Senior Manager, Applied AI Research

• Team Building & Leadership: Recruit for and lead a team of applied researchers, setting the team’s culture and setting a high standard for quality and velocity
• The Research-to-Product Bridge: Act as the primary link between Research, Product, and Engineering. You will oversee the development of experimental POCs to improve workflow efficiencies and ensure these innovations are successfully hardened and integrated into the platform
• Frontier Data Research: Collaborate with academic and industry-leading AI labs to define the data-centric techniques that will help power the next generation of foundation models.
• Strategic Roadmapping: Anticipate the next bottlenecks in the AI data (e.g., automated RLHF, agentic evaluation, or specialized model alignment) and pivot the team to develop the programmatic solutions that address them
• Operational Excellence: Partner with the Operations team to validate research-driven workflows in real-world production environments, ensuring they scale across diverse and complex domain-specific tasks

• 5+ years of experience in applied AI, research or machine learning roles
• At least 4+ years of experience managing technical teams
• A player coach who is willing to be hands-on with coding, research, customer-facing engagements
• A proven track record of thriving in fast-paced, ambiguous environments, comfortable managing competing priorities across cross-functional stakeholders in Product, Engineering, and GTM
• Enjoys solving real-world problems in the data space and bridging research and production
• Strong, practical experience working with LLMs, agentic workflow

Experience with data annotation workflows and/or building internal tooling for them

Reasonable accommodation for individuals with disabilities