Full-Time

Senior Solutions Engineer

Strategic Accounts

Posted on 9/10/2024

Signifyd

Signifyd

501-1,000 employees

Fraud protection for online retailers

Cybersecurity
AI & Machine Learning

Compensation Overview

$135k - $175kAnnually

+ Bonus + Equity

Senior

New York, NY, USA

Remote option available in the United States.

Category
Sales Engineering
Sales & Solution Engineering
Required Skills
Python
JavaScript
SQL
Pandas
Customer Service
Data Analysis
Requirements
  • 5+ years of experience in customer-facing sales/pre-sales environments, preferably in antifraud or payments-related domains
  • Experience with Python, JavaScript, SQL and/or other web, programming, and scripting tools
  • Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.
  • Strong independent work ethic and an ability to troubleshoot complex technical issues and build innovative solutions under tight deadlines.
  • Creative, resourceful, detail-oriented, and highly organized.
  • Excellent presentation and communication skills virtually and in-person.
  • Enjoy/willingness to travel (up to 20%).
  • Passion for customer service.
  • Passion for new technology.
Responsibilities
  • Collaborate with strategic account teams to design and optimize machine learning solutions for high-value retailer and financial services clients to solve account integrity, payments, fraud, abuse and logistics problems
  • Serve as the technical point of contact during the pre-sales process, ensuring alignment between client needs and product capabilities and lead technical discussions on solution integration, APIs, and eCommerce workflows
  • Lead proof-of-value exercises and reliably win deals and reinforce Signifyd’s position as the market leader
  • Conduct in-depth technical demonstrations and presentations, addressing client-specific challenges
  • Develop custom scripts and tools to support unique client requirements
  • Work closely with engineering and product teams to escalate and resolve technical issues
  • Analyze and interpret large datasets to identify fraud patterns and trends, leveraging tools like Python, SQL, and Pandas
  • Accompany the post-sales implementation process to ensure continuous improvement of pre-sales technical processes and solutions
  • Partner with the Value Engineering and Sales teams to respond to RFPs and security questionnaires
  • Design engaging content and training to demonstrate Signifyd’s value through our products and capabilities to prospects and customers
  • Conduct research and solve problems surrounding new solutions and unique integration scenarios
  • Document customer expectations and order flows to clearly outline the known current state and the desired future state.

Signifyd specializes in fraud protection for online retailers, helping them detect and prevent fraudulent activities. The company provides a platform that uses machine learning and artificial intelligence to analyze transactions in real-time, identifying potential fraud. This service allows retailers to reduce chargebacks and approve more legitimate orders, ultimately increasing their revenue. Signifyd differentiates itself by offering a financial guarantee on approved transactions, meaning they will cover costs if a transaction they approve is later found to be fraudulent. This added security builds trust with clients. Operating globally, Signifyd ensures transparency with real-time data on system performance, allowing retailers to focus on their core business without the constant worry of fraud.

Company Stage

Series E

Total Funding

$399.8M

Headquarters

Palo Alto, California

Founded

2011

Growth & Insights
Headcount

6 month growth

1%

1 year growth

0%

2 year growth

3%
Simplify Jobs

Simplify's Take

What believers are saying

  • Integration with Adobe Commerce enhances transaction intelligence and competitive edge in e-commerce.
  • Growing focus on return fraud prevention presents expansion opportunities for Signifyd.
  • European consumers' preference for flexible return policies aligns with Signifyd's service offerings.

What critics are saying

  • Increased fraudulent return activities pose a significant concern for retailers.
  • Siloed data in integrations may leave gaps for fraudsters to exploit.
  • Intensifying competition in eCommerce fraud protection requires continuous innovation from Signifyd.

What makes Signifyd unique

  • Signifyd offers a financial guarantee on approved transactions, covering costs if fraud occurs.
  • The company uses advanced AI and machine learning for real-time fraud detection.
  • Signifyd's global reach allows it to serve clients in numerous countries and regions.

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