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Sr. Technical Product Manager | Nebius
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Live by Hannah Montana's words: "You get the best of both worlds. Chill it out, take it slow. Then, you rock out the show."
Université de Strasbourg
Doctor of Philosophy (PhD), Computer Vision, Pattern Recognition, Image Processing
January 1, 2013 – January 1, 2017
Université Bourgogne Europe
Master, Computer Vision
January 1, 2011 – January 1, 2013
Institut Teknologi Bandung
Bachelor, Informatics (Computer Science)
January 1, 2006 – January 1, 2010
Nebius
Senior Technical Product Manager
June 1, 2025 – Present
Intel Corporation
Engineering Manager
September 1, 2020 – May 1, 2025
COSMONiO (acquired by Intel)
Director of Artificial Intelligence
September 1, 2017 – September 1, 2020
Groningen, Netherlands
Université de Strasbourg
Postdoctoral Researcher
February 1, 2017 – July 1, 2017
Université de Strasbourg
PhD Candidate
September 1, 2013 – January 1, 2017
CNRS-I3S
Intern
February 1, 2013 – July 1, 2013
Sophia Antipolis
CNRS-I3S
Intern
June 1, 2012 – September 1, 2012
RadyaLabs
Windows Phone Developer
March 1, 2011 – January 1, 2014
Kartuku (PT Multi Adiprakarsa Manunggal)
Junior Software Engineer
August 1, 2010 – January 1, 2011
Jakarta
PT. Asuransi Astra Buana, Jakarta
Software Engineer
June 1, 2009 – August 1, 2009
Institut Teknologi Bandung
Assistant Coordinator
August 1, 2008 – June 1, 2010
Cultural Fit Analysis
The candidate has a diverse background spanning academic research, startup environments (COSMONiO), and large corporations (Intel, Nebius). This breadth suggests adaptability to different organizational cultures. Their work on surgical workflow monitoring and visual localization indicates an interest in impactful, real-world applications. However, the recent shift to a Senior Technical Product Manager role, combined with prior Engineering Manager and Director of AI roles, indicates a strong leadership and product-oriented trajectory, which may not directly align with a hands-on Data Analyst role without further clarification of their career aspirations. The lack of explicit project details makes it difficult to assess alignment with specific team values or collaborative styles.
Soft Skills & Operational Fit
The candidate's career progression from researcher to engineering manager and senior technical product manager suggests strong leadership, problem-solving, and strategic thinking abilities. Their academic background indicates a rigorous, analytical approach to complex problems. However, the provided data does not offer direct insights into communication style, stress handling, or team collaboration in a non-academic or non-managerial context, which are crucial for operational fit in a data analyst role.