Engineering Manager
Engineering manager for Signifyd's ML modeling group, leading engineers who build, deploy, and run the fraud-detection models and services behind its ecommerce fraud-prevention platform. The role blends people leadership, delivery ownership, and hands-on technical engagement, partnering with the AI lab, product, and risk teams using ML tooling on GCP.
- Compensation
- $200K–$235K / yr
- Location
- United States (Remote);
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 5+ years working as a software engineer
- Some software engineering experience in the ML sphere
- Prior experience managing engineers (not a first-time manager)
- Comfortable engaging in technical discussions on architecture, data flows, and system design
- Demonstrable professional experience using AI tools for research, administration, and code generation
- Strong knowledge of software development best practices, cloud computing platforms, big data technologies, MLOps toolkits, and SLO-driven reliability management
- Strong track record managing relationships with technical and non-technical stakeholders
- Ability to communicate clearly across audiences and influence without authority
- Comfortable navigating competing priorities and pushing back constructively
- Experience giving structured feedback and building career paths for engineers
- Ability to build trust and psychological safety while holding a high bar for output and accountability
Nice to have
- 4+ years of experience managing engineers directly in an ML-focused domain
- Experience with at least one of Databricks, Spark, Airflow, Vertex, or the GCP technology stack
Full description
At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy.
Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower confident, fraud-free commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values here!
Role Overview
Signifyd uses the latest in AI and machine learning technology to give our ecommerce customers the confidence they need to do business free from fears of fraud and other forms of ecommerce abuse. In order to do this we have to continually innovate and nowhere is this more important than in our modeling space. The modeling group creates, deploys and runs the models and services that keep us a step ahead and right now we need an engineering manager to help us build our next generation technology. The successful candidate will lead a team of engineers who will partner with our AI group and engineering as a whole to help bring ideas from conception to production, while ensuring the systems we already have continue to run smoothly. It’s a role for someone who can operate comfortably on both sides of the technical/business line, contributing to technical discussions but people-focused enough to build the relationships between engineering, our AI lab, product and our risk management organization.
You will work daily with data scientists, machine learning engineers, product owners and other cross-functional stakeholders whose work depends on your team's systems. Success means being a trusted translator and partner across all of these groups, not just a manager of your own team's output.
Your core responsibilities are delivery, fostering innovation and people leadership. How hands-on you get as part of that is up to you but you will be expected to drive closure on technical decisions and implementation.
Key Responsibilities (outcome and accountability)
1. Team Leadership & Growth
- Manage, coach and grow a team of engineers, providing regular feedback, career development while ensuring performance remains high.
- Build a healthy team culture with clear ownership, sustainable pace and high standards for quality and craftsmanship.
- Recruit and onboard new engineers as needed and develop technical leadership within the team.