Senior Staff Software Engineer | Manager, Generative AI at Google
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
EPFL
Ph. D., Computer, information and communication sciences
N/A – Present
EPFL
Master, Microengineering
N/A – Present
Senior Staff Software Engineer | Manager
November 1, 2025 – Present
Cambridge, Massachusetts, United States · Hybrid
Staff Software Engineer | Manager
April 1, 2023 – November 1, 2025
Cambridge, Massachusetts, United States · Hybrid
Microsoft
Principal Researcher
September 1, 2020 – April 1, 2023
Microsoft
Senior Data Scientist
October 1, 2018 – September 1, 2020
Roche
Principal Software Engineer, Computer Vision & Machine Learning
March 1, 2015 – September 1, 2018
Boston
Raytheon BBN Technologies
Scientist, Computer Vision & Machine Learning
January 1, 2013 – March 1, 2015
Cambridge, MA
Harvard University
Postdoctoral Fellow
August 1, 2010 – August 1, 2012
Cambridge, MA
Microsoft Core Leadership Certificate
Microsoft
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's extensive experience at top-tier technology companies (Google, Microsoft) and research institutions (Harvard, Raytheon BBN) indicates a strong fit for fast-paced, innovation-driven environments. Their background in diverse areas like GenAI, computer vision, and machine learning suggests adaptability and a broad technical curiosity. However, the target role of 'Data Analyst' might be a significant step down in scope and responsibility compared to their recent 'Senior Staff Software Engineer | Manager' and 'Principal Researcher' roles, potentially leading to a mismatch in expectations or underutilization of their advanced skills. The candidate's profile is heavily skewed towards research and engineering leadership in AI/ML, which is a more specialized and advanced domain than a typical Data Analyst role.
Soft Skills & Operational Fit
The candidate's progression into management roles at Google and Microsoft, along with a Microsoft Core Leadership Certificate, suggests strong leadership, project management, and potentially team collaboration skills. The descriptions of their roles indicate an ability to lead complex technical initiatives and manage teams, which are valuable for operational fit.