Note: The job is a remote job and is open to candidates in USA. Inspiren offers a connected ecosystem in senior living, aiming to integrate compassionate care with technology. They are seeking a Senior Manager to lead their Data + ML Platform group, focusing on enhancing their platform for data and machine learning, while also managing a team of engineers and collaborating with cross-functional partners.
Responsibilities
- Own technical direction for the data and ML platform, spanning data engineering, data platform, and ML Ops
- Invest in ML Ops capabilities that accelerate ML enablement: offline experimentation, model registry, shadow deployments and testing, drift/product monitoring, online and offline feature stores, and training data management
- Build measurement and experimentation frameworks for LLM and agentic workflows
- Invest in data platform and data engineering capabilities to handle large-scale streaming and batch data across modalities
- Modularize and scale our system, increase reliability, and modernize legacy infrastructure
- Make it easy for ML engineers to have ideas, test them, shadow deploy, gather data, test online, and ship
- Set clear success criteria for platform capabilities and hold the team accountable to outcomes
- Anticipate skill gaps and build a deliberate hiring plan; consistently attract and retain strong data and ML platform engineers
- Coach with depth: set explicit expectations, give direct feedback, and accelerate individual growth
- Build an environment of ownership, trust, and continuous learning
- Develop future leaders and create succession within the team
- Work closely with Product, Hardware, Data Science, and Analytics to shape problem definition and roadmap
- Translate ambiguous business needs into concrete technical direction
- Influence hardware and device design decisions where they intersect with data and ML needs
- Contribute to company strategy at the intersection of data, ML, devices, and care outcomes
Skills
- 8+ years of professional experience in software or ML engineering, with significant time spent on data/ML infrastructure or platforms
- 3+ years managing ML, Data Engineering, or platform engineering teams
- Proven experience building or scaling MLOps capabilities (e.g., model registry, feature stores, deployment/serving, drift monitoring, experiment tracking)
- Experience building data platforms / data engineering systems at scale (streaming or large-scale batch pipelines)
- Proven experience shipping and operating data and ML systems in production at scale
- Demonstrated ownership of the model lifecycle infrastructure: 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, with the ability to convey complex ideas clearly to cross-functional audiences and connect platform work to business outcomes
- Proven ability to operate under ambiguity, prioritize effectively, and maintain momentum in a fast-moving environment
Benefits
- Equity
- Benefits (including medical, dental, and vision)
- Flexible PTO
Company Overview
Company H1B Sponsorship