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Tam Le Email & Phone Number

Founder, AI and Data Partner, Head of US Operations at Tbrain.AI
Location: San Francisco, California, United States 19 work roles 2 schools
1 work email found @asana.com 2 phones found area 510 and 650 LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 2 phones

Work email t****@asana.com
Direct phone (510) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Founder, AI and Data Partner, Head of US Operations
Location
San Francisco, California, United States
Company size

Who is Tam Le? Overview

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Quick answer

Tam Le is listed as Founder, AI and Data Partner, Head of US Operations at Tbrain.AI, a company with 12 employees, based in San Francisco, California, United States. AeroLeads shows a work email signal at asana.com, phone signal with area code 510, 650, and a matched LinkedIn profile for Tam Le.

Tam Le previously worked as Founding AI & Data Partner, Head of US Operations at Tbrain.Ai and Board Member, Fractional GTM Data Head / CMO at Cyobot. Tam Le holds Master Of Science (Ms), Managerial Economics And Decision Science from Northwestern University - Kellogg School Of Management.

Company email context

Email format at Tbrain.AI

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{first}@asana.com
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Profile bio

About Tam Le

Business Analytics Leader with 15+ years of experience in scaling analytics functions for big-tech and pre-IPO companies, driving strategic initiatives, and enhancing data-driven decision-making across cross-functional teams. Proven track record in delivering impactful insights in B2B SaaS and customer-facing industries, including Asana, Google, and Adobe. Expertise spans from 0-1 product development to scaling robust analytics infrastructures.Adept at aligning business strategy with analytics initiatives, driving operational efficiency, and leading teams toward innovation and data-driven decision-making.Led multiple entrepreneurial ventures, developing and scaling innovative products across education, AI, and technology sectors. Successfully executed go-to-market strategies, led cross-functional teams, and delivered measurable business growth.โ— ๐’๐ญ๐ซ๐š๐ญ๐ž๐ ๐ข๐œ ๐€๐ง๐š๐ฅ๐ฒ๐ญ๐ข๐œ๐ฌ: Created centralized analytics functions, unifying reporting frameworks, enhancing data accuracy, and driving cross-departmental alignment.โ— ๐๐ฎ๐ฌ๐ข๐ง๐ž๐ฌ๐ฌ ๐’๐ญ๐ซ๐š๐ญ๐ž๐ ๐ฒ: Influenced strategic investments and restructuring through executive briefings on KPIs and performance metrics, driving corrective actions.โ— ๐’๐š๐ฅ๐ž๐ฌ ๐„๐ง๐š๐›๐ฅ๐ž๐ฆ๐ž๐ง๐ญ: Supported Googleโ€™s multi-billion-dollar DoubleClick business with insights that shaped go-to-market strategies for 200+ sales professionals, driving major wins and customer retention.โ— ๐„๐ฆ๐ž๐ซ๐ ๐ข๐ง๐  ๐“๐ž๐œ๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐ž๐ฌ: Pioneered adoption of technologies like LLM/GenAI, automating data extraction and creating real-time business insight tools, positioning organizations at the forefront of AI-driven operations.โ— ๐๐ฎ๐ฌ๐ข๐ง๐ž๐ฌ๐ฌ ๐†๐ซ๐จ๐ฐ๐ญ๐ก & ๐’๐œ๐š๐ฅ๐š๐›๐ข๐ฅ๐ข๐ญ๐ฒ: Contributed to the rapid growth of Healthline, supporting 50% YoY traffic increase, and implemented strategies at Turing that drove growth and profitability.โ— ๐‚๐ซ๐จ๐ฌ๐ฌ-๐Ÿ๐ฎ๐ง๐œ๐ญ๐ข๐จ๐ง๐š๐ฅ ๐‚๐จ๐ฅ๐ฅ๐š๐›๐จ๐ซ๐š๐ญ๐ข๐จ๐ง: Led teams across Marketing, Product, and Finance, streamlining processes and promoting a data-driven culture.Active in the global tech community, speaking at conferences like SXSW, mentoring at events such as the Hajj Hackathon, and contributing to publications like Chatbots Magazine. Also support startups in Southeast Asia, including the Sumi AI chatbot project, and run a Vietnamese music YouTube channel with 70K+ subscribers and 30M+ views (youtube.com/@tinywrist - give it a listen!)

Listed skills include Analytics, Statistical Modeling, Data Analysis, Data Mining, and 14 others.

