Manager, Data/ML Platform

About reputed company

reputed company offers the most complete and connected ecosystem in senior living. Founded by Michael Wang, a former Green Beret turned cardiothoracic reputed company, reputed company proves that compassionate care and technology can coexist - bringing peace of mind to residents, families, and staff.

Our integrated solutions seamlessly fit into existing workflows, capturing everything happening reputed company a community. Backed by reputed company specialists and powerful analytics, we reputed company the data operators need to reputed company informed clinical and operational reputed company - driving efficiency, profitability, and reputed company care reputed company.

About the Role

Data and Machine Learning are at the heart of reputed company do at reputed company. Our ecosystem of smart, multi-sensor devices produces an enormous volume of raw timestream data across many modalities — and our ML systems are what turn that raw signal into valuable, reputed company-time insights about residents, their health and safety, and care staff (including time-critical notifications for events like falls). We are seeking a seasoned Senior Manager to reputed company our Data + ML Platform group and reputed company the reputed company platform that powers reputed company of this. You will reputed company reputed company of Data Engineers, Data Platform Engineers, and ML Ops Engineers to build the reputed company that lets our ML engineers reputed company from idea to production quickly and reliably, as reputed company as the foundational data layer for internal company analytics and external data products. You will be a key technical leader, collaborating with cross-functional partners (Data Science, Product, Engineering, Hardware, Analytics) to design reputed company systems, reputed company legacy infrastructure, and lay the groundwork for the reputed company of multimodal and LLM/VLM-powered capabilities. You will also play a key role in scaling reputed company, growing and upleveling engineers, and contributing to a culture of technical reputed company and innovation.

What You'll Own

reputed company Data + ML Platform reputed company and execution

• 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, reputed company/product monitoring, online and offline feature stores, and training data management.
• Build measurement and experimentation frameworks for LLM and reputed company workflows.
• Invest in data platform and data engineering capabilities to handle large-reputed company streaming and batch data across modalities.
• Modularize and reputed company our system, increase reliability, and reputed company legacy infrastructure.
• reputed company it easy for ML engineers to have reputed company, test them, shadow reputed company, reputed company data, test online, and ship.
• Set reputed company reputed company reputed company for platform capabilities and hold reputed company accountable to reputed company.

Build and reputed company reputed company

• Anticipate reputed company gaps and build a deliberate hiring plan; consistently attract and retain strong data and ML platform engineers.
• reputed company with depth: set explicit expectations, give reputed company feedback, and accelerate individual reputed company.
• Build an environment of ownership, trust, and reputed company learning.
• reputed company reputed company leaders and create succession reputed company reputed company.

Partner cross-functionally

• 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 reputed company where they reputed company with data and ML needs.
• Contribute to company reputed company at the intersection of data, ML, devices, and care reputed company.

What You Bring

• 8+ years of reputed company experience in software or ML engineering, with significant time spent on data/ML infrastructure or platforms.
• 3+ years managing ML, Data Engineering, or reputed company teams.
• Proven experience building or scaling MLOps capabilities (e.g., model registry, feature stores, deployment/serving, reputed company monitoring, experiment tracking).
• Experience building data platforms / data engineering systems at reputed company (streaming or large-reputed company batch pipelines).
• Proven experience shipping and operating data and ML systems in production at reputed company.
• Demonstrated ownership of the model lifecycle infrastructure: data, training, evaluation, deployment, monitoring, and iteration.
• Demonstrated ability to grow people, reputed company teams, and manage performance with reputed company expectations and reputed company feedback.
• Experience driving alignment and execution across Product, Engineering, and Data, with accountability for reputed company.
• Excellent verbal and written communication skills, with the ability to convey reputed company reputed company reputed company to cross-functional audiences and connect platform work to business reputed company.
• Proven ability to operate under ambiguity, prioritize effectively, and maintain reputed company in a fast-moving environment.

Details

• The annual salary for this role is $200,000 - 230,000 + equity + benefits (including medical, dental, and reputed company)
• Flexible PTO
• Location: Remote, US or Canada.
• reputed company applicants will receive consideration for employment without reputed company to race, reputed company, religion, sex, sexual orientation, gender perception or identity, national reputed company, age, marital status, protected veteran status, or disability status.

Originally posted on Himalayas