Lead and mentor ML engineers; focus on growth.
Drive customer and business outcomes with the team.
Define technical roadmaps; manage cross-functional initiatives.
Communicate with stakeholders; actionable plans from complexity.
Drive development processes; deliver incremental customer value.
Ensure scalable services on public cloud deployments (GCP, AWS, Kubernetes) with Go or Python expertise in ML/GenAI.

🎯 Requirements

Bachelor's degree in CS or related field, or equivalent practical experience.
6+ years of engineering or leadership experience.
Distributed systems expertise; scalable, redundant services.
Experience with PostgreSQL, data lakes/warehouses, analytics.
Web-scale cloud deployments (GCP/AWS) and Kubernetes.
Proficiency in Go or Python; ML deployment knowledge.

🎁 Benefits

Remote or US-based work option.
Growth, coaching, and career development.
Inclusive, equal opportunity employer with AI policy transparency.

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