Senior Staff Technical Program Manager – AI Platform/OS

Role Overview

• Own end-to-end execution of internal platform initiatives across the Trase operating system, translating ambiguous work across infrastructure, runtime systems, and AI/ML workflows into clear, actionable plans while ensuring alignment across Engineering, DevOps/SRE, DevEx, and Product.
• Identify and manage cross-team dependencies across services, cloud infrastructure, and AI pipelines, sequencing work to minimize blocking dependencies, reduce integration risk, and avoid rework.
• Establish and maintain a lightweight operating rhythm that drives execution, including milestone tracking, execution reviews, and release readiness checkpoints, ensuring teams have clear priorities, defined success criteria, and visibility into risks.
• Partner with DevOps and SRE to ensure releases are safe, validated, and traceable, and that platform and AI/ML changes are observable, auditable, and ready for production environments; drive go/no-go decisions based on system readiness and risk.
• Proactively identify and manage system-level risks across infrastructure, deployment systems, AI/ML pipelines, and runtime behavior, ensuring mitigation strategies are in place before issues impact delivery.
• Define and track key execution and reliability signals, including delivery predictability, release success rates, dependency resolution, and system health, acting as the source of truth for execution status and risk.
• Continuously improve engineering execution by identifying inefficiencies in CI/CD workflows, testing and integration systems, and AI workflow evaluation, partnering with DevEx and DevOps to increase developer velocity, release safety, and overall system reliability.

Requirements

• 12+ years of experience in technical program management, engineering, or related roles
• Experience working on distributed systems, cloud infrastructure, CI/CD and deployment systems
• Strong understanding of DevOps / SRE workflows, system dependencies and failure modes
• Demonstrated ability to break down ambiguous technical problems, drive execution across teams, influence without authority
• Strong technical fluency with ability to read and understand production code, reason about system architecture and APIs, engage in technical tradeoff discussions
• Experience with or exposure to AI/ML systems and LLM-based workflows, AI infrastructure (inference, evaluation, orchestration)
• Ability to write code when needed (for debugging, validation, or prototyping), though not a primary responsibility
• Experience working closely with DevOps / SRE teams, platform engineering teams (Strongly Preferred)
• Familiarity with Kubernetes, Infrastructure-as-Code, observability systems (Strongly Preferred)
• Experience in regulated or high-security environments (Strongly Preferred)
• High ownership and accountability

Tech Stack

• Cloud
• Distributed Systems
• Kubernetes

Benefits

• Career track opportunity with potential for rapid advancement with strong performance as the firm grows
• 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family.
• Paid maternity and paternity for 14 weeks at employees' normal pay.
• Unlimited PTO, with management approval.
• Opportunities for professional development and continued learning.
• Optional 401K, FSA, and equity incentives available.
• Mental health benefits are available through Tara Mind.
• Cost effective GLP-1 solutions available through Crux.