Staff Technical Program Manager taking Webflow’s AI - native products from prototype to general availability. Building scalable execution systems across engineering, product, design, and go - to - market.
About the role
- Senior Technical Program Manager responsible for overseeing engineering initiatives and process design for AI Inference Core at Cerebras. Focused on cross-team coordination and technical execution without direct authority.
Responsibilities
- Define how features move from development and feature qualification into release integration testing and release qualification, including owners, entry and exit criteria, required evidence, dependencies, and exception paths.
- Own the operating mechanism for pre-merge and post-merge E2E stability: publish health, track SLA breaches, drive triage and escalation, document decisions, and close recurring-failure loops.
- Convert Inference Core priorities into clear goals, milestones, owners, risks, success measures, and review cadences while maintaining one dependable view of commitments.
- Coordinate planning and execution across release integration testing, Core Infrastructure, feature teams, release owners, and partner organizations; synchronize roadmaps, staffing, and cross-team dependencies.
- Build and maintain dashboards, SLA reporting, dependency maps, risk registers, decision logs, action tracking, and executive-ready status communication.
- Drive timely decisions and follow-through on blocked or slipping work, surfacing trade-offs and escalating when teams cannot resolve issues at the working level.
- Continuously improve the operating model using delivery data, retrospectives, recurring-failure patterns, stakeholder feedback, and changes in business priorities.
Requirements
- Significant experience leading complex technical programs across multiple engineering teams, ideally in infrastructure, distributed systems, platforms, release engineering, or AI systems.
- Strong technical fluency and the ability to understand architecture, system dependencies, quality evidence, operational risk, and engineering trade-offs.
- Proven ability to design and implement durable operating mechanisms, not merely report status or schedule meetings.
- Experience defining goals, milestones, ownership, entry and exit criteria, SLAs, risk management, and executive review cadences.
- Ability to influence technical leaders and teams without direct authority while preserving clear engineering ownership.
- Strong analytical skills and experience using metrics, dashboards, and qualitative evidence to improve execution and decision quality.
- Exceptional written and verbal communication, including concise executive synthesis and clear escalation under ambiguity or pressure.
Benefits
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
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