Engineering Manager (Machine Learning Infrastructure)

TL;DR

Engineering Manager (Machine Learning Infrastructure): Leading the development and operation of hirify.global's ML infrastructure with an accent on building a next-generation feature store and driving ML Ops adoption. Focus on managing a senior engineering team, ensuring project execution, and fostering a culture of technical excellence.

Location: San Francisco

Salary: $241,200 - $400,000

Company

hirify.global is evolving into an AI-first company, focusing on smarter, more secure insight products built on financial data.

What you will do

• Lead and support the ML Infra team, driving project execution and ensuring delivery on key commitments.
• Build and launch hirify.global’s next-generation feature store to improve reliability and velocity of model development.
• Define and drive adoption of an ML Ops “golden path” for secure, scalable model training, deployment, and monitoring.
• Ensure operational excellence of ML pipelines, deployment tooling, and inference systems.
• Partner with ML product teams to understand requirements and deliver solutions that accelerate model development and iteration.
• Recruit, mentor, and develop engineers, fostering a collaborative and high-performing team culture.

Requirements

• 8–10 years of experience in ML infrastructure, including direct hands-on expertise as an engineer, IC/TL.
• 2+ years of experience managing infrastructure or ML platform engineers.
• Proven experience delivering and operating ML or AI infrastructure at scale.
• Solid technical depth across ML/AI infrastructure domains (e.g., feature stores, pipelines, deployment, inference, observability).
• Demonstrated ability to drive execution on complex technical projects with cross-team stakeholders.
• Strong communication and stakeholder management skills.