Tulsee Doshi

CEO

Stanford, California, United States18 yrs 1 mo experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Forbes 30 under 30 in 2022
  • Led product strategy for Gemini Model at Google
  • Expert in AI Ethics and machine learning products
Stackforce AI infers this person is a Product Leader specializing in AI and Machine Learning across various industries.

Contact

LinkedIn

Skills

Core Skills

Product StrategyAi EthicsProduct ManagementUser Experience ResearchTeachingData AnalysisResearch

Other Skills

Machine LearningCross-functional LeadershipUser-Centric DesignPrototypingProgrammingCHTMLJavaC++User Experience DesignUser Experience TestingRuby on RailsHTML 5CSS3JavaScript

About

Leading product strategy for Gemini Model -- Google's frontier multimodal models -- powering dozen of Google product experiences, and developer / enterprise innovations across the globe! Additionally, AI Ethics Advisor to Lemonade Insurance. Forbes 30 under 30 2022 | Previously, Head of Product for Google's Responsible AI & Human-Centered Technology Organization. Expertise in product management for machine-learning products, with a strong expertise in AI Ethics in policy & product development.

Experience

18 yrs 1 mo
Total Experience
2 yrs 4 mos
Average Tenure
5 yrs 1 mo
Current Experience

Google

4 roles

Sr. Director & Product Lead, GenAI & Gemini Models

Jun 2024 – Present · 2 yrs

  • Leading product for Google's frontier multimodal models, including Gemini, Veo, and Imagen
Product ManagementAI EthicsMachine LearningProduct Strategy

Director & Head of Product - Responsible AI

Promoted

Jun 2018 – Jun 2024 · 6 yrs

  • Leading a cross-functional effort across Google products to understand & improve fairness, inclusivity, safety, and transparency in our algorithms.
  • Have led over two dozen critical launches in Google products; partner with product teams, engineering, policy, & governance efforts to develop tools, best practices and approaches to enable ethical development at scale. Manage an org of 10 PMs, supporting over 200 engineers across Google.
  • Previously built and led Google’s product efforts specifically in ML Fairness.
Product ManagementAI EthicsCross-functional LeadershipProduct Strategy

Associate Product Manager

Aug 2015 – Jun 2016 · 10 mos · Mountain View

  • Building and scaling features within Search to provide more locally relevant answers all around the world
Product ManagementUser Experience Research

Associate Product Management Intern

Jun 2014 – Sep 2014 · 3 mos · Zurich, Switzerland

  • Independently conducted UX research, designed, and drove consensus around a new filtering feature for Adwords Shopping
  • Defined engineering strategy in order to successfully migrate 20% of shopping revenue, from complex campaign structures, to the recently launched new version of Shopping Product Listing Ads
  • Worked with Engineering and Cross-Functional Teams to define and design future features and vision for AW Front End
User Experience ResearchPrototyping

Lemonade

AI Ethics & Fairness Advisor

May 2021 – Present · 5 yrs 1 mo

  • Advising Lemonade in the company's efforts to build more equitable, transparent, user-centric insurance, and reviewing + improving the company’s use of AI
AI EthicsUser-Centric Design

Product school

Instructor

Dec 2020 – May 2021 · 5 mos

  • Teaching 8-week long Product Leadership Course
Product ManagementTeaching

Youtube

Product Manager

Jun 2016 – Jul 2018 · 2 yrs 1 mo · San Francisco Bay Area

  • Product manager leading:
  • YouTube's efforts in inclusive machine learning and creator diversity
  • Exploration and Diversity in YouTube recommendations
Product ManagementMachine LearningProduct Strategy

Stanford university

2 roles

Stanford HCI Lab Research Assistant

Jan 2014 – Jun 2015 · 1 yr 5 mos · Stanford, CA

  • Worked with Michael Bernstein and the Stanford HCI Lab.
  • Won Best Paper Award for paper submitted to the 27th Annual User Interface Software and Technology Symposium (UIST 2014)
  • Built an awareness interface, called Foundry, to facilitate the crowdsourcing of experts, using Ruby on Rails and D3.js
  • Currently expanding notion of expert crowdsourcing to a broader research project re: crowdsourcing of large-scale organizations
User Experience ResearchPrototyping

Section Leader

Apr 2013 – Jun 2015 · 2 yrs 2 mos · Stanford, CA

  • Prepare and lead a section of 12 students in CS 106A (Stanford's introductory course)
  • Cover topics such as good programming practices, functions and variable use, strings, arrays, and abstract data types
  • Provide feedback and grade student assignments and exams
TeachingProgramming

Apple

Intern in Product & Operations

Jun 2013 – Jan 2014 · 7 mos · Cupertino, CA

  • Worked with Engineering, Operations, and Business teams to manage and define vision and strategy for iBooks Recommendations and Search features
  • Utilized machine learning and text analysis principles to research improved relevance for store features
  • Conducted A/B tests and analytic comparisons between third party and iTunes algorithms for Recommendations and Search
  • Created functional specs and documentation for content delivery tools
Product ManagementMachine Learning

Transformative learning technologies lab (tltl)

Undergraduate Researcher

Jan 2012 – Jun 2012 · 5 mos · Stanford University

  • Analyzed research data with respect to knowledge about technology in high school students, and used the data to prototype products with the goal of enhancing understanding about daily technologies
  • Worked as webmaster to reorganize and refurbish the lab website
Data AnalysisPrototyping

Intel corporation

Intern in the Interaction Experiences and Research Lab

Aug 2011 – Mar 2013 · 1 yr 7 mos

  • Conducted user experience research and analysis for IXR and independent partners in the automotive space
  • Created recommendations and redesign prototypes for IXR based upon user experience understandings
  • Rapidly prototyped five distinct in-car technologies using interactive HTML5 and paper prototype models
User Experience ResearchPrototyping

Ohsu

Research Assistant

Jan 2008 – Jul 2011 · 3 yrs 6 mos · Portland, OR

  • Published three papers based on the research in the International Journal of Radiation Oncology, Biology, and Physics
  • Conducted research related to inter and intra fractional movement of prostate and lung cancer tumors
ResearchData Analysis

Education

Stanford University

Master of Science - MS — Artificial Intelligence

Stanford University

Bachelor's Degree — Symbolic Systems

University of Oxford

Philosophy of Technology and Artificial Intelligence

Jesuit High School

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