About the role

Technical Project Manager leading technical programs at Magnet Forensics. Driving project delivery and collaboration using technology and AI-enabled workflows.

Responsibilities

Own end-to-end delivery for Magnet technical programs, keeping scope, dependencies, schedule, risks, and priorities clear
Turn big goals into practical plans, milestones, and delivery frameworks
Keep engineering, product, and business stakeholders aligned, informed, and focused
Use AI, automation, and modern tools to improve planning, tracking, reporting, and communication
Apply good judgment to ensure AI-assisted outputs are accurate, useful, and aligned with project goals
Communicate clearly across teams and leadership so updates, decisions, risks, and next steps are easy to act on
Facilitate project meetings, stakeholder reviews, and steering discussions that coordinate efforts and move work forward
Spot risks and issues early, raise concerns before they become blockers, and support fast, informed decisions
Proactively identify gaps in process and execution, then recommend practical solutions that help teams work better
Champion useful improvements, tools, and practices that make delivery more efficient and scalable
Track and communicate delivery health metrics, using data to drive continuous improvement

Bachelor’s degree in a technical field, or equivalent practical experience;
3+ years of experience in software or IT project/program management;
Strong track record delivering complex, cross-functional projects;
Experience with project management in continuous delivery, Agile, Scrum, or hybrid delivery environments;
Strong analytical skills, with experience using data and metrics to assess program health and recommend solutions;
Technical fluency sufficient to understand software architecture, assess dependencies, and participate in trade-off discussions;
Demonstrated understanding of software development and test methodologies;
Comfort with modern productivity tools, emerging technologies, AI-assisted workflows, and data-driven insights.