Senior Engineering Manager - Machine Learning
Super.com
About this role
The Engineering Manager for Applied Machine Learning & Research at Super Technologies leads the development and delivery of machine learning systems that enhance online gambling and sports betting experiences. The role combines hands-on technical contribution, project coordination, and people management to guide a small team of data scientists and ML engineers in building predictive analytics, personalization, fraud detection, and real-time recommendation systems.
Skills
Qualifications
About Super.com
super.comSuper (super.com) is a consumer commerce and savings platform that helps people find discounted travel, retail deals, and financial-product offers through price comparisons, cashback, and curated promotions. It combines automated deal‑sourcing, real‑time pricing and personalized recommendations delivered via web and mobile to simplify shopping and booking. Super partners with merchants and travel providers to surface exclusive discounts and monetizes through referral and affiliate relationships, positioning itself as a one‑stop destination for finding lower prices.
Recent company news
NASCAR adds savings membership site Super.com as new official sponsor
1 day ago
A travel-fintech app uses AI search to cut through digital clutter. It saves employees more than 1,500 hours every month.
Apr 23, 2025
Competing on Canada’s terms
Oct 9, 2025
Super.com Secured Card Review
Jun 3, 2025
Super.com Raises $85 Million for Savings Super App
Apr 24, 2023
About Super.com
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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View leadership team, funding history,
and employee contacts for Super.com.
Salary
$134k – $174k
per year