Opportunity overview
What you should know
We checked this opportunity from Oyster. It is listed as United States.
The work location is Remote — Austria, Brazil, Canada, Germany, Ireland, Mexico, Netherlands, Portugal, Spain, United Kingdom or United States. Employer-stated compensation: Salary not included in the job posting.
Job description
About this role
✨ One platform, a whole world of opportunity The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere. We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing: • Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies • Named one of America's Greatest Startup Workplaces 2026 by Newsweek • A G2 Spring 2026 Leader…
Responsibilities
- Drive the company-wide AI agenda: scaling local AI initiatives into centralized production systems that create measurable business value.
- Own broad, high-impact AI initiatives that have cross functional impact: Moving our AI usage from past narrow or siloed automation examples to execute a company operational transformation.
- Partner with Product, Engineering, and operational leaders to embed AI capabilities into our customer-facing platform, internal business workflows, and core processes.
- Serve as the ultimate technical authority for our data and AI infrastructure , making critical architectural decisions across MLOps pipelines, LLM orchestration frameworks, and distributed data systems.
- Oversee the development of a scalable corporate data platform that serves as the foundational bedrock for all AI and machine learning capabilities.
Qualifications and requirements
- Drive the company-wide AI agenda: scaling local AI initiatives into centralized production systems that create measurable business value.
- Own broad, high-impact AI initiatives that have cross functional impact: Moving our AI usage from past narrow or siloed automation examples to execute a company operational transformation.
- Partner with Product, Engineering, and operational leaders to embed AI capabilities into our customer-facing platform, internal business workflows, and core processes.
- Serve as the ultimate technical authority for our data and AI infrastructure , making critical architectural decisions across MLOps pipelines, LLM orchestration frameworks, and distributed data systems.
- Oversee the development of a scalable corporate data platform that serves as the foundational bedrock for all AI and machine learning capabilities.
- Lead Oyster’s data-platform and AI strategy, organisation and technical direction across its distributed engineering function.
The description, responsibilities and qualifications used for this page and its JobPosting data appear above. Use the application action in the Job snapshot to confirm any later changes before applying.
Why you may be eligible
The source lists United States as the eligible location. Confirm that you meet any work-authorization, time-zone and experience requirements.
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How this listing was checked
- Source status
- Applicant-tracking source confirmed
- Employer or source
- Oyster
- Source checked
- September 9, 2026
- Application destination
- Employer or official applicant-tracking website
- Work setup and location
- Remote · Remote — Austria, Brazil, Canada, Germany, Ireland, Mexico, Netherlands, Portugal, Spain, United Kingdom or United States
- Who can apply
- United States · Confirmed by source
- Pay
- Not stated by employer
- Deadline
- Not stated by employer
We check the source and visible requirements, but the employer controls changes and the final hiring decision. Confirm the latest requirements before applying.