Guide the vision and roadmap for AI Studio alongside Vocal’s Director of AI Strategy.
Lead the transition from prototype to production for early AI experiments.
Identify opportunities to standardize, automate, and scale AI capabilities across multiple clients and programs.
Manage systems for internal AI experimentation including intake, prioritization, testing, and evaluation processes.
Establish clear operational frameworks to support rapid iteration without sacrificing reliability or quality.
Partner with operations and data teams to build reporting, monitoring, and feedback loops that inform product decisions.
Anticipate operational risks and constraints as AI tools scale, proactively addressing performance, compliance, and resource needs.
Oversee AI-enabled client programs from discovery through delivery, ensuring strong alignment between client needs and product capabilities.
Collaborate with client teams to scope requirements, manage timelines, and set clear expectations for AI-driven outcomes.
Ensure consistent quality and performance across all client-facing AI tools, services, and workflows.
Translate client feedback into actionable product improvements and roadmap priorities.
Partner closely with engineers, data scientists, and technical vendors to design, build, and ship AI-powered tools, platforms, and internal systems.
Contribute meaningfully to technical architecture and system design discussions, including data pipelines, model integration, automation workflows, and internal tooling.
Serve as a technical bridge between engineering teams, AI creatives, and client-facing stakeholders—ensuring shared understanding of system capabilities, limitations, and tradeoffs.
Support iteration, debugging, and performance optimization by maintaining a strong understanding of systems end-to-end.
Make informed build vs. buy decisions for scalability, cost, reliability, and long-term maintainability.