Engineering Manager — AI/ML Systems & Delivery

Signifyd

United States

Teletrabalho

USD 200 000 - 235 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

Ultrapassa os filtros ATS

Vantagens oferecidas por esta oferta de emprego

Unlimited PTO
401K Match
Stock options
Annual bonus or commissions
Parental leave
Health insurance
Dental insurance
Vision insurance
FSA
Disability insurance
Life insurance
Company events
Company swag

Resumo da oferta

Signifyd is hiring an Engineering Manager to lead a team of engineers focused on ML-powered fraud protection. You will partner with our AI group and cross-functional teams to translate ideas into scalable, reliable production systems while advancing the team’s growth and technical excellence.

You will work closely with data scientists, ML engineers, product owners, and risk management to deliver on roadmap commitments.

Qualificações

  • 5+ years working as a software engineer with ML experience.
  • At least 4 years of direct people management in an ML-focused domain.

Responsabilidades

  • Own delivery of the team’s roadmap balancing feature work, tech debt and reliability.
  • Lead and grow a team of engineers partnering with AI/ML groups.
  • Drive architecture discussions and design reviews with focus on reliability and scalability.
  • Champion AI tooling usage and responsible/RoI-driven deployment.

Conhecimentos

Team leadership
ML experience
Architecture discussions
AI tooling usage
Cloud platforms
Big data tech
MLOps
Databricks
Spark
Airflow
Vertex AI
GCP stack
Stakeholder management
Communication

Ferramentas

Databricks
Spark
Airflow
Vertex AI
GCP

Descrição da oferta de emprego

Signifyd is hiring an Engineering Manager to lead a team of engineers focused on ML-powered fraud protection. You will partner with our AI group and cross-functional teams to translate ideas into scalable, reliable production systems while advancing the team’s growth and technical excellence.

You will work closely with data scientists, ML engineers, product owners, and risk management to deliver on roadmap commitments.

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