Extend

Extend helps brands turn shopper behavior into operational and financial advantage. Our platform transforms post-purchase customer data into real-time intelligence, allowing merchants to dynamically…

extend.com

Extend

extend.com

HQUS

Team Size296

Open JobsUnknown

Total Funding$316M

Latest FundraiseUnknown

TL;DR

Headquarters: San Francisco, CA

Founded: 2019

Core product: API-first product protection, returns/delivery and shopper-operations platform

Unicorn status: Valued ≈ $1.6B after May 2021 Series C

Notable backers: SoftBank, PayPal, American Express, Nationwide

Company Overview

Problem Domain

Post-purchase commerce operations (product protection, returns/exchanges, delivery, and shopper operations) for merchants and brands.

Founded

2019

Industry

Commerce technology / Insurtech / Retail SaaS

Funding Track Record

Series C- May 18, 2021

260000000

Valued the company at roughly $1.6 billion

Investor Signal

“Backed by strategic and financial investors including SoftBank, PayPal, American Express/Amex Ventures, Nationwide, Meritech Capital”

Founders

What we do

Join the Team

Senior Data Scientist

RemoteUnited States, US

Remote • United States, US

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Who you are

5+ years experience in data science and/or consulting with strong emphasis on breaking down business problems into data driven impact
Standout written and verbal communication skills who excels at sharing data insights to audiences of all backgrounds
Expert knowledge of SQL, Python, A/B testing, and Github
Intellectually curious, willing to think beyond just the revenue organization and prioritize what is best for the business holistically
Empathetic, humble, and collaborative team player
Advanced degree in data science, analytics, economics, statistics or similar quantitative field
Candidates must be located within the continental United States

What the job involves

The Revenue Analytics team is focused on developing strategic recommendations grounded in data to scale, drive, and recover revenue.
We are experts at synthesizing different contexts from Sales, Growth, Product, Engineering, and Risk to identify growth and expansion opportunities that directly drive the company’s bottom line

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If you have a passion for breaking down complexity and ambiguity into quantifiable impact, you’ll thrive on our team

Cross-functional Champion: Independently lead cross-functional teams through ambiguous questions to influence and implement revenue driving initiatives and recommendations

Revenue Optimization: Own and identify innovative new strategies to maximize revenue and enhance client acquisition throughout the entire revenue waterfall

Data-driven Insights: Lead the charge in improving our quantitative analysis techniques (simulation models, A/B testing, causal impact analysis, etc.) to better influence audiences on strategic direction, with opportunities to present these insights to leadership on a regular basis

Data Infrastructure: Own, refine, and improve existing data pipelines to harness the power of data analytics, defining data structures, and leveraging advanced tracking methodologies to uncover revenue opportunities

Role Model: Set the standard for the team in terms of analytical thinking and excellence