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VP Product @ Opmed.ai | Healthcare AI | Executive Leadership
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Weizmann Institute of Science
PHD, Computer Science, Bioinformatics
January 1, 2002 – January 1, 2007
Weizmann Institute of Science
MSc, Computer Science, Bioinformatics
January 1, 2000 – January 1, 2002
Ben-Gurion University of the Negev
Bachelor of Science - BS, Computer Science and Bioinformatics
January 1, 1997 – January 1, 2000
Opmed.ai
VP of Products
June 1, 2025 – Present
Infinify ✪ Product Leadership Institute by Noa Ganot
Product Leadership Mentor
May 1, 2024 – Present
TailorMed
VP of Product
February 1, 2022 – June 1, 2025
Tel Aviv, Israel
K Health
Director of Data and AI Product Management
June 1, 2020 – December 1, 2021
K Health
Director of Data Modelling
August 1, 2019 – June 1, 2020
IBM
Senior Technical Staff Member
April 1, 2018 – July 1, 2019
IBM
Manager, Machine Learning for Healthcare and Life Sciences
July 1, 2012 – July 1, 2019
IBM
Manager, Machine Learning Technologies group
May 1, 2011 – July 1, 2012
IBM
Research Staff Member
April 1, 2008 – May 1, 2011
Cultural Fit Analysis
The candidate's experience spans large corporations (IBM), health tech startups (K Health, TailorMed), and a product leadership institute. This diversity suggests adaptability to different organizational cultures, from structured corporate environments to agile startup settings. Their academic background in bioinformatics and subsequent roles in healthcare AI align well with organizations focused on data-driven product development in specialized fields. The target role of VP of Product aligns directly with their recent experience, indicating a strong role fit. However, the lack of detailed project descriptions makes it challenging to assess their alignment with specific cultural values or team dynamics.
Soft Skills & Operational Fit
The candidate's career progression from research to technical management and then to product leadership roles suggests strong adaptability, strategic thinking, and the ability to manage complex projects and teams. Their mentorship role further indicates a capacity for leadership development and knowledge sharing. However, without specific project details or behavioral assessment data, it is difficult to fully assess soft skills like collaboration, conflict resolution, or direct operational fit beyond what is implied by their senior roles.