Principal TPM, AI-Driven Video Platform Leadership

Ring; Cambourne; Sur place; GBP 120 000 - 180 000; Plein temps

Résumé du poste

The Ring Video Platform Team is seeking a Principal Technical Program Manager to lead multi-year initiatives across cloud services, device firmware and mobile apps from Ring’s Cambridge and London bases.

You will partner with senior engineers and executives to set program strategy, evaluate architectures, and drive AI-native practices that improve customer outcomes while controlling risk and cost.

Qualifications

• Experience in technical product or program management.
• Proven ability to work with engineering teams and stakeholders.
• Fluency with AI tools and data-driven decision making.
• Experience guiding roadmap strategy and cross-functional planning.
• Ability to design and evaluate architectures and systems at scale.
• Experience delivering programs across cloud services, firmware and mobile apps.

Responsabilités

• Set program execution vision for Video Platform and multi-year strategy across cross-org initiatives.
• Make portfolio-level decisions with clear success metrics and roadmaps.
• Deliver through teams; remove blockers and improve delivery speed and predictability.
• Test plans and estimates against data; identify risks and opportunities in architectures.
• Write narratives and decisions for executives; communicate trade-offs clearly.
• Mentor TPMs and engineers to raise organizational standards.
• Design AI-native program workflows including status, risk detection and dependency tracking.

Connaissances

Technical PM experience

AI tools fluency

Cross-functional leadership

Architectural design

Program management

Roadmap strategy

AI-assisted workflows

Cloud & distributed systems

Description du poste

The Ring Video Platform Team is seeking a Principal Technical Program Manager to lead multi-year initiatives across cloud services, device firmware and mobile apps from Ring’s Cambridge and London bases.

You will partner with senior engineers and executives to set program strategy, evaluate architectures, and drive AI-native practices that improve customer outcomes while controlling risk and cost.