Daniel Foley
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Daniel Foley Email & Phone Number

Product at AWS AI/ML at Moloco
Location: San Francisco Bay Area, United States, United States 11 work roles 2 schools
1 work email found @amazon.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email d****@amazon.com
LinkedIn Profile matched
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Current company
Role
Product at AWS AI/ML
Location
San Francisco Bay Area, United States, United States
Company size

Who is Daniel Foley? Overview

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Quick answer

Daniel Foley is listed as Product at AWS AI/ML at Moloco, a company with 128 employees, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at amazon.com and a matched LinkedIn profile for Daniel Foley.

Daniel Foley previously worked as Group Product Manager at Moloco and Senior Technical Product Manager at Amazon Web Services (Aws). Daniel Foley holds Master Of Business Administration - Mba from Northwestern University - Kellogg School Of Management.

Company email context

Email format at Moloco

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{first_initial}{last}@amazon.com
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AeroLeads found 1 current-domain work email signal for Daniel Foley. Compare company email patterns before reaching out.

Profile bio

About Daniel Foley

Early in my career, I left the reliability of a Fortune 50 company to go work on a folding card table at a start-up that had just closed its first round of financing. Today, I build products that leverage the power of data; using machine learning and artificial intelligence to help companies outmaneuver their competition.My experience has been primarily in B2B SaaS, where I have been fortunate to work with world class engineers and data scientists to solve real business problems for our customers. My role in the process was to understand industry trends, bring an empathetic ear to the customer and to effectively communicate and prioritize market needs.In my career as a product manager, I have worked across functions (technical and non-technical) to successfully launch multiple new products, powered by more than 25 production data models.Choosing to pursue a start-up early in my career has exposed me to excellence in every function, from sales to engineering, and has taught me the power of entrepreneurship to make change. I love helping entrepreneurs, product managers or anyone that wants to talk AI. Please reach out I can help in any capacity.Areas of Focus: AI, SaaS, Finance and Skiing

Listed skills include Product Management, Product Launch, Machine Learning, Due Diligence, and 7 others.

Current workplace

Daniel Foley's current company

Company context helps verify the profile and gives searchers a useful next step.

Moloco
Moloco
Product at AWS AI/ML
redwood city, california, united states
Website
Employees
128
AeroLeads page
11 roles

Daniel Foley work experience

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

Group Product Manager

Current
Jun 2024 - Present

Director Of Product Management

Palo Alto, California

Dec 2019 - Aug 2021

Venture Capital Intern

Due diligence and market analysis focused primarily on AI applications in cybersecurity and cloud native computing.

Apr 2018 - Jun 2018

Product Manager

Greater Boston Area

Launched first version of a new product that used machine learning to prioritize customers and provide detailed insights for electric utilities while simultaneously managing a legacy remote auditing product.Responsible for end-to-end planning, development and maintenance.

Mar 2015 - May 2017

Project Manager, Building Engineering & Analytics

Led a team of international software engineers and data scientists in building and implementing technical features including a disaggregation engine that leveraged artificial intelligence to determine the breakdown of energy use in buildings via energy consumption data and a rules engine that reduced engineering processing time and improved overall quality.

Aug 2014 - Mar 2015

Energy Systems Engineer

Lexington, MA

Contributed to the development of the core models and intellectual property as part of the original cross-functional team and one of FirstFuel’s first 10 employees.

Jun 2012 - Aug 2014

Energy Solutions Development Engineer

Lynnfield, MA

Led teams in engineering of self-funding energy reduction projects designed to meet clients’ desired return on investment and operational requirements. Worked with three start-up companies to create test applications as technical due diligence for possible corporate venture investments.

Sep 2011 - Jun 2012
Team & coworkers

Colleagues at Moloco

Other employees you can reach at molocoads.com. View company contacts for 128 employees →

2 education records

Daniel Foley education

Bs, Mechanical Engineering

Concentration in Energy Technologies and Environmental Engineering

FAQ

Frequently asked questions about Daniel Foley

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

What company does Daniel Foley work for?

Daniel Foley works for Moloco.

What is Daniel Foley's role at Moloco?

Daniel Foley is listed as Product at AWS AI/ML at Moloco.

What is Daniel Foley's email address?

AeroLeads has found 1 work email signal at @amazon.com for Daniel Foley at Moloco.

Where is Daniel Foley based?

Daniel Foley is based in San Francisco Bay Area, United States, United States while working with Moloco.

What companies has Daniel Foley worked for?

Daniel Foley has worked for Moloco, Amazon Web Services (Aws), Orbital Insight, Shasta Ventures, and Firstfuel Software.

Who are Daniel Foley's colleagues at Moloco?

Daniel Foley's colleagues at Moloco include Pantira Petersen, Hyeong Uk Chang, Yuna Kim, Saebom Bae, and Daan Ramaekers.

How can I contact Daniel Foley?

You can use AeroLeads to view verified contact signals for Daniel Foley at Moloco, including work email, phone, and LinkedIn data when available.

What schools did Daniel Foley attend?

Daniel Foley holds Master Of Business Administration - Mba from Northwestern University - Kellogg School Of Management.

What skills is Daniel Foley known for?

Daniel Foley is listed with skills including Product Management, Product Launch, Machine Learning, Due Diligence, Cloud Computing, Engineering, Artificial Intelligence, and Neural Networks.

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