TL;DR

Senior Manager, AI Platform Engineering (AI): Leading the team responsible for building, scaling, and operating the systems that power the entire ML lifecycle with an accent on distributed systems, platform design, and MLOps. Focus on defining the AI/ML roadmap, improving model deployment velocity, and ensuring system reliability and governance at scale.

Location: Remote (Must be based in the US)

Salary: $190K – $210K

Company

%hirify_global% is building the identity trust infrastructure for the digital economy, verifying identities in real time to stop fraud.

What you will do

Develop and own the AI/ML platform roadmap, including training infrastructure, experimentation tooling, and model serving.
Lead the design and operation of the end-to-end ML lifecycle: data ingestion, feature engineering, training, and continuous monitoring.
Define architecture and standards to create scalable and secure paths for operating AI systems.
Guide engineering execution and establish SLAs and production-readiness guidelines for ML pipelines.
Implement best practices for model versioning, auditability, lineage tracking, and data governance.
Lead, mentor, and grow a team of senior and junior ICs across ML infrastructure and distributed systems.

Requirements

8+ years of professional software engineering experience building large-scale ML, data, or distributed systems platforms.
3+ years of engineering leadership experience managing multiple teams or engineering managers.
Strong technical background in ML infrastructure, data engineering, and cloud-native distributed systems.
Demonstrated experience delivering complex, cross-functional platform initiatives.
Must be based in the United States.

Nice to have

Experience with ML lifecycle tooling such as Spark, Ray, Kubeflow, MLflow, Chalk, Feast, or Airflow.
Proficiency with modern cloud infrastructure (AWS/GCP/Azure, Sagemaker, Kubernetes).
Familiarity with model governance, drift detection, and compliance frameworks.
Background in fintech, identity verification, or fraud domains.

Culture & Benefits

High-responsibility environment for individuals who move fast, think critically, and act like owners.
Focus on solving complex, high-impact problems at massive scale.
Competitive compensation package including equity and bonuses.
Culture of technical excellence, accountability, and continuous improvement.