Any Location
Remote
Director
Full Time
2 months ago
remoteAIdata platformsenior leadershipdirector leveldistributed teamglobal company
Requirements
- •Genuine passion for artificial intelligence beyond product feature delivery with evidence of driving internal organizational change.
- •Proven experience in service-delivery or complex operational business where data strategy impacts workflows and stakeholders.
- •Strong background in data engineering, distributed systems development, platform services infrastructure, or system architecture.
- •Deep technical track record in distributed data systems, MLOps pipelines, and LLM orchestration.
- •Documented success building, testing, and scaling complex asynchronous data structures, machine learning routing layers, or high-volume API integrations.
- •Ability to view organization holistically and design data and AI solutions optimizing entire workstreams.
- •Proven track record of driving internal adoption for major technology or workflow shifts and guiding operational transitions.
- •Familiarity with model validation systems, technical anomaly logging, data pipeline health metrics, and automated governance frameworks.
- •Reliable home internet connection and fluency in written and spoken English.
What You'll Do
- •Drive the company-wide AI agenda by scaling local AI initiatives into centralized production systems that create measurable business value.
- •Own broad, high-impact AI initiatives with cross functional impact to execute a company operational transformation.
- •Partner with Product, Engineering, and operational leaders to embed AI capabilities into 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 frameworks, and distributed data systems.
- •Oversee development of a scalable corporate data platform foundational for AI and machine learning capabilities.
- •Transform internal knowledge base by building data architecture to turn unstructured information into intelligent, searchable, actionable assets.
- •Re-build and evolve company-wide data structures and connectivity pipelines optimized for AI model deployment and cost efficiency.
- •Set company-wide tooling standards, maintain technical quality guardrails, and establish engineering best practices for embedded AI specialists.
- •Support implementation of local AI solutions by decentralized specialists with centralized platform support.
- •Maintain high levels of ethical compliance ensuring AI initiatives adhere to data privacy, platform security, and ethical standards.
- •Educate and empower teams to scale their own AI use productively with structural frameworks.
- •Partner with People and Operations to champion organizational AI capability and provide technical training.
- •Drive organizational change management and literacy to shift workflows from manual to AI-assisted operations.
Nice to Have
- •Background architecting semantic search solutions, internal retrieval-augmented generation engine layers, or multi-tenant customer data structures from zero-to-one phases.
Benefits
- •Work from anywhere with no borders or HQ.
- •40 days paid time off per year including holidays and vacation or more if required locally.
- •Mental health support via Plumm service.
- •Monthly wellbeing allowance in ThanksBen wallet.
- •Flexible parental leave with at least three months paid leave and job protection up to 12 months or as required locally.
- •Work from home stipend for laptop and home office equipment.
About Oyster
Oyster is a distributed HR platform that offers companies to hire, pay, and care for teammates.
Charlotte, NC, US
500-1000
HR & Recruiting