Staff Technical Program Manager - AI/ML

PlayStation Global•San Mateo, CA

1d•$225,600 - $338,400

About The Position

Sony Interactive Entertainment is hiring a Staff Technical Program Manager for its AI/ML Engineering organization in San Mateo, California. The organization delivers production machine learning systems at platform scale across areas such as personalization, recommendation, experimentation, and trust and safety, serving a large global user base. Its teams span applied science, AI, ML infrastructure, and engineering, and design, train, deploy, and continuously evaluate production systems. The role leads delivery of AI/ML products and experiences for PlayStation users in an agile environment, working across Engineering, Product, Design, applied science, and data teams. The program manager helps advance technical objectives and architectural initiatives and remains involved throughout the ML lifecycle, from model concept and training through deployment, monitoring, and remediation. The position also coordinates distributed teams and third-party tools supporting ML delivery, and communicates program status, risks, and tradeoffs to technical and non-technical stakeholders.

Requirements

At least 7 years of experience as a technical program manager, including at least 3 years specifically in AI/ML or applied data science delivery.
Bachelor's degree in Computer Science, Engineering, or a related technical field.
Working fluency in the ML lifecycle, including understanding whether deployment issues stem from data quality, infrastructure, or model performance and asking relevant questions.
Track record of running distributed, cross-timezone engineering programs end to end.
Demonstrated ability to drive decisions among senior technical stakeholders without formal authority.
Experience managing day-to-day execution for agile/scrum teams, including sprint planning, backlog health, and velocity tracking.
Strong written and verbal communication skills across highly technical and executive or non-technical audiences.

Nice To Haves

Gaming experience.
Direct experience in a relevant AI/ML domain, such as trust and safety, personalization, recommendation, or experimentation.
Hands-on software development background.
Experience with ML infrastructure tooling, such as feature stores, experimentation platforms, model registries, or MLOps pipelines.
Prior work directly under or alongside engineering leadership.
Curiosity and continued learning about new AI/ML techniques and tooling.

Responsibilities

Own the delivery roadmap for one or more production AI/ML systems, from model concept through training, deployment, and post-launch monitoring.
Define success with business partners before delivery begins.
Work with applied scientists, Data Engineering, and ML Engineering to translate model performance targets—including accuracy, latency, and cost per inference—into program plans with milestones and dependencies.
Drive alignment across engineering, applied science, product, and data analytics on scope, tradeoffs, and sequencing when priorities are ambiguous or contested.
Track post-launch model and system health, adoption, drift, cost, and incident rates, and drive remediation when metrics degrade.
Manage cross-team and cross-timezone dependencies for distributed system and ML teams, surfacing schedule risk early.
Manage vendor and third-party tooling relationships related to ML delivery, including labeling, compute, and evaluation tooling, as well as production readiness and issue tracking.
Communicate program status, risks, and tradeoffs in actionable terms for non-technical stakeholders and credible terms for technical stakeholders.
Identify and resolve conflicts between competing technical approaches or team priorities, escalating only issues that require executive input.
Manage day-to-day execution for agile/scrum teams, including sprint planning, backlog health, and velocity tracking.