Please complete the CAPTCHA to continue
@spotify.com
✓
4 phones found area 914, 978, 252, and 186
✓
LinkedIn matched
A concise factual answer block for searchers comparing this professional profile.
Mike Seid is listed as Engineering Lead - Machine Learning Platform at Spotify. Passionate about Transformative Technology, High Performing Teams and Delivering Business Value. at Spotify, a company with 1 employees, based in New York, New York, United States. AeroLeads shows a work email signal at spotify.com, phone signal with area code 914, 978, 252, 186, and a matched LinkedIn profile for Mike Seid.
Mike Seid previously worked as Product Area Tech Lead - Machine Learning Platform at Spotify and Engineering Manager - Machine Learning Platform at Spotify. Mike Seid studied at Y Combinator.
This section adds company-level context without repeating Mike Seid's masked contact details.
AeroLeads found 1 current-domain work email signal for Mike Seid. Compare company email patterns before reaching out.
Engineering leader with 10+ years of experience in engineering management and high scale systems. Passion for building teams, solving challenging problems and building clean user experiences. Key Strengths include:• Technical Leadership, Recruiting and Mentoring• Reactive, Distributed Systems• System Architecture and Framework Development• Project Management
Listed skills include Python, Matlab, Java, Xml, and 12 others.
Company context helps verify the profile and gives searchers a useful next step.
A career timeline built from the work history available for this profile.
Stockholm, Stockholm County, SE
Mike is the Tech Lead for the Machine Learning Platform at Spotify, where he defines the technical strategy and oversees the delivery of the Hendrix built by a team of 45. His leadership is focused on driving innovation and collaboration within the engineering teams to build modern ML development experiences for over 300 ML practitioners at Spotify. By.
Mclean, VA, US
Building the Capital One Feature Platform. The Feature Platform is the enterprise data platform to compute, serve and register features for use in Machine Learning models. Data scientists and data analysts throughout Capital One leverage the Feature Platform to compute their derived data for their business need. Key responsibilities:* Design, Architecture.
San Francisco, California, US
Naytev optimizes how content is shared on Social. By answers the questions of how your content performed across all Social Media platforms, Facebook, Instagram, Twitter, LinkedIn and Pinterest, Naytev empowers teams to make smart decisions on what content to post, when to post and who the audience should be. Use by top brands and publishers like Vice News.
Washington, DC, US
Kicking the NPR experience to the next level. Creating great front end experiences. Providing a platform to tell stories and the events in the news.Responsible for:* New responsive homepage* Responsive emails, delivering custom digest emails depending on subscriptions* Internal Social Media Dashboard* Custom Ad Unit on npr.org homepage
Mclean, VA, US
Developed web applications for government clients. Ranging from Federal Government websites to internal analytics dashboards, I created solutions to tackle the needs of the US Government.Received award for Outstanding Performance for the Policy Mapping dashboard.
Other employees you can reach at spotify.com. View company contacts for 1 employees →
Louisa Ferguson
Colleague at Spotify
New York City Metropolitan Area, United States, United States
View →
ML
Melanie Lugo
Colleague at Spotify
New York, New York, United States, United States
View →
LH
Linda Han
Colleague at Spotify
New York City Metropolitan Area, United States, United States
View →
MH
Muhammad Husni
Colleague at Spotify
Pekanbaru, Riau, Indonesia, Indonesia
View →
KC
Kevin Cureghian
Colleague at Spotify
Los Angeles, California, United States, United States
View →
SE
Sebastian Ewert
Colleague at Spotify
Berlin, Berlin, Germany, Germany
View →
KA
Kara Ali Goldsmith
Colleague at Spotify
New York, New York, United States, United States
View →
NC
Naomi Chapman
Colleague at Spotify
Manchester, England, United Kingdom, United Kingdom
View →
BM
Barry Mcguire
Colleague at Spotify
Drogheda, Ireland, Ireland
View →
MS
Michael Stein
Colleague at Spotify
Stockholm, Stockholm County, Sweden, Sweden
View →
Quick answers generated from the profile data available on this page.
Mike Seid works for Spotify.
Mike Seid is listed as Engineering Lead - Machine Learning Platform at Spotify. Passionate about Transformative Technology, High Performing Teams and Delivering Business Value. at Spotify.
AeroLeads has found 1 work email signal at @spotify.com for Mike Seid at Spotify.
AeroLeads has found 4 phone signal(s) with area code 914, 978, 252, 186 for Mike Seid at Spotify.
Mike Seid is based in New York, New York, United States while working with Spotify.
Mike Seid has worked for Spotify, Capital One, Naytev, Npr, and Booz Allen Hamilton.
Mike Seid's colleagues at Spotify include Louisa Ferguson, Melanie Lugo, Linda Han, Muhammad Husni, and Kevin Cureghian.
You can use AeroLeads to view verified contact signals for Mike Seid at Spotify, including work email, phone, and LinkedIn data when available.
Mike Seid studied at Y Combinator.
Mike Seid is listed with skills including Python, Matlab, Java, Xml, Program Management, Scala, Web Development, and Software Development.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial Search contacts