Jonny Mooneyham
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Technical Program Manager
Senior Technical Program Manager with more than 15 years of experience leading technical programs in research, startup, and Fortune 500 companies. Demonstrated track record delivering large cross-functional programs with complex business and technical requirements. Skilled with AI, machine learning, data science, software development. Earned Masters in Computer Science with focus on Deep Learning, and MBA with exceptional academic standing and awards. Skills & Qualifications Machine Learning, Deep Learning, Java, Python, JavaScript, C, HTML/CSS, PyTorch, TensorFlow, scikit-learn, NumPy, Linux, Unix, OSX, Windows, MySQL, DB2, MongoDB, RDS, Dynamo, Git, CVS, SVN, DevOps, CI/CD, Data Visualization and Analytics, Amazon Web Services, Leadership, Management
Western Washington University
Master of Science (M.S.), Computer Science
N/A – Present
Western Washington University
Master of Business Administration (MBA), Business Administration and Management, General
N/A – Present
Western Washington University
BA, Business Administration
N/A – Present
Meta
AI / ML Technical Program Manager
December 1, 2021 – Present
Redmond, Washington, United States
Compass
Chief of Staff, Engineering
January 1, 2021 – December 1, 2021
Compass
Senior Technical Program Manager
October 1, 2019 – December 1, 2021
Intellitonic
Technical Program Manager
June 1, 2018 – October 1, 2019
Western Washington University
Machine Learning Researcher, Technical Project Manager, Graduate TA
September 1, 2016 – July 1, 2019
Bellingham, Washington Area
Expeditors
Technical Program Manager
June 1, 2008 – September 1, 2016
Seattle, WA
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on program management and leadership within tech. While there is a Master's in Computer Science and a past role as an ML Researcher, the recent experience is heavily weighted towards TPM roles rather than hands-on ML engineering. This might indicate a cultural fit more aligned with project execution and strategic oversight rather than deep technical implementation for an ML Engineer role. The diversity of roles (TPM, Chief of Staff, Researcher) shows adaptability, but the direct alignment with a hands-on ML Engineer role is not strong based on recent experience.
Soft Skills & Operational Fit
The candidate's extensive background in Technical Program Management, including Chief of Staff roles, suggests strong organizational, leadership, and cross-functional communication skills. Experience at Meta and Compass indicates an ability to operate within large, complex organizations. The MBA further supports business acumen and strategic thinking. However, the provided data does not offer direct insights into specific soft skills like stress handling or team collaboration from the psychometric test results, as scores are zero.