- Role
- Lead Product Manager
- Based in
- San Francisco Bay Area
- Experience
- 10+ years in product
- Availability
- Open to Lead PM roles in AI-powered shopping, search and discovery, in the SF Bay Area or remote.
I turn customer reviews and marketplace signals into AI that helps people buy with confidence, in shopping and travel.
I'm a Lead Product Manager at TikTok, where I own the global shopping evaluation roadmap and work hands-on with ML engineers on generative AI for reviews and recommendations. Before that I spent three and a half years on hotel, flight and cruise search at Expedia Group, after building supply-chain products at a startup.
Outcomes
- Where
- TikTok
- When
- 2023–present
- Role
- Lead PM, owned roadmap
- Basis
- Cumulative, relative change. Absolute values confidential.
Gross merchandise value, TikTok Shop
Cumulative: +2.3% from generative AI review ranking, +1.5% from review insights, both on multi-modal LLMs. I defined the prompts, success metrics and evaluation loop with ML engineers, and diagnosed ranking failures by hand.
- Where
- Expedia Group
- When
- 2020 → 2021
- Role
- PM, owned roadmap
- Basis
- Indexed to the prior year. Absolute values confidential.
Customer retention, opaque hotels
I ran cohort analysis to find where repeat engagement broke down, then set the acquisition and activation roadmap around what it showed.
- Where
- Elementum
- When
- 2017–20
- Role
- PM, founding team
- Basis
- For a single client; not a portfolio-wide figure.
Expedite and handling costs
Automated anomaly detection and fallback orders, triggered by supplier misses and disruptions, for a single enterprise client. Built from scratch as a founding member of Elementum's Product Availability suite. Unplanned stockouts and manual escalations fell 23%.
Selected work
-
Generative AI
TikTok Shop
2023–present
Turning low-effort shopper reviews into a signal people trust enough to buy on
Multi-modal LLM review ranking, summaries and insights, built with ML engineers on an evaluation pipeline grounded in hand-diagnosed ranking failures.
+3.83% GMV, −3.54 pts size-related returns
-
Retention
Expedia Group
2020–22
Getting opaque-hotel customers to come back when repeat engagement was low
Cohort analysis to find where repeat engagement broke down, then an acquisition and activation roadmap built on it.
2× customer retention, year over year
The deal-match screen: the same 4-star Union Square hotel, priced lower when its name stays hidden until booking. -
0→1, enterprise
Elementum
2017–20
Catching supplier misses before they became stockouts for enterprise CPG brands
Automated anomaly detection and fallback orders, built from scratch as a founding member of the Product Availability suite.
$8.1M saved for one client, 23% fewer stockouts
The network view: how far out a shortage will hit, and how much demand is at risk, before it becomes a stockout.
The item-level detail a fallback order gets triggered from.
Also shipped
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TikTok
2023–presentAgentic review follow-up. An LLM-driven workflow that turns low-effort reviews into detailed, decision-useful ones. Average review depth rose 36.4% while review incentive spend fell 12%.
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TikTok
2023–presentAI review-writing guidance. Guidance that helps shoppers write reviews other shoppers can use, with better-targeted incentives. Useful-review coverage on key products rose 0.7% and GMV rose 1.1%.
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TikTok
2023–presentCart-bundling recommendations. Product recommendations built on retrieval, embedding analysis and behavioural signals. Average order value grew 1.3×.
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TikTok
2023–presentEuropean product-page launches. Launched compliance and safety details on the product page across 16 European countries (excluding the UK), scoping constraints with legal, safety, suppliers and marketing. User engagement rose 0.7%.
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Expedia
2022–23Cruise search and evaluate revamp. Rebuilt cruise search around structured content. Churn fell 5.1% and conversion rose 4.3% year over year.
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Expedia
2022–23Flight search ranking. ML ranking models for flight search, where I worked with data science on the objective function and constraint trade-offs. Conversion rose 3.21%.
The recommended-flights view the ranking model feeds. -
Expedia
2022–23Review-based hotel classifier. A multilabel classifier trained on customer reviews to categorise supply for search and comparison. Click-through rose 5.7% and conversion 1.09%.
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Expedia
2022–23Recommended hotels. Hotel recommendations rebuilt for better match quality. Revenue per user grew 1.5×.
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Expedia
2020–21Map-based hotel search. Search UX built around an interactive map, for better supply and demand matching. Conversion rose 2.7%.
Selecting a neighbourhood to search by area rather than by hotel name. -
Expedia
2020–21Opaque hotels on Trivago. A new acquisition placement for opaque hotels on Trivago metasearch. Transactions grew 11% year over year.
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Elementum
2017–20Cross-industry feature set. Use-case discovery across industries, a pitch to the C-suite, and adoption across the customer base. Daily active users rose 9%, licensing revenue 31% and NPS 17 points.
Contact
- Availability
- Open to Lead PM roles in AI-powered shopping, search and discovery, in the SF Bay Area or remote.
- Work rights
- US permanent resident. No visa sponsorship needed.