Staff Technical Program Manager - AI/ML

USA-CA-San Mateofull time

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senior

$207k–$310k

H1B: yes

Sony Interactive Entertainment The Staff Technical Program Manager - AI/ML manages delivery roadmaps for AI/ML systems from concept through deployment and post-launch monitoring. This role collaborates across engineering, applied science, product, and data analytics teams to drive alignment and manage dependencies in a global AI/ML engineering organization.

Responsibilities

Own the delivery roadmap for one or more AI/ML systems in production, from model concept through training, deployment, and post-launch monitoring.
Define success with our business partners before delivery begins
Partner with applied scientists, Data Engineering, and ML Engineering to translate model performance targets (accuracy, latency, cost-per-inference) into a program plan with clear 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 model and system health post-launch, adoption, drift, cost, and incident rate — and drive remediation when metrics degrade, rather than treating launch as the finish line
Manage cross-team and cross-timezone dependencies for distributed system and ML teams, surfacing schedule risk early
Own vendor and third-party tooling relationships that intersect with ML delivery (labeling, compute, evaluation tooling), including production readiness and issue tracking
Communicate program status, risk, and tradeoffs in terms non-technical stakeholders can act on, and in terms technical stakeholders will trust
Identify and resolve conflicts between competing technical approaches or team priorities, escalating only what genuinely requires executive input.

Qualification

7+ years as a technical program managerBachelor's degree in Computer ScienceWorking fluency in the ML lifecycleTrack record of running distributedGaming Experience is a PlusAt SIE

Required

7+ years as a technical program manager, with at least 3 years specifically on 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, can understand why a deployment might be blocked on data quality vs. infra vs. model performance, and ask the right question in each case
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 across both highly technical and executive/non-technical audiences

Preferred

Gaming Experience is a Plus
Direct experience in the specific AI/ML domain named for this role (e.g, trust & safety, personalization, recommendation, experimentation).
Hands-on software development background
Experience with ML infrastructure tooling (feature stores, experimentation platforms, model registries, MLOps pipelines)
Prior work directly under or alongside engineering leadership
Demonstrated curiosity to continuing to learn new AI/ML techniques and tooling
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.

Benefits

Dental
Vision
401(k)
PTO
Wellness

Company

Sony Interactive Entertainment

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