We are looking for an Engineering Program Manager to lead program delivery for our Strategic Risk Security team. This team combines solutions engineering, architecture review, and advanced threat analysis to safeguard customer data and accounts worldwide.
In this role, you will be the operational backbone of the team—turning the results of deep technical analysis into structured plans. You will coordinate discovery sessions, lead post-incident follow-through to establish preventative controls, manage proactive risk mitigation roadmaps, and provide engineering leadership with the visibility and data needed to make informed risk decisions.
Minimum Qualifications
4+ years of experience as an Engineering Program Manager or Technical Program Manager.
2+ years of experience managing projects or programs in the field of security.
Project Management: Proficiency in managing complex projects, including defining scopes, setting timelines, and coordinating cross-functional teams to ensure timely and successful delivery.
Execution at Scale: Proven ability to track large volumes of work items across many teams to completion, using metrics, clear ownership, and consistent follow-through.
BS in technical field or equivalent industry experience
Preferred Qualifications
Build Trust and Influence: Experience fostering collaboration and influencing stakeholders without direct authority to achieve program objectives.
Communication Skills: Ability to convey complex technical information to both technical and non-technical audiences, including executive and senior leadership, with clarity, confidence, and alignment.
Analytical Problem Solving: Ability to evaluate technical trade-offs, simplify complex operational challenges, and design sustainable workflows.
Drive What Matters: Able to focus and simplify, balancing the details with goals, priorities, and trade-offs in mind.
Familiarity with threat modeling, operational threat intelligence, and common attack vectors and frameworks.
Experience with enterprise log collection and analysis platforms (e.g., Splunk, OSQuery).
Experience working with data engineers to define metrics and interpret results from detection and risk models.