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Full-Time

Senior Solutions Engineer

Strategic Accounts

Confirmed live in the last 24 hours

Signifyd

Signifyd

501-1,000 employees

Fraud protection for online retailers

Cybersecurity
AI & Machine Learning
Financial Services

Compensation Overview

$135k - $175kAnnually

+ Bonus + Equity + Benefits

Senior

New York, NY, USA

Category
Sales Engineering
Solution Engineering
Sales & Solution Engineering
Required Skills
Python
Sales
JavaScript
Communications
SQL
Pandas
Customer Service
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. Their platform uses machine learning and artificial intelligence to analyze transactions in real-time, identifying potential fraud and allowing retailers to approve more legitimate orders while reducing chargebacks. Unlike many competitors, Signifyd offers 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 helps build trust with clients. The goal of Signifyd is to ensure secure and seamless online transactions, enabling retailers to focus on their core business without the constant worry of fraud.

Company Stage

Series E

Total Funding

$413.2M

Headquarters

Palo Alto, California

Founded

2011

Growth & Insights
Headcount

6 month growth

-2%

1 year growth

-1%

2 year growth

5%
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Simplify's Take

What believers are saying

  • Signifyd's partnerships with major platforms like Adobe Commerce enhance its market presence and technological capabilities.
  • The company's financial guarantee on approved transactions can significantly reduce the financial risk for retailers, making it an attractive service.
  • Recognition of ecommerce leaders through initiatives like the 'Most Influential in Ecommerce' award highlights Signifyd's commitment to industry excellence and innovation.

What critics are saying

  • The rapidly evolving nature of ecommerce fraud requires constant innovation, which can be resource-intensive and challenging to maintain.
  • Dependence on machine learning and AI means that any flaws or biases in the algorithms could lead to significant financial losses or reputational damage.

What makes Signifyd unique

  • Signifyd offers a financial guarantee on approved transactions, providing an added layer of security and trust that many competitors do not.
  • The integration of advanced machine learning and AI for real-time fraud detection sets Signifyd apart from traditional fraud prevention methods.
  • Signifyd's global reach and transparent real-time data on system status build a high level of trust and reliability with clients.