
Member of Technical Staff at Anthropic
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Stanford University
Master’s Degree, Computer Science
January 1, 2015 – January 1, 2017
University of Michigan
Bachelor’s Degree, Aerospace Engineering
January 1, 2011 – January 1, 2015
Anthropic
Member of Technical Staff
March 1, 2024 – Present
Anthos Capital
AI Residency
November 1, 2023 – February 1, 2024
Seattle, Washington, United States · On-site
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May 1, 2015 – August 1, 2015
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June 1, 2014 – August 1, 2014
Moffet Field, California
University of Michigan
Research Assistant
January 1, 2012 – October 1, 2014
Ann Arbor, MI
Cultural Fit Analysis
The candidate has a diverse background spanning aerospace engineering, software development, machine learning, product management, and venture capital. While this breadth is valuable, the recent roles in venture capital and 'Member of Technical Staff' at Anthropic, along with the target role of 'Data Analyst', suggest a potential mismatch in career trajectory or a significant shift. The experience is heavily skewed towards AI/ML and strategic roles, which might be overqualified or misaligned for a pure Data Analyst role, depending on the specific responsibilities. The lack of specific data analyst projects or recent hands-on data analysis work is a concern for cultural fit within a dedicated data analyst team.
Soft Skills & Operational Fit
The candidate's experience as a Solutions Architect and Product Manager demonstrates strong communication, leadership, and problem-solving skills. Their involvement in scaling sales organizations and building repeatable processes suggests an operational mindset. The 'Learning + Hacking + Sharing' description from the AI Residency indicates a proactive and collaborative approach to learning and development.