Extend Logo

Extend

Manager, Fraud Intelligence

Posted One Month Ago
Be an Early Applicant
Remote
Hiring Remotely in U.S.
157K-183K Annually
Senior level
Remote
Hiring Remotely in U.S.
157K-183K Annually
Senior level
Lead a team analyzing large-scale behavioral and transactional data to detect and prevent fraud. Build monitoring frameworks, dashboards, and metrics; track and optimize AI agent performance; partner with ML, product, and engineering to translate findings into model features; hire, mentor, and coach analysts; and define cross-functional fraud strategies.
The summary above was generated by AI

About Extend:

Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits.

Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco.
About the Role:

The Fraud Intelligence team is the magic behind Extend’s post-purchase protection platform. We build and refine cutting-edge analytics engines based on signals and transactions from hundreds of millions of users to detect and prevent fraud, drive smarter decisions, and unlock business value.

We love uncovering patterns in messy data to catch bad actors and stop fraud in its tracks. You’ll have the opportunity to shape new fraud prevention product features and analytics capabilities. You’ll work cross-functionally to add features to prevent fraud and optimize savings based on your analysis.

If you’re data-obsessed, impact-driven, and excited to tackle complex problems at the intersection of analytics and fraud prevention, you’ll thrive on our team. This is a high-ownership role where your work will directly protect retailers, enhance customer trust, and drive the company’s bottom line.

What You’ll Be Doing:
  • Lead a team to analyze large-scale behavioral, transactional, and interaction data to uncover signals indicative of fraud and abuse
  • Respond swiftly to emerging fraud threats by developing monitoring frameworks, dashboards, and mitigation solutions in collaboration with cross-functional teams
  • Own AI agent performance tracking and optimization for Fraud Ops, driving continuous accuracy and efficiency gains
  • Partner with the Machine Learning team to translate fraud pattern findings into model feature recommendations, providing feedback on model scoring based on investigation outcomes
  • Own metric development and regular reporting to track operational efficiency and fraud savings
  • Hire, mentor and coach junior data analysts
  • Perform design and code reviews to raise the technical excellence bar
  • Partner closely with leadership, fraud operations, product, and engineering teams to define and execute effective fraud strategies
  • Champion a culture of continuous learning, experimentation, and collaboration across the fraud and broader data science teams
What We’re Looking For: 
  • Hands-on, proactive, and analytical professional who is passionate about using data to solve complex, real-world problems
  • 6+ years of experience in fraud analytics, ideally within an e-commerce or retail environment
  • 2+ years of experience mentoring and managing analytics teams
  • Prior experience in a startup or high-growth environment is preferred
  • Expertise in core analytics concepts, including statistical analysis, data wrangling, and data storytelling
  • Proficiency in SQL, experience with Python
  • Strong people leadership skills; ability to develop top analytics talent and leaders
  • Exceptional communication and stakeholder management skills, with a proven ability to work cross-functionally and influence outcomes
  • High attention to detail, strong intellectual curiosity, and a deep understanding of user behavior and fraud patterns
  • Empathetic, humble, and collaborative team player
  • Candidates must be located within the continental United States

Expected Pay Range: $157,250 - $182,750 per year salaried*

* The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience.

Extend does not provide immigration-related sponsorship for this role.

Life at Extend:

  • Working with a great team from diverse backgrounds in a collaborative and supportive environment.
  • Competitive salary based on experience, with full medical and dental & vision benefits.
  • Stock in an early-stage startup growing quickly.
  • Generous, flexible paid time off policy.
  • 401(k) with Financial Guidance from Morgan Stanley.

Extend CCPA HR Notice




Similar Jobs

26 Minutes Ago
Remote or Hybrid
California, USA
87K-120K Annually
Senior level
87K-120K Annually
Senior level
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Develops and maintains Databricks data architecture, harmonizes multiple data sources, and manages Power BI reporting. Owns sales forecasting, snapshot management, trade reporting, and gross-to-net analysis. Translates complex analyses into actionable business insights, supports S&OP cycles, and collaborates with Sales, Marketing, and Operations. Requires strong statistical programming, database development, data visualization, forecasting, and cross-functional communication skills.
Top Skills: CircanaDatabricksNetSuiteNielsenPower AppsPower AutomatePower BIPythonRSharepointSpinsSQLTableauVividly
33 Minutes Ago
Remote or Hybrid
45K-85K Annually
Junior
45K-85K Annually
Junior
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound calls and warm leads, assess customers’ insurance needs, recommend Property and Casualty products and coverages, and convert prospects into policyholders. The role includes paid remote training and licensing, customer consultation, sales closing, and adherence to scheduled shifts. Representatives must maintain a professional home workspace with reliable wired high-speed internet and remain in their resident state for at least one year.
Top Skills: Cable InternetDsl InternetFiber InternetPc
33 Minutes Ago
Remote or Hybrid
45K-85K Annually
Junior
45K-85K Annually
Junior
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handles inbound calls and warm leads, consults customers on insurance needs, recommends appropriate Property and Casualty coverage, and converts prospects into policyholders. The role includes paid licensing and training, remote work, commission opportunities, and a fixed weekday/weekend schedule. Employees must obtain a Property and Casualty license and meet home-office and high-speed internet requirements.
Top Skills: Cable/Fiber/Dsl InternetPcWired High-Speed Internet

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account