Signifyd
Engineering Manager
$200K–$235K
United States (Remote) +1 · Remote · Manager · Full-time · Posted Sep 3, 2026
- Location
- United States (Remote)
USA - Experience
- 5+ years as a software engineer, including some ML experience; prior management experience required, with at least 4 years managing engineers directly in an ML-focused domain preferred.
About the job
Leads an engineering team building and operating machine-learning systems, partnering across AI, product, engineering, and risk management to deliver reliable production technology.
What you'll do
- Coach, develop, recruit, and grow engineers while building a healthy, high-performing team.
- Own the team roadmap and delivery, technical decisions, and operational practices such as testing, monitoring, and reliability.
- Coordinate with cross-functional stakeholders and champion responsible, effective use of AI tools in team workflows.
What they ask for
- 5+ years working as a software engineer, including some experience in the ML sphere.
- Prior engineering management experience; this should not be the candidate’s first time managing.
- Demonstrable professional use of AI tools for research, administration, and code generation, with a responsible-use perspective.
- Strong knowledge of software development best practices, cloud computing platforms, big data technologies, MLOps toolkits, and SLO-driven reliability management.
Nice to have
- At least 4 years managing engineers directly in an ML-focused domain is preferred.
- Experience with at least one of Databricks, Spark, Airflow, Vertex, or the GCP technology stack.
Pay
$210,000 – $235,000 USD annually (base salary, Tier 1); $205,000 – $230,000 USD annually (base salary, Tier 2); $200,000 – $225,000 USD annually (base salary, Tier 3); $200,000 — $235,000 USD (base salary, USA Base Salary Pay Range)
Tools
Databricks, Spark, Airflow, Vertex, GCP
AI focus
Leads development and operation of machine-learning systems and promotes responsible, effective use of AI tools for research, administrative workflows, and code generation.
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