Oyster HR

1 month ago

Senior Director, Data Platform and AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead Oyster’s AI and data platform strategy as a senior tech leader. Own the data infrastructure, scale AI initiatives from experiments to centralized production, and partner with product and engineering to embed AI across the customer-facing platform and internal workflows. Build unified data structures, ML pipelines, and governance to reduce cost-to-serve and empower global teams.

Location: Barcelona

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Director level

Key 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 with cross-functional impact, moving from siloed automation to organizational transformation.
•Partner with Product, Engineering, and operations leaders to embed AI capabilities into our customer-facing platform, internal workflows, and core processes.
•Serve as the ultimate technical authority for data and AI infrastructure, making architectural decisions across MLOps pipelines, LLM orchestration, and distributed data systems.
•Oversee development of a scalable corporate data platform that underpins all AI/ML capabilities.

Pay and Benefits

Perks:Paid LeaveRemote WorkHealth InsuranceWellness StipendParental Leave

Key Requirements

•Proven experience in data engineering, distributed systems development, or platform services infrastructure
•Deep technical track record in distributed data systems, MLOps pipelines, and LLM orchestration
•Experience designing and scaling data structures and connectivity pipelines for AI/ML deployments
•Ability to drive internal adoption of major technology or workflow shifts and guide organizational change
•Strong understanding of data privacy, platform security, and ethical compliance for global AI initiatives

Experience:Data engineeringDistributed systemsMLOpsLLM orchestrationAI platforms

Skills:LeadershipStrategyStakeholder managementCommunicationProblem-solving

Languages:English

Tech Stack:MLOpsLLM orchestrationDistributed data systemsData platforms

Company Brief

Oyster HR

Oyster is a global employment platform (Employer of Record) that helps companies hire, pay, and care for distributed teams across 180+ countries, providing compliant contracts, payroll, benefits, and HR tools for remote-first organizations.

Industry: HR Tech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2020

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Oyster HR

1 month ago

Senior Director, Data Platform and AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Barcelona

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Director level

Key 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 with cross-functional impact, moving from siloed automation to organizational transformation.
•Partner with Product, Engineering, and operations leaders to embed AI capabilities into our customer-facing platform, internal workflows, and core processes.
•Serve as the ultimate technical authority for data and AI infrastructure, making architectural decisions across MLOps pipelines, LLM orchestration, and distributed data systems.
•Oversee development of a scalable corporate data platform that underpins all AI/ML capabilities.

Pay and Benefits

Perks:Paid LeaveRemote WorkHealth InsuranceWellness StipendParental Leave

Key Requirements

•Proven experience in data engineering, distributed systems development, or platform services infrastructure
•Deep technical track record in distributed data systems, MLOps pipelines, and LLM orchestration
•Experience designing and scaling data structures and connectivity pipelines for AI/ML deployments
•Ability to drive internal adoption of major technology or workflow shifts and guide organizational change
•Strong understanding of data privacy, platform security, and ethical compliance for global AI initiatives

Experience:Data engineeringDistributed systemsMLOpsLLM orchestrationAI platforms

Skills:LeadershipStrategyStakeholder managementCommunicationProblem-solving

Languages:English

Tech Stack:MLOpsLLM orchestrationDistributed data systemsData platforms

Company Brief

Oyster HR

Industry: HR Tech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2020

Glassdoor: 4.1

Website LinkedIn Glassdoor