Transmit Security
Transmit Security

Engineering Team Lead - Data Science Team

TLDR

Lead scalable data infrastructure for fraud detection products, shaping systems that impact millions of users and managing security risks across the data platform.

We offer the industry’s only platform that fuses customer identity and anti-fraud solutions – customer identity management, identity verification, and fraud prevention. 

We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.

About the Role:

Transmit Security is a top player in its game and is heading for an exciting year.
In this role, you will take an integral part in the creation of a new and innovative SaaS product.
If you are a talented software engineer and engineering manager that likes to solve complex problems and looking for your next challenge we want you to join our team!

What you’ll do:

As the Team Leader of a Detection and Response Engineering team at Transmit Security, you will lead a talented team to design, implement, and deploy scalable data solutions for an innovative SaaS product. You’ll be responsible for shaping the direction of a system that impacts millions of users worldwide. If you're an experienced manager with a strong technical background, ready to lead in a dynamic, fast-paced production environment, we want you on our team!

The group responsible for 4-5 different products:
1. DRS (fully managed fraud detection solution)
2. Agentic Visibility
3. Citadel (ITP) - lean version of DRS capabilities
4. Transaction Monitoring offering
5. More might come soon

Responsibilities:

  •     Lead and guide one of the DRS Engineering teams in the design and deployment of scalable data infrastructure.
  •     Collaborate effectively with cross-functional teams (Data Science, Research, Security, etc.) to ensure alignment on business needs and security standards.
  •     Manage the technical backlog, make critical decisions on product milestones, and ensure timely, secure, high-quality delivery and deployment.
  •     Foster the growth of team members through mentorship, personal development opportunities, and the promotion of continuous improvement.
  •     Identify, manage, and mitigate security risks across the data platform, maintaining high standards in all initiatives.
  • Define and implement methodologies to guarantee the performance, scalability, and quality of our data infrastructure.

What you’ll need:

  • 5+ years of software engineering experience, with at least 2 years in a leadership capacity.
  • Advantage: and cloud platforms (AWS, GCP, Azure).
  • Proficiency in programming languages such as NodeJS, Python, Java, Scala, or Go.
  • Familiarity with databases (Postgres SQL, Redis) and Kubernetes.
  • Demonstrated strong leadership abilities, including guiding teams, managing backlogs, and fostering effective cross-functional collaboration.
  • Proven experience in managing security risks and ensuring high-quality, scalable, and compliant systems.
  • Ability to maintain focus on key priorities and excel in a fast-paced, dynamic production environment.
  • For Data-Science - looking for an Engineering Team lead with a past knowledge / experience in data-science teams.

Advantages:

  •     Bachelor’s degree in Computer Science or a related field.
  •     Extensive knowledge of distributed computing platforms (Flink, Spark, Beam) 
  •     Experience with microservice architecture, data management tools (Kafka, Airflow, MLOps), and CI/CD processes.
  • Background in identity management, risk assessment, or fraud detection.

#LI-TL1 #LI-Hybrid 

Transmit Security builds a cutting-edge platform that unifies customer identity and fraud prevention through modular identity services. Designed for industries with significant consumer interactions such as banking, fintech, and e-commerce, our solutions prioritize security while enhancing user experience.

Founded
Founded 2014
Employees
201-500 employees
Industry
computer software
Funding stage
Series A
Total raised
$580M raised
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