Current workplace

Tam Le's current company

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Tbrain.AI
Tbrain.Ai
Founder, AI and Data Partner, Head of US Operations
San Francisco, CA, US
Website
Employees
12
AeroLeads page
19 roles

Tam Le work experience

A career timeline built from the work history available for this profile.

Founder, Ai And Data Partner, Head Of Us Operations

San Francisco, CA, US

Founding Ai & Data Partner, Head Of Us Operations

Current

Tbrain is an agency focused on delivering high-quality, cost-effective data labeling and training services for AI. Leveraging a team of skilled, on-site professionals offshore and a U.S. office to support client communication, we specialize in providing data solutions across coding, data science, mathematics, finance, and moreโ€”all with consistent quality.

Aug 2024 - Present

Board Member, Fractional Gtm Data Head / Cmo

Current
Aug 2024 - Present

Advisory Board Member

Current

San Francisco, California, US

Sep 2022 - Present

Head Of Business Analytics

Palo Alto, California, US

Reported directly to the CFO and part of the Senior Leadership group. Tasked with establishing a centralized analytics function to align cross-functional teams on key metrics, drive strategic initiatives, and improve operational efficiency. Created a unified reporting framework to standardize definitions for key metrics such as revenue and developer.

Dec 2022 - Jul 2024

Head Of Business Analytics

San Francisco, California, US

  • I lead the Business Analytics pillar of the Strategic Business and Operations department (reporting up to the COO.) We are responsible for:
  • Analytical framework & execution of key performance metrics reporting (QBR, MBR, weekly performance, etc.) (visualization in Looker/Tableau, data pipeline planning in Snowflake/Redshift)
  • Strategic insights which help the company set goals and and 2-5 years' roadmap such as monitoring and designing metrics to track our growth and market penetration rate, analysis of our top customers.
  • Alignment of cross functional data leadership on such topics as tooling and data infrastructure, data governance, enabling the Data & Analytics org to scale effectively. Example: the team developed a forecasting and.
Dec 2020 - Nov 2022

Director Of Business Intelligence / Director Of Analytics

New York, NY, US

I lead Data & Analytics for one of the biggest health media networks in the world!! In 2020, we became Comscore's No 1 health media property (and a Top 50 site), with 90M monthly active users.Our Business Intelligence team supports a full spectrum of business needs, from Sales, Product, to Marketing. We work closely with Engineering to build stable data.

Aug 2018 - Dec 2020

Managing Editor

Vietnambot

Community for developers and brands to work on Chatbots, AI, NLP, Alexa/Google Home/Messenger/Slack/Telegram/Discord/Kik/Skype - We provide insights and education for the Vietnamese market, please check us out at www.vietnambot.com

Jan 2017 - Apr 2020

Startup Success Manager

Mountain View, CA, US

Manage startup relationship with Google & mentors during Launchpad program; typical startups come from Southeast Asia (Thailand, Indonesia, Vietnam), many have earned 2x more money after the program

Jul 2017 - Jul 2018

Sales Operations Analytics

Mountain View, CA, US

  • Partner with global and regional Sales leadership to define go-to-market strategies, such as client segmentation for a new feature launch, or customer success team structure to achieve efficiency results
  • Propose & implement Sales metrics, develop data infrastructure and tools to support a large sales organization with more than 200 people driving billion dollar business, growing at 100% YoY
  • Google products covered: DoubleClick Bid Manager (DBM), DoubleClick Campaign Manager (DCM), analyses built with internal Google tools, R, Data Studio and BigQuery
Oct 2016 - Jul 2018

Programmatic Insights Lead

Mountain View, CA, US

Create analytical insights to empower brands using programmatic marketing

Oct 2015 - Sep 2016

Writer

Chatbots Magazine
Sep 2016 - 2017

Expert In Residence, Analytics

New York, NY, US

Support students taking Analytics class in San Francisco campus; Hold office hours and provide guidance with various tools (Excel, SQL, Tableau) [this is a part-time commitment]

Jul 2015 - Mar 2016

Head Of Client Delivery, Marketing Mix (Mmx) - Analytics Product For Budget Optimization

San Jose, CA, US

  • Lead all client relationships for MMX, a pre-launched app belonging to Adobe Marketing Cloud, to optimize marketing budget, resulting in 100% early access program retention rate:
  • Help clients ingest data into our tool, and set up marketing plans and KPI's;
  • Make recommendations for media allocation and overall advertising strategies;
  • Work closely with Product team on roadmap and product prioritization;
  • Manage internal timeline and deliverables across a distributed team of engineers and analysts in different locations (S.F./Salt Lake City/London/Mumbai);
  • Side project: evaluating programmatic algorithms on Adobe Media Optimizer tool for Search and Display.
Nov 2014 - Sep 2015

