Senior Director, Data Platform and AI
Lisbon, PortugalAll locationsLisbon, PortugalEMEAAustin, Texas, United StatesAmsterdam, NetherlandsVienna, AustriaDublin, IrelandBoston, Massachusetts, United StatesLondon, United KingdomBarcelona, SpainSão Paulo, BrazilMunich, GermanyToronto, CanadaMexico City, Mexico Remote
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About the role
While this position is posted in a specific location, all of Oyster’s positions are fully remote and you can work from home. Forever. To create the best experience for our new hire, this role requires you to be based within +3 / -7 UTC. As the Senior Director, Data Platform and AI, you will own the technical infrastructure and strategic direction that transforms Oyster into an AI-native global platform, decoupling scaling overhead from platform usage growth. Part of our Senior Tech Leadership Team, this highly specialized leadership role unites data platforms, product analytics pipelines, knowledge management, and advanced automation layer frameworks. You will lead the effort to transition AI initiatives from isolated experimentation into centralized systems. This is an organizational transformation role as much as a technical one. You will leverage AI to optimize our internal workflows, modernize our knowledge architecture, and directly enhance our customer-facing product. By building unified data structures and connectivity pipelines, you will directly lower our cost-to-serve and equip our global teams with the clear data and context they need to operate efficiently. Crucially, you will also educate and empower teams across Oyster to scale their own AI use productively.
What you'll bring
- The only B Corp-certified global employment platform ~ independently verified since 2023
- A genuine passion for artificial intelligence that goes far beyond product feature delivery.
- You possess a demonstrated interest in, and concrete evidence of driving, internal organizational change, specifically regarding how AI reshapes day-to-day employee workflows and habits.
- Proven experience operating within a service-delivery model or a highly complex operational business, where data strategy directly impacts intricate, real-world workflows and diverse stakeholder ecosystems.
- A history weighted heavily toward data engineering, distributed systems development, platform services infrastructure, or system architecture over front-end application product design.
- A proven deep technical track record in distributed data systems, MLOps pipelines, and LLM orchestration.
- You can easily evaluate complex models and emerging technologies, serving as the ultimate technical authority for our infrastructure.
- Documented success building, testing, and scaling complex asynchronous data structures, machine learning routing layers, or high-volume API integrations within modern software platforms.
- The ability to view the organization holistically.
- You use your understanding of how interconnected technical platforms, business processes, and human teams interact, designing data and AI solutions that optimize entire workstreams rather than individual silos.
- A proven track record of driving internal adoption for major technology or workflow shifts.
- You can break down complex AI frameworks for non-technical teams, guide employees through operational transitions, and successfully shift daily habits from manual work to AI-assisted processes.