Our teams embrace continuous learning and the thoughtful integration of AI to create meaningful impact – for our employees and the future of work.

Responsibilities

Directly manage ~10 engineers across multiple US locations, owning career growth, performance, hiring, and day-to-day team health
Stay hands-on: contribute code, review architecture decisions, and unblock technical execution on Protego roadmap items
Partner with Product Owners to shape and prioritize the Risk Engineering roadmap
Own sprint execution and Jira hygiene including backlog grooming, sprint planning, velocity tracking
Manage stakeholder relationships across Risk Ops, Compliance, Payments, and Identity teams
Own AWS cost accountability for your team's services, monitor spend and drive optimization aligned with our sustainability/green infrastructure goals
Champion AI-assisted engineering practices within the team, using tools like Claude Code and GitHub Copilot to increase velocity and code quality
Represent the team in cross-functional planning and escalate blockers proactively