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Product Manager AI/ML at Meta
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Harvard University
Master’s Degree, Management
N/A – Present
National University of Sciences and Technology (NUST)
Bachelor of Engineering (B.E.), Computer Software Engineering
N/A – Present
Meta
Product Manager Machine Learning
March 1, 2022 – Present
Vertica
Principal Product Manager ML Platform
October 1, 2021 – March 1, 2022
Vertica
Sr. Product Manager Machine Learning
April 1, 2019 – October 1, 2021
Hewlett Packard Enterprise
Technical Product Manager - Machine Learning
July 1, 2016 – April 1, 2019
Tetra Pak
Manager Key Accounts Strategy & GTM
April 1, 2012 – August 1, 2015
Philip Morris International
Analytics Manager
April 1, 2011 – April 1, 2012
Philip Morris International
Channel Marketing Manager
August 1, 2009 – April 1, 2011
Cultural Fit Analysis
The candidate has a diverse professional background spanning multiple industries (tech, consumer goods) and roles (product management, analytics, marketing). This diversity suggests adaptability. However, the target role is 'Data Analyst', while the candidate's recent experience is heavily skewed towards 'Product Manager Machine Learning'. This represents a significant shift in focus from strategic product leadership to a more hands-on analytical role, which might impact cultural fit for a pure data analyst position.
Soft Skills & Operational Fit
The candidate's resume indicates a strong background in product management and analytics, suggesting skills in strategic thinking, problem-solving, and cross-functional collaboration. The roles held at Meta, Vertica, and HPE imply experience in fast-paced, technically demanding environments. However, without psychometric test results, specific soft skills like stress handling, teamwork, and logical reasoning cannot be objectively assessed.