OfferFit was founded by ex-McKinsey and BCG math PhDs, and we’re funded by leading Silicon Valley VCs. OfferFit replaces A/B testing with automated experimentation, powered by self-learning AI. This allows lifecycle marketers to test & improve the performance of their campaigns much faster than before. Customers include leading brands like Brinks Home, Yelp, Engie, and MetLife, among many others.
Note for Applicants:
Data shows that men on average apply for a role if they meet 6/10 requirements while women often only do so if it’s 10/10. We work hard to be clear and specific about what our roles require, and we encourage you to apply even if you don’t check all the boxes! Applying gives you the opportunity to be considered and we look forward to reviewing your application!
Position Overview:
As our customer base continues to grow with the excitement around our product, we’re looking to expand! Come join our Machine Learning Implementation Engineering team of creative technical experts who collaborate with customers to ensure their success with OfferFit!
In particular, you will:
Technical Landscape:
Why is it great:
No toy datasets in notebooks — we’re implementing AI pipelines in production at scale!
Who’s a Fit:
The base salary range for this position in the United States is $113,000-$130,000 per year, plus eligibility for additional bonus ranging $12,000-$14,000. Eligibility for an additional end of year performance bonus, commissions (when applicable) and/or equity options may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on the position offered. For non-US based candidates, base pay and overall compensation packages will be adjusted based on location. Applicants should apply via OfferFit’s internal or external careers site
OfferFit Benefits and Perks:
OfferFit is committed to a diverse and inclusive workplace. OfferFit is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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