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Senior Director, AI @Databricks
Cynthya Peranandam leads Product Marketing and GTM for Databricks AI including Agent Bricks, Genie, and ML. Previously, she led Product Development and GTM for AWS AI & Machine Learning solutions. Before Amazon, she led business development for IBM’s early adopter program to commercialize IBM Research for brands including IBM Watson, and pioneered IBM market intelligence and thought leadership programs for AI, quantum computing, and hybrid cloud. She is the author of numerous reports and blogs on digital business and technology, and has been featured in Forbes, The Wall Street Journal, and WIRED.
UCLA Anderson School of Management
Executive Management Program
N/A – Present
Databricks
Senior Director, AI Product Marketing
December 1, 2025 – Present
Los Angeles, CA
UiPath
Senior Director, Product Marketing, Agentic AI & Orchestration
May 1, 2025 – December 1, 2025
Los Angeles, California, United States
Amazon Web Services (AWS)
Head of Product Management, AWS AI
June 1, 2021 – May 1, 2025
Los Angeles, CA
Amazon
Head of Global Enterprise Marketing, Amazon Business
April 1, 2019 – May 1, 2021
Seattle, Washington, United States · On-site
Amazon Web Services (AWS)
Head of Product Marketing, AWS Machine Learning & AI
May 1, 2017 – June 1, 2019
Seattle, WA
IBM
Product Strategy Leader, IBM AI, Quantum, Cloud
January 1, 2014 – January 1, 2017
Los Angeles, California, United States
IBM
Senior Product Marketing Manager, IBM Cloud
January 1, 2011 – January 1, 2014
Los Angeles, California, United States
IBM
Business Development Leader, IBM alphaWorks
January 1, 2002 – January 1, 2010
Los Angeles, California, United States
IBM
Business Strategy Consultant, IBM e-business Innovation Center
January 1, 2000 – January 1, 2002
Los Angeles, California, United States
Academy Accreditation - Generative AI Fundamentals
Databricks
June 24, 2026 – Present
AWS Certified AI Practitioner
Amazon Web Services (AWS)
June 24, 2026 – Present
Product Management Certification
University of California, Berkeley, Haas School of Business
June 24, 2026 – Present
Machine Learning in Business
MIT Sloan School of Management
June 24, 2026 – Present
AWS Certified Cloud Practitioner
Amazon Web Services (AWS)
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a long and consistent career trajectory within large, established technology companies (IBM, Amazon/AWS, UiPath, Databricks), indicating a preference for structured environments and large-scale operations. Their focus on product marketing and GTM for cutting-edge technologies like AI, ML, and quantum computing suggests an innovative mindset. However, the target role is 'Security Engineer,' which is a significant pivot from their extensive product marketing and management background. While they have certifications in AWS Cloud and AI, and experience with AI/ML products, there is no direct experience or explicit skills listed for security engineering roles (e.g., threat modeling, incident response, secure coding, security architecture). This creates a significant gap in cultural and technical fit for a hands-on security engineering role, despite their strong background in related tech domains.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles, building teams, and driving GTM strategies suggests strong operational fit and soft skills in leadership, strategic thinking, and cross-functional collaboration. Their history of managing diverse teams and fostering relationships with partners and developer communities indicates strong communication and interpersonal skills. The resume highlights data-driven decision-making and exceeding targets, pointing to a results-oriented approach.