Geetika Khosla

About Geetika Khosla

Hello Everyone,I build and scale enterprise and consumer SaaS products that solve real-world problems and deliver measurable outcomes. With 8+ years of experience across Microsoft, Expedia Group, Cyware, and Sprinklr, I bring deep expertise across cybersecurity, fraud and risk, trust & safety, customer experience, and data protection.At Microsoft, I lead product initiatives in sensitive data detection, endpoint discovery, and enterprise compliance. My work focuses on building scalable platforms and simplifying data protection for large organizations. I\'ve worked on launching OCR-based classification for non-text content, integrating GenAI to streamline policy authoring, and improving data security through least privilege access and red team gap remediation.At Expedia, I implemented an LLM-powered adaptive risk model to detect and prevent account takeovers. I also built internal tooling that enabled fraud teams to act quickly reducing investigation timelines drastically, enhancing operational efficiency, and protecting customer trust across 20+ travel brands.My product mindset is shaped by a mix of strategic thinking and strong execution. I thrive in ambiguity, collaborate cross-functionally, and use data to guide prioritization and design. Whether it’s building 0→1 products or scaling platforms for global adoption, I aim to make every product decision meaningful to the end user.Here’s what I bring to the table:* 0→1 product development in complex, regulated spaces* Product-led growth through experimentation and telemetry* Security-first platform thinking* Cross-functional leadership across engineering, design, policy, and GTMI’m always open to conversations about building impactful products, especially in security, AI, and platform innovation. Let’s connect if you’re building in this space or want to exchange ideas and product learnings.

Experience

1. Product Manager Ii

   Microsoft

   May 2024 — Present · Hyderabad, IN

   Launched dark data discovery on endpoints for 400M+ PAU, scaling to 12B files; positioned as PAYG model to drive $25M MoM revenue. Introduced OCR-based classification for embedded images with 95% accuracy, unlocking detection of sensitive content in non-text formats, driving 14% revenue growth, 40% MoM usage, and projected to contribute 10%(~$5M) to annual revenue. Scaled platform limits by 30% to support 2× tenant growth across 500K+ seats, optimized 20+ DLP parameters and proposed 4× threshold increases based on telemetry-driven insights to improve detection precision and performance. Launched least privilege access for data security admins, enabling classified info control with 45% private preview adoption. Spearheaded policy authoring improvements to tackle -6 NPS and 50% drop-off, boosting task success (70%) and usability SEQ (4.6). Led red team exfiltration initiative; uncovered 71% unknown leakage paths & resolved 11 critical issues, strengthening security posture.

Education

• Indian Institute of Management, Lucknow

  Executive Programme in Data-Driven Product Management, Product Management

• Delhi University

  Bachelor of Commerce (B.Com.), International Business/Trade/Commerce

  2011 — 2014

• Guru Gobind Singh Indraprastha University

  Master of Business Administration (MBA), Information Technology and Marketing

  2015 — 2017