Teams at RadixArk

Own the product strategy and roadmap for AI inference and training infrastructure. Collaborate with research and engineering teams on technical trade-offs, requirements, scope, and delivery. Engage early adopters and partners, support developer-focused go-to-market initiatives, create technical content, and use user research, analytics, benchmarks, and system performance data to guide product decisions.

Drive complex, cross-functional AI infrastructure programs across inference, training, hardware enablement, and engineering teams. Own milestones, dependencies, risks, release management, technical coordination, incident response, operating cadence, metrics, and stakeholder communication. Partner with product, engineering, research, hardware vendors, AI labs, and enterprise customers to deliver scalable infrastructure programs.

Own end-to-end interview coordination, candidate communication, ATS data integrity, recruiting metrics, documentation, and talent operations workflows. Build AI-augmented automations and reporting processes, maintain recruiting and people technology infrastructure, and partner with People and Talent leadership on scalable operational improvements across regions.