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David Murgatroyd Email & Phone Number

Engineering Lead (Director, AI Eng) at Spotify
Location: Greater Boston, United States, United States 17 work roles 4 schools
1 work email found @spotify.com 3 phones found area 781 and 617 LinkedIn matched
4 data sources Profile completeness 100%

Contact Signals · 1 work email · 3 phones

Work email d****@spotify.com
Direct phone (781) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Engineering Lead (Director, AI Eng)
Location
Greater Boston, United States, United States
Company size

Who is David Murgatroyd? Overview

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Quick answer

David Murgatroyd is listed as Engineering Lead (Director, AI Eng) at Spotify, a company with 17003 employees, based in Greater Boston, United States, United States. AeroLeads shows a work email signal at spotify.com, phone signal with area code 781, 617, and a matched LinkedIn profile for David Murgatroyd.

David Murgatroyd previously worked as Engineering Lead (Director, ML Eng) at Spotify and Engineering Lead (Sr Eng Mgr) at Spotify. David Murgatroyd holds Master Of Philosphy, Computer Speech And Language Processing from University Of Cambridge.

Company email context

Email format at Spotify

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*@spotify.com
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AeroLeads found 1 current-domain work email signal for David Murgatroyd. Compare company email patterns before reaching out.

Profile bio

About David Murgatroyd

I love giving leadership to people, ideas, and technology that together empower meaningful experiences to improve lives.

Listed skills include Natural Language Processing, Machine Learning, Text Analytics, Information Retrieval, and 45 others.

Current workplace

David Murgatroyd's current company

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Spotify
Spotify
Engineering Lead (Director, AI Eng)
Boston, MA, US
Website
Employees
17003
AeroLeads page
17 roles

David Murgatroyd work experience

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

Engineering Lead (Director, Ai Eng)

Boston, MA, US

Engineering Lead (Director, Ml Eng)

Current

Stockholm, Stockholm County, SE

I give leadership to a wonderful team of folks — be they engineer, manager, or senior manager — that provides the foundation of Spotify’s personalization via state of the art recommender systems. Our understanding of listeners like you and the audio you love helps power your favorite features from DJ and Genre Mixes to Home, Search and beyond, connecting.

Feb 2021 - Present

Engineering Lead (Sr Eng Mgr)

Stockholm, Stockholm County, SE

I gave engineering leadership to Spotify’s Personalization Platform.

Oct 2018 - Feb 2021

Machine Learning Chapter Lead

Stockholm, Stockholm County, SE

I gave leadership to a great group of folks analyzing usage, text, speech interactions, and of course music for an even more relevant and personal Spotify experience. I also was the first leader for aligning machine learning efforts across all of Spotify.

Nov 2016 - Oct 2018

Vp, Engineering

Somerville, Massachusetts, US

Basis brings world-class NLP to anybody's data. Its technology powers a wide variety of high-scale applications.I gave leadership to a great group of engineering teams who released an ever-expanding inventory of NLP capabilities both as a service and on premise, dozens of times each quarter to some of the most demanding customers around the world (e.g..

Dec 2011 - Nov 2016

Director Of Engineering / Software Architect

Somerville, Massachusetts, US

Led teams responsible for Apps, SDKs, and Applied NLP Research.

Mar 2008 - Dec 2011

Principal Software Engineer

Somerville, Massachusetts, US

Designed and developed Basis's name matching and translation products, first individually and then as a team lead.

Jul 2005 - Mar 2008

Character Architect (Natural Language)

Zoesis Studios
Apr 2003 - Dec 2004

Principal/Senior Speech Software Engineer

Wildfire Communications, Inc
Oct 2001 - Apr 2003

Speech Software Engineer

Iconverse
Oct 2000 - Sep 2001

Intern

Houston, Texas, US

May 1997 - May 1998

Software Intern

Richardson, Texas, US

Investigated and implemented algorithms for 4-coloring planar graphs.

May 1994 - Aug 1994
Team & coworkers

Colleagues at Spotify

Other employees you can reach at spotify.com. View company contacts for 17003 employees →

4 education records

David Murgatroyd education

Master Of Philosphy, Computer Speech And Language Processing

University Of Cambridge

Bachelor Of Science, Computer Science

Rice University

Bachelor Of Arts, Computational And Applied Mathematics

Rice University

High School Diploma

Trinity High School
FAQ

Frequently asked questions about David Murgatroyd

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

What company does David Murgatroyd work for?

David Murgatroyd works for Spotify.

What is David Murgatroyd's role at Spotify?

David Murgatroyd is listed as Engineering Lead (Director, AI Eng) at Spotify.

What is David Murgatroyd's email address?

AeroLeads has found 1 work email signal at @spotify.com for David Murgatroyd at Spotify.

What is David Murgatroyd's phone number?

AeroLeads has found 3 phone signal(s) with area code 781, 617 for David Murgatroyd at Spotify.

Where is David Murgatroyd based?

David Murgatroyd is based in Greater Boston, United States, United States while working with Spotify.

What companies has David Murgatroyd worked for?

David Murgatroyd has worked for Spotify, Basis Technology, Unveil Technologies, Zoesis Studios, and Wildfire Communications, Inc.

Who are David Murgatroyd's colleagues at Spotify?

David Murgatroyd's colleagues at Spotify include Yu Bai, Gal Reyes, Lejla Shabani, Patty Santa Cruz, and Bernd H..

How can I contact David Murgatroyd?

You can use AeroLeads to view verified contact signals for David Murgatroyd at Spotify, including work email, phone, and LinkedIn data when available.

What schools did David Murgatroyd attend?

David Murgatroyd holds Master Of Philosphy, Computer Speech And Language Processing from University Of Cambridge.

What skills is David Murgatroyd known for?

David Murgatroyd is listed with skills including Natural Language Processing, Machine Learning, Text Analytics, Information Retrieval, Algorithms, Big Data, Computational Linguistics, and Agile Methodologies.

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