Senior Builder - Technical Program Manager, Ring Agent Platform Org

About the role

The right candidate has a strong technical background, demonstrated experience leading complex cross-functional programs, and genuine passion for AI/ML technologies. They combine deep technical program management expertise with an AI-native mindset to drive the architecture, delivery, and adoption of agent-based platforms across the RBKS portfolio.

Responsibilities

• Own complex, cross-team workstreams spanning data infrastructure, business analytics, software development, and agent orchestration — defining how work gets done, not just what gets done
• Drive architectural decisions and technical planning for large-scale AI agent platforms across the Ring, Blink, Key, and Sidewalk ecosystems
• Define and drive multi-quarter technical roadmaps, breaking ambiguous problems into actionable plans with clear milestones and KPIs
• Anticipate bottlenecks, surface cross-team dependencies, provide escalation management, and make tradeoffs balancing customer needs, business requirements, and technical constraints
• Earn and embed AI-native practices into program execution: design workflows with AI and automation as a first principle, and build reusable tooling that raises the org's effectiveness
• Set standards and create mechanisms that improve quality, speed, and predictability of delivery across multiple teams
• Develop the Builders around you — raise the technical and AI fluency bar through mentoring, pairing, and example
• Communicate program health, risks, and outcomes with clarity to senior leadership

Qualifications

• 5+ years of technical product or program management experience
• 5+ years of working directly with engineering teams experience
• Experience managing programs across cross-functional teams, building processes and coordinating release schedules
• Experience building and evaluating system-level technical design
• Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership
• Experience with AI/ML technologies, including AI development IDEs, agent frameworks, LLMs, RAG systems, model serving infrastructure, or data platforms at scale