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Added 10 mins ago
YT
Manager of 1st Stop Woodlawn – Residential Support and Client Services
YWCA Toronto
Toronto, ON
- $87,217 to $100,475 CAD / year
- Temporary
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Added 26 mins ago
YT
Manager of 1st Stop Woodlawn – Residential Support and Client Services
YWCA Toronto
Toronto, ON
- Temporary
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Staff Technical Program Manager - AI/ML
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Added 3 hours ago
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PlayStation Global

Staff Technical Program Manager - AI/ML

Waterloo, ON, Canada

$158,300 - $237,500 CAD

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Job details

Pay: $158,300 - $237,500 CAD
Posting language: English
Posted: Nov 3, 2026

Original job description

Why Sony Interactive Entertainment?

Sony Interactive Entertainment isn’t just the Best Place to Play - it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.

Staff Technical Program Manager - AI/ML

Waterloo, ON

Do you want to join an AI/Machine Learning Engineering team committed to delivering the PlayStation experience for millions of users? The work we do delivers impactful insights to build an increasingly dynamic and interactive experience! The AI/ML Engineering Group delivers optimized interactions across PlayStation experiences and systems by designing, coding, training, documenting, cost-effectively deploying and evaluating very large-scale machine learning systems.

We are looking for a Staff Program Management who helps us deliver delightful AI and ML products and experiences for millions, in an agile environment, collaborating with teams-across Engineering, Product and Design. Further, you will be immersed in AI/ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives

This role sits inside an AI/ML Engineering organization delivering production machine learning systems at platform scale, personalization, recommendation, experimentation, or trust & safety models serving a large, global user base. The team designs, trains, deploys, and continuously evaluates prooducts in production, spanning applied science, AI, ML infrastructure, and engineering.

Key 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.

Required Qualifications

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 Qualifications

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.

In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more.

The estimated base pay range for this role is listed below.

$158,300 - $237,500 CAD

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

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More about this job

Responsibilities

Own the delivery roadmap for AI/ML systems from concept through deployment and post-launch monitoring. Drive alignment across engineering, applied science, and product teams to manage dependencies and resolve technical priorities.

Requirements

Requires 7+ years of technical program management experience with at least 3 years in AI/ML or applied data science. A bachelor's degree in Computer Science, Engineering, or a related field is mandatory.

Skills

Technical program management
AI/ML
Machine learning lifecycle
Agile
Scrum
Data engineering
ML infrastructure
Cross-functional leadership
Stakeholder management
Product roadmap
System health monitoring
Applied science
Project management
Software development
Technical communication

Benefits

Medical
Dental
Vision
Matching 401(k)
Paid time off
Wellness program
Employee discounts

Visa sponsorship

Not detected in the job text

Keywords

AI
Machine Learning
Technical Program Manager
PlayStation
Agile
Scrum
MLOps
Feature stores
Experimentation platforms
Model registries
Data engineering
Latency
Inference
Trust & safety
Personalization
Recommendation systems
Software development
Product management
Cross-timezone collaboration
Distributed systems

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