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Manager, Data/ML Platform

1 hour, 24 minutes ago
United States, Canada
Full-time
Lead
Data Engineer
Data Science and Analytics
LLM Machine Learning MLOps
Apply Now
Inspiren

Inspiren

Inspiren is a nurse-led technology company revolutionizing patient care with AUGi, the world's first cognitive patient care assistant. AUGi provides insights on staffing, care plans, and resident health, enhancing safety and efficiency in healthcare.

Internet Software & Services
11-50
Founded 2016
$8M raised
View All Jobs 2

Description

  • Lead the strategy and execution for the data and ML platform across data engineering, data platform, and MLOps.
  • Own the technical direction for systems that support streaming and batch data across multiple modalities.
  • Build MLOps capabilities such as offline experimentation, model registry, shadow deployments, testing, drift monitoring, feature stores, and training data management.
  • Develop measurement and experimentation frameworks for LLM and agentic workflows.
  • Modernize legacy infrastructure, improve reliability, and modularize platform systems for scale.
  • Enable ML engineers to move ideas from experimentation to production quickly and reliably.
  • Set success criteria for platform capabilities and drive accountability for outcomes.
  • Build and scale the team through hiring, coaching, performance management, and leadership development.
  • Partner with Product, Hardware, Data Science, and Analytics to define problems, shape roadmaps, and translate business needs into technical direction.
  • Influence hardware and device design decisions where they intersect with data and ML needs.

Requirements

  • 8+ years of professional experience in software or ML engineering, with significant experience in data or ML infrastructure/platforms.
  • 3+ years of experience managing ML, Data Engineering, or platform engineering teams.
  • Experience building or scaling MLOps capabilities, including model registry, feature stores, deployment and serving, drift monitoring, and experiment tracking.
  • Experience building data platforms or data engineering systems at scale, including streaming or large-scale batch pipelines.
  • Proven experience shipping and operating data and ML systems in production at scale.
  • Experience owning model lifecycle infrastructure, including data, training, evaluation, deployment, monitoring, and iteration.
  • Demonstrated ability to grow people, uplevel teams, and manage performance with clear expectations and direct feedback.
  • Experience driving alignment and execution across Product, Engineering, and Data with accountability for outcomes.
  • Excellent verbal and written communication skills for cross-functional audiences.
  • Ability to operate under ambiguity, prioritize effectively, and maintain momentum in a fast-moving environment.

Benefits

  • Annual salary of $200,000 to $230,000.
  • Equity package.
  • Medical, dental, and vision benefits.
  • Flexible PTO.
  • Remote work within the US or Canada.

Interested in this position?

Apply directly on the company website

Apply Now

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