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Mengfei Ren Email & Phone Number

Engineering Manager at Databricks
Location: United States 8 work roles 2 schools
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✓ Verified August 2026 3 data sources Profile completeness 86%

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Current company
Role
Engineering Manager
Location
United States
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Who is Mengfei Ren? Overview

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Mengfei Ren is listed as Engineering Manager at Databricks, a with 12099 employees, based in United States. AeroLeads shows a matched LinkedIn profile for Mengfei Ren.

Mengfei Ren previously worked as Engineering Manager at Airbnb and Senior Software Engineer at Airbnb. Mengfei Ren holds Ms, Computer Science from Columbia University.

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Databricks

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About Mengfei Ren

Mengfei Ren is a Engineering Manager at Databricks. They is proficient in English.

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Mengfei Ren's current company

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Databricks
Databricks
Engineering Manager
United States
Website
Employees
12099
AeroLeads page
8 roles

Mengfei Ren work experience

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

Engineering Manager

Current

San Francisco, Ca, Us

We are the platform that connects Airbnb to the outside world of payment processors for the execution of any payment anywhere reliably, accurately, conveniently, and cost-effectively. We moves triple digits billion dollars on our platform on an annual basis across ~200 countries, 70 currencies, via 20+ payment providers and ~400 merchent accounts.- Manage a Processing team with 14 members in US, India and Poland.- Manage a Guest SCA team with 7 members in US and India.- Built 2 India teams from 0 to 1.- Onboarded a payments Ops team with 5 contractors to handle 3rd party related operational issues.Own 4 critical domains:- Gateway Platform The unified gateway handling both payin and payout payment processing flows. Integrated with ~20 PSPs, ~70 currencies across ~200 countries.- Routing Engine The configurable service with smart failover function. that is responsible for ~400 Airbnb merchant accounts- Offline File Processing Offline ETL service to handle bank settlement files, chargeback files, BIN files, etc.- Guest Strong Customer Authentication A vertical domain that applies additional authentication on payments, to comply regulations in Europe.

Nov 2019 - Present

Senior Software Engineer

San Francisco, Ca, Us

Payments Processing TeamTech lead for Payouts SOA migration.

Aug 2018 - Nov 2019

Software Engineer

San Francisco, Ca, Us

Payments Processing Team- Built Redundant Gateway and failover logic for Airbnb payin credit card flow, which took 70% of Airbnb payin volume.- Integrated Western Union as a payout processor- Designed, built and migrated Stored Value 2.0, a service and architecture to support Airbnb credits(Gift Card, Referral Credit, Employee Travel Credit)

Jun 2016 - Aug 2018

Software Engineer

Sunnyvale, Ca, Us

Yahoo Gemini (Search & Native Ads) Team- Backend engineer for Yahoo Mobile Ads Serving team.- Extracted ads from HBase, processed data using PIG scripts, and feed data using Protocol Buffer.- Designed and built the E2E integration infrastructure in order to test the new features with quality. - Built an internal debugging tooling which helped team to debug why the ad is not serving. Reduced 60% of debugging time and the tool got used across teams. - Built a revenue monitoring system which fetches budget data in real time, alerts on anomalies based on MoM and YoY data.Experience: Java, PIG, UDF, Hadoop, HBase, Oozie, Google Protobuf

Feb 2015 - Jun 2016

Software Engineer

Sunnyvale, Ca, Us

Yahoo Search team- Backend engineer for Yahoo Shopping offers feed process system.- Tech-lead to crawl shopping data as categorization training data.- Developed the online/offline classification component. - Built an internal editorial tool (UI, API) to feed crawled data, let editors review and revise data, report classification accuracy daily changes, and run classification demo.Experience: Java, PIG, UDF, Hadoop, HBase, PHP, Javascript, Bootstrap, Selenium, maven, jetty

Mar 2014 - Feb 2015

Software Engineering Intern

Raleigh, Nc, Us

Global Support Services (GSS) Subscriber Platform Engineering Group, Diagnostic Analysis team.- Responsible for improving the customer cases classification accuracy.- Aimed to automatically identify and route customer problems to different Red Hat specialty departments.- Used Mahout and conducted Naive Bayes and Logistic Regression (SGD) classifiers. Modified and integrated self-developed analyzer to Mahout. Integrated code and test cases in the Maven project.- Built cascading classifiers and fixed the class imbalance problem by resampling. Improved the classification accuracy from 69% to over 80%.- Built an initial language classifier to separate Japanese from English cases. Applied different analyzers to different language cases.- Used LDA algorithm in mallet to build topic models.

May 2013 - Dec 2013

Software Engineering Intern

Redmond, Washington, Us

Developed the campus blog service using the Microsoft Solution Framework.

Jun 2010 - Aug 2010
Team & coworkers

Colleagues at Databricks

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2 education records

Mengfei Ren education

Ms, Computer Science

Columbia University

Bachelor Of Engineering, Computer Software Engineering

Wuhan University
FAQ

Frequently asked questions about Mengfei Ren

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

What company does Mengfei Ren work for?

Mengfei Ren works for Databricks.

What is Mengfei Ren's role at Databricks?

Mengfei Ren is listed as Engineering Manager at Databricks.

Where is Mengfei Ren based?

Mengfei Ren is based in United States while working with Databricks.

What companies has Mengfei Ren worked for?

Mengfei Ren has worked for Databricks, Airbnb, Yahoo, Red Hat, and Microsoft.

Who are Mengfei Ren's colleagues at Databricks?

Mengfei Ren's colleagues at Databricks include Vibhor Nanavati, Vibhor Nigam, Zohan Ali, Marshall Carter, and Sridhar P..

How can I contact Mengfei Ren?

You can use AeroLeads to view verified contact signals for Mengfei Ren at Databricks, including work email, phone, and LinkedIn data when available.

What schools did Mengfei Ren attend?

Mengfei Ren holds Ms, Computer Science from Columbia University.

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