Haritha T
Building impactful products — powered by insight, driven by AI.
Product Manager with 6+ years building customer-centric AI-powered digital products — delivering $50M+ in revenue impact. Known for workflow optimization, AI-driven transformation and shipping scalable solutions that drive adoption, efficiency and business outcomes.
Case Studies
Real problems. Real decisions. Real impact.
A GenAI-powered recommendation engine delivering real-time sales guidance to 270+ agents across 125K+ monthly calls.
A 0→1 digital co-browsing approval platform enabling agents and customers to review and sign orders in real time.
Built an enterprise-grade internal data marketplace from the ground up — governed data discovery at scale.
Automated extraction of business logic from legacy insurance code into low-code governed decision models.
What I've Built
Products I can do again — and do better.
My Product Philosophy
The principles that guide every product decision I make.
Sales reps had access to customer data but conversion wasn't improving. Discovered reps weren't lacking data — they lacked the right insight at the right moment. Shifted from a reporting tool to a real-time recommendation engine.
Stakeholders wanted to launch AI metadata automation broadly from day one. Pushed back — automating poor-quality metadata at scale would amplify distrust, not solve it. Prioritized governance standards first, then automation.
Platform had 15 engagement metrics post-launch. Identified that session-to-search conversion was the one metric that predicted long-term retention. Focused the entire next quarter's roadmap on that single number.
Requested feature was a better search bar. Traced the problem upstream — metadata quality was inconsistent, making any search improvement temporary. Fixed the pipeline first, then rebuilt search on a trusted foundation.
How I Get Things Done
The operating principles I bring to every team and every product.
Used ROI and change impact scoring to prioritize the GTM roadmap — cut planning cycles by 40% by deprioritizing 3 low-impact features.
Ran Voice of Customer sessions post-launch — uncovered that 35% of drop-offs were driven by a single unclear billing disclosure. Fixed in the next sprint.
Replaced activity-based sprint reviews with outcome-based KPI dashboards — reduced review prep effort by 50%.
Replaced manual metadata tagging with GenAI automation — 85% reduction in manual effort across millions of assets.
Insisted on A/B testing the digital approval flow before full rollout — the winning variant outperformed control by 22%.
Automated data quality and governance end-to-end — 60% operational overhead reduction without adding headcount.
Where I've Worked
Building products that matter across enterprise and SaaS.
- Led GenAI-powered recommendation engine for 270+ B2B agents — $34.6M revenue impact
- Built View Together (0→1) — 477K interactions, $5.1M cost savings
- Owned Data Marketplace — 45% adoption growth, 85% manual effort reduced
- Automated logic extraction from legacy insurance code — 60% faster time-to-market
- 70%+ operational efficiency gains, 90% reduction in manual rule management
- Eliminated 65% of engineering dependency for business rule changes
Education & Certifications
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