General Partner
Private Liquidity Partners
AeroLeads people directory · profile
Tim Converse Email & Phone Number
General Partner
at
Private Liquidity Partners
1 work email found
@adobe.com
10 phones found area 415, 650, 408, 312, and 773
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 100%
Current company
Role
General Partner
Location
San Francisco, California, United States
Who is Tim Converse? Overview
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Quick answer
Tim Converse is listed as General Partner at Private Liquidity Partners, based in San Francisco, California, United States. AeroLeads shows a work email signal at adobe.com, phone signal with area code 415, 650, 408, 312, 773, and a matched LinkedIn profile for Tim Converse.
Tim Converse previously worked as Angel Investor at Self and Advisor at Filtered.Ai. Tim Converse holds M.S., Computer Science from University Of Chicago.
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{first}.{last}@adobe.com
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Profile bio
About Tim Converse
I am a technologist and investor. Most of my career has been spent leading machine learning teams (Yahoo!, Bing, eBay, LinkedIn, Adobe, various startups). I also co-founded a mobile startup that was acquired by Yahoo! in 2013, and co-wrote an early PHP book (the PHP Bible series, published by Wiley).As an investor I am especially interested in the renewable energy transition, as well as machine learning applied to industries that have not yet been transformed by ML.
Listed skills include Machine Learning, Search, Algorithms, Scalability, and 24 others.
Current workplace
Tim Converse's current company
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12 roles
Tim Converse work experience
A career timeline built from the work history available for this profile.
Angel Investor
Current
Self
Angel investor in startup companies. I've invested in 40 companies since 2011. Selected investments: o Descartes Labs (Deep learning for satellite imagery) o idibon (Natural language processing) o Elemental LED (Green-tech lighting) o Allegiance (A Broadway musical) o Metaculus (Prediction aggregation) o Workflowy (Outlining/Productivity tool) o.
Jan 2011 - Present
Apr 2023 - Present
Advisor
CurrentDragonfruit AI is the industry’s first massively-scalable video AI platform
Nov 2022 - Present
Senior Director, Applied Machine Learning
Adobe
March 2021 - June 2022: Project lead on new ML-based imaging product.January 2018 - February 2021: Head of Applied Science and Machine Learning, Adobe Sensei.I led a team of engineers and researchers that collaborated with product and pure-research teams to build ML features into a wide variety of products across Adobe. Example projects included advanced.
Jan 2018 - Jun 2022
Director Of Engagement Relevance
I led the Relevance team at LinkedIn that was responsible for quality and data for most of the free member-facing features: Search, the homepage Feed, and Careers (job search and job recommendation). This is a team of about 60 engineers and applied scientists working with data, algorithms, and machine-learned models to make the experience of both the.
Feb 2016 - Jan 2018
Senior Director - Head Of Search Science Engineering
I led a team of ~50 data scientists and engineers dedicated to improving eBay's search engine.
Nov 2013 - Jan 2016
Co-Founder
Jybe (Yahoo!)
Jybe: I was one of the two co-founders of this six-person startup, which produced a mobile app for recommendation and social discovery. Jybe was acquired by Yahoo! in March 2013.Yahoo!: After the acquisition I was Science Lead for Personalization Ranking at Yahoo!, working on personalization techniques for the Yahoo! home page.
Jan 2011 - Oct 2013
Principal Development Manager
Powerset: I led a team of developers and linguists, measuring and improving the relevance of a new natural-language web search engine. Powerset was acquired by Microsoft in July 2008.Microsoft: I led an engineering team for Microsoft's Bing search engine at the San Francisco (Powerset) offices. My team was responsible for all back-end development on Bing.
Jan 2007 - Oct 2010
Engineering Manager
Software Engineer at Inktomi (April 2002 - March 2003), which was acquired to become the back end of Yahoo! Web Search. Continued with web-crawling engineering at Yahoo! through 2003.Then I managed the Content Classification group within Yahoo! Web Search (Jan 2004 - December 2006), supervising 7 engineers. Overall responsibility for the algorithmic.
Apr 2002 - Dec 2006
Author, Php Bible
Self-Employed
Co-author (with Joyce Park) of three editions of a reference and tutorial on the PHP web programming language: PHP 4 Bible (Hungry Minds Press, August 2000), PHP Bible, 2nd Ed (Wiley, September 2002), PHP5 and MySQL Bible.
Jul 1999 - Nov 2003
Mar 2000 - Dec 2001
2 education records
Tim Converse education
M.S., Computer Science
University Of Chicago
B.A, Mathematics
University Of Chicago
FAQ
Frequently asked questions about Tim Converse
Quick answers generated from the profile data available on this page.
What company does Tim Converse work for?
Tim Converse works for Private Liquidity Partners.
What is Tim Converse's role at Private Liquidity Partners?
Tim Converse is listed as General Partner at Private Liquidity Partners.
What is Tim Converse's email address?
AeroLeads has found 1 work email signal at @adobe.com for Tim Converse at Private Liquidity Partners.
What is Tim Converse's phone number?
AeroLeads has found 10 phone signal(s) with area code 415, 650, 408, 312, 773 for Tim Converse at Private Liquidity Partners.
Where is Tim Converse based?
Tim Converse is based in San Francisco, California, United States while working with Private Liquidity Partners.
What companies has Tim Converse worked for?
Tim Converse has worked for Private Liquidity Partners, Self, Filtered.Ai, Dragonfruit Ai, and Adobe.
How can I contact Tim Converse?
You can use AeroLeads to view verified contact signals for Tim Converse at Private Liquidity Partners, including work email, phone, and LinkedIn data when available.
What schools did Tim Converse attend?
Tim Converse holds M.S., Computer Science from University Of Chicago.
What skills is Tim Converse known for?
Tim Converse is listed with skills including Machine Learning, Search, Algorithms, Scalability, Distributed Systems, Hadoop, Big Data, and Information Retrieval.
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