Lead product vision, strategy, and execution for Advertiser Experience, focused on building scalable platforms for agencies, enterprise advertisers, and partners. Scope spans AI/ML-driven personalization, Business Manager platform evolution, and onboarding, with a focus on reducing friction, increasing advertiser sophistication, and enabling multi-client, multi-org growth in close partnership with Sales, GTM, and Partnerships.

• Built 0→1 AI/ML personalization and recommendations platform, defining product strategy, success metrics, and governance; partnered across Engineering, ML, and Data Science to establish experimentation frameworks, model iteration loops, and scalable delivery.

• Driving transformation of Business Manager into a unified Business Suite, enabling agency and enterprise multi-account, multi-org, and multi-client workflows across agencies, partners, retail media networks (RMNs), and large advertisers; aligning platform capabilities to diverse sales motions and partner ecosystems.

• Own end-to-end advertiser onboarding and activation, reducing time-to-value and unlocking adoption of advanced ad products through tight alignment across Product, Sales, GTM, and Partnerships.

• Led enterprise identity and access strategy, delivering SSO integrations (e.g., Amazon, Okta) and scalable permissioning systems to support complex organizational structures and security requirements.

• Operate as cross-functional product leader across multiple engineering and ML teams, driving multi-quarter roadmaps and aligning execution across Engineering, Data Science, Design, Sales, and GTM to deliver platform-level impact.

Lead the $600M+ AI/ML sourcing product suite powering 250K+ employers and 300M+ jobseekers globally.

• Scaled flagship SaaS offerings Smart Sourcing ($550M ARR) and Premium Matched Candidates ($50M ARR) with 10%+ YoY growth and 90%+ retention.

• Delivered intelligent recruiter workflows generating 10M+ monthly employer contacts at a sustained 30% positive response rate.

• Launched LLM/Generative AI capabilities including adaptive messaging, candidate representation models, and AI safety guardrails, driving double-digit lifts in engagement and trust.

• Designed enterprise monetization systems (seat-based, usage-based, and enterprise licensing) to expand deal sizes and improve renewal rates.

• Directed 10 PMs and 120+ cross-functional partners across Product, Data Science, Sales, and Engineering to accelerate GTM velocity.

• Recognition: Smart Sourcing featured in Forbes as Indeed’s largest launch.

Led global expansion of AI-driven sourcing products across 28 markets, improving employer-candidate connections through intelligent automation.

• Increased key platform metrics: +10% in active outreach volume, +8% in candidate response rate, +10% subscription engagement growth.

• Drove adoption of LLM-based recruiter personalization, semantic ranking, and real-time feedback loops for candidate matching.

• Introduced privacy-by-design and AI trust frameworks ensuring compliance for GDPR and emerging AI transparency standards.

• Built product org from 5 PMs to 70+ cross-functional contributors; instituted strategic roadmapping, QBRs, and executive demos.

• Partnered with C-suite to prioritize global rollout, accelerating time-to-market and platform adoption.

Directed the AI/ML search infrastructure powering Indeed’s sourcing and resume products for 345M+ professional profiles.

• Reduced ML deployment cycles from weeks to days and increased experimentation throughput by 25%+ monthly.

• Implemented ANN/DNN retrieval and LTR ranking pipelines, boosting profile discovery rates and platform retention.

• Unified search and recommendation systems across the marketplace, improving feature velocity and model refresh cadence.

• Scaled team from 1 to 4 PMs and 12 to 35 engineers; institutionalized experimentation governance and platform KPIs.

• Recognition: Talent MVP for platform excellence and measurable product growth.

Led Conversational AI and Search-as-a-Service platforms powering LinkedIn’s Help Center, enterprise support, and internal productivity tools.

• Launched LinkedIn’s first chatbot + NLU-as-a-Service, integrated into enterprise systems with NLP/LLM capabilities driving automation for thousands of employees.

• Replatformed enterprise multi-modal knowledge search with permission-aware AI retrieval and workplace discovery features across Confluence, Jira, Video, Image and Knowledge Graphs.

• Standardized NLU APIs used org-wide -- becoming the foundation for LinkedIn’s first AI Agent initiative.

• Partnered cross-functionally with IT and Support to streamline global operations; improved resolution times and employee satisfaction with digital self-service.

• Recognition: LinkedIn Engineering Impact finalist.