Own the simulation maintenance workflow, ensuring tests are reliable, scalable, and production-ready
Act as a quality owner within the test program, driving consistency across behaviors and test types
Ensure all test deliveries meet defined acceptance criteria and stakeholder expectations
Drive execution of quality-related key results, including test longevity, kickbacks, scope change workflows, and quality corrections
Identify operational bottlenecks and design process improvements that increase throughput, reduce rework, and improve signal quality
Operate with a strong bias toward actions, continuously identifying opportunities for improvement and pushing initiatives to completion
Perform technical deep dives into simulation and test failures to identify root causes and systemic gaps
Apply systems thinking to complex Sim core issues by breaking down large, ambiguous problems into functional dependencies and actionable workstreams
Partner with Engineering and Simulation stakeholders to clarify requirements, validate assumptions, and influence technical decisions through data and analysis
Act as a key connector between Operations, Engineering, and Simulation teams by bridging technical details and operational execution
Build strong collaborations with customers and stakeholders. Manage expectations and align on priorities
Communicate clearly and confidently across audiences, from working-level partners to senior leadership
Requirements
4+ years of experience in technical operations, product operations, technical program management, or data-driven technical roles requiring regular use of Python and SQL
Bachelor’s degree in Engineering, Computer Science, Data Science, Mathematics, or a related technical field or equivalent practical experience
Proven ability to lead complex, cross-functional initiatives without formal authority
Strong stakeholder management skills, including navigating ambiguity and competing priorities
Working proficiency in both Python & SQL for data analysis, debugging, or automation
Ability to independently write and modify scripts and queries to investigate simulation issues, validate assumptions, and drive quality improvements
Ability to understand simulation systems and technical architectures well enough to drive meaningful quality improvements
Strong analytical mindset with experience defining, tracking, and improving quality metrics
Strong collaboration and communication skills
Bias toward actions and continuous improvement; comfortable taking ownership and driving change
Ability to adjust between tactile and strategic, leveraging experience and emotional intelligence to quickly adjust as needed
Tech Stack
Python
SQL
Benefits
Non-Discrimination and Equal Employment Opportunities (U.S.)