Adjunct Faculty Member

Joliet, Illinois, US

  • Teach "Introduction to Data Mining" MBA640Z for the online MBA program:
  • 10 week course covering the basics of understanding statistics and how to run statistical models. We use "An Introduction to Statistical Learning" as the textbook, and cover linear regression, decision trees, and.
  • Students carry out actual projects to solve real-life work problems
Jul 2014 - Jul 2015

Director, Analytics

New York, NY, US

  • Lead an analytical team to support 30+ media planners and operators, managing a $400MM+ annual advertising budget:
  • Implement in-house marketing mix models to evaluate campaign effectiveness, ROIโ€™s, and what-if scenarios;
  • Identify key audience to target and media buy opportunities via behavioral panel data;
  • Automate campaign reporting and media planning tools;
  • Partner with various vendors (TV, display, offline & social networks) on brand lift studies, viewability, and mobile/location research.
  • Clients: beer & mattress
May 2013 - Sep 2014

Senior Analytics Consultant

US

  • Develop econometric models to quantify marketing and pricing strategies for large CPG and Fortune 500 companies:
  • Marketing Mix Models: evaluate marketing ROI/effectiveness across different channels, identify key sales drivers, and propose a budget optimized for the maximum revenue/profit
  • Pricing Models: estimate sales response to changes in price; and make recommendation for product pricing strategy as a result
  • Market Basket Analysis: analyze how product bundling works, and simplify product offerings while maintaining similar levels of revenue/profit
  • Clients: beauty, CPG canned vegetables and fruits, pet food;
  • Data sets: UPC and grocery stores' scanner data (Nielsen/IRI), coupon distribution and redemption (Catalina, Valassis), media flowcharts and ratings (Omniture, Nielsen ratings for TV);
Oct 2010 - May 2013

Demand Planning Analyst

Chicago, Illinois, US

  • Manage sales forecasts for an international fast-food chain: produce daily predictions for more than 200 menu items at approximately 600 restaurant locations in the US
  • Analysis done in SAS/SQL
Mar 2010 - Oct 2010

Associate Analyst

New York, NY, US

  • Analyze and estimate the monetary impact of disputed economic actions in lawsuits, such as monopoly, anti-competitive pricing practice, and patent infringement;
  • Industries covered: pharmaceuticals, semiconductors, fishing, medical devices, computer software and hardware, retailing, beer, cereals, paperboard, and graphite and carbon products
  • Biggest case: Bard awarded $185MM from Gore on stent and vascular grafts infringement
  • Code written in: Stata, Excel
Jul 2006 - Jul 2008
2 education records

Tam Le education

Master Of Science (Ms), Managerial Economics And Decision Science

Northwestern University - Kellogg School Of Management

Bachelor Of Arts (Ba), Economics (Major), Applied Math (Minor)

Smith College
FAQ

Frequently asked questions about Tam Le

Quick answers generated from the profile data available on this page.

What company does Tam Le work for?

Tam Le works for Tbrain.AI.

What is Tam Le's role at Tbrain.AI?

Tam Le is listed as Founder, AI and Data Partner, Head of US Operations at Tbrain.AI.

What is Tam Le's email address?

AeroLeads has found 1 work email signal at @asana.com for Tam Le at Tbrain.AI.

What is Tam Le's phone number?

AeroLeads has found 2 phone signal(s) with area code 510, 650 for Tam Le at Tbrain.AI.

Where is Tam Le based?

Tam Le is based in San Francisco, California, United States while working with Tbrain.AI.

What companies has Tam Le worked for?

Tam Le has worked for Tbrain.Ai, Cyobot, Modal, Turing, and Asana.

How can I contact Tam Le?

You can use AeroLeads to view verified contact signals for Tam Le at Tbrain.AI, including work email, phone, and LinkedIn data when available.

What schools did Tam Le attend?

Tam Le holds Master Of Science (Ms), Managerial Economics And Decision Science from Northwestern University - Kellogg School Of Management.

What skills is Tam Le known for?

Tam Le is listed with skills including Analytics, Statistical Modeling, Data Analysis, Data Mining, Econometrics, Sas, Marketing Strategy, and Analysis.

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