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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
We're hiring dev-ops, data scientists, mobile, back-end and systems engineers.
Santa Clara University
MS, Computer Science
January 1, 2004 – January 1, 2006
UC San Diego
BS, Computer Science
January 1, 1995 – January 1, 1998
Instacart
Chief Technology Officer
October 1, 2024 – Present
San Francisco Bay Area
Uber
VP Engineering (Head of) Uber Delivery
January 1, 2021 – October 1, 2024
San Francisco Bay Area
Postmates by Uber
SVP Product & Engineering
January 1, 2019 – June 1, 2021
San Francisco Bay Area
Evernote
Chief Technology Officer
January 1, 2016 – January 1, 2018
Redwood City
GoDaddy
VP of Engineering and Distinguished Engineer
January 1, 2014 – January 1, 2016
Sunnyvale, CA
RokketLaunch Inc
Co-founder and CTO
January 1, 2012 – January 1, 2014
Palo Alto, CA
Shazam Entertainment
US Head of Engineering
January 1, 2011 – January 1, 2013
Menlo Park, CA
Yahoo!
Lead Developer and Director of Engineering of Yahoo!’s Edge Services
January 1, 2009 – January 1, 2011
Yahoo!
Architect of Yahoo Mail Anti-Spam & Delivery
January 1, 2006 – January 1, 2009
Yahoo!
Senior Software Engineer
November 1, 2002 – August 1, 2006
Pivia Inc
Software Engineer
January 1, 2001 – January 1, 2002
Cupertino, CA
Nokia
Software Engineer
January 1, 2000 – January 1, 2001
IBM
Software Engineer
January 1, 1998 – January 1, 1999
Cultural Fit Analysis
The candidate has a long and distinguished career primarily in leadership and executive roles within large technology companies, often involving scaling infrastructure and managing significant engineering teams. While their experience is highly relevant to building robust systems, the target role of 'Big Data Engineer' is typically a hands-on individual contributor role. The candidate's recent roles are far removed from direct engineering contributions, which might indicate a mismatch in day-to-day responsibilities and expectations for a cultural fit in a purely engineering role. Their background is more aligned with leading a big data engineering organization rather than being an individual contributor within one. The lack of specific project details or open-source contributions makes it difficult to assess their current hands-on technical depth.
Soft Skills & Operational Fit
The candidate's extensive leadership experience suggests strong soft skills in team management, strategic planning, and cross-functional collaboration. Their career progression to CTO and VP roles indicates a high degree of operational fit for leading complex engineering initiatives. However, specific details on communication style, stress handling, or team collaboration are not available from the provided data.