Automation Engineering Manager
Job Description & How to Apply Below
Tubi is one of the largest free streaming platforms in the US, serving a large-scale streaming audience across Web, iOS, Android, Roku, Fire TV, Apple TV, and game consoles. Quality at this scale isn’t a checkbox — it’s a competitive advantage.
We’re looking for an Automation Engineering Manager to lead the team responsible for building and operating Tubi’s multi-platform test automation infrastructure. You will own the strategy, tooling, and execution quality across our client surfaces — from video playback and ad delivery to content discovery and onboarding.
This role is for a hands‑on technical leader who can set direction, influence cross‑functional roadmaps, and stay close enough to the code to guide architecture, review critical implementation decisions, and unblock complex technical issues. You will build a team that ships reliable automation at speed — and you will help the team move toward AI‑native automation practices: fluent in AI tooling, proactive about applying it, and disciplined about using it responsibly.
This is a hybrid role based out of either our San Francisco or Toronto office. You must be willing to travel to either location at least 2 days a week.
What You’ll Do
Test Strategy & Quality Planning
Define and own Tubi’s multi‑platform automation strategy — covering Web, iOS, Android, CTV (Roku, Fire TV, Apple TV, Smart TVs, game consoles), and API layers.
Establish testing standards, coverage targets, and quality gate policies across the CI/CD pipeline to protect release confidence and production reliability.
Design specialized test strategies for business‑critical scenarios: video playback (HLS/DASH), ad insertion, content recommendation surfaces, and user authentication flows.
Use AI‑assisted analysis (e.g., failure pattern clustering, test gap detection) to continuously improve test strategy based on real production signal and defect trends — not gut instinct.
Automation Framework & Infrastructure
Lead the design and maintenance of scalable, cross‑platform automation frameworks built for Tubi’s unique device matrix and streaming use cases.
Ensure automation suites are reliable, fast, and integrated as quality gates in CI/CD — owning execution health, not just test coverage numbers.
Continuously build and evolve AI‑augmented engineering workflows/system that fundamentally change how the team creates, maintains, and improves automation — going beyond adopting existing tools to designing new patterns, custom integrations, and repeatable practices that raise the team’s output ceiling.
Own the team’s AI capability growth: identify high‑leverage AI applications in the automation lifecycle (e.g., AI‑assisted test case generation, intelligent flaky cases detection, regression root cause summarization), prototype them, and codify them into team standards.
Evaluate and selectively adopt emerging testing tools and AI‑for‑testing innovations. Translate promising external ideas into concrete, team‑specific workflows, and make sure adoption leads to measurable improvements in speed, reliability, and engineering quality.
Team Leadership & Growth
Manage and grow a team of automation engineers: set clear individual goals, run regular 1:1s, create concrete career development plans, and hold a high bar for technical execution.
Actively mentor engineers on AI‑augmented engineering practices — including prompt engineering, AI‑assisted debugging, and responsible review of AI‑generated code — so that AI becomes a multiplier, not a shortcut.
Drive consistent AI tool adoption across the team; share workflows and learnings org‑wide to spread impact beyond the immediate team.
Foster a culture of continuous improvement: encourage experimentation, normalize blameless retrospectives, and track team health alongside delivery metrics.
Stay current on AI technology trends — proactively surface relevant tools, research, and practices to the team and translate them into actionable process improvements.
Cross‑Functional Collaboration & Reporting
Partner with QA leads, engineering managers, and product managers to clarify testing requirements, flag quality risks early, and align on release readiness criteria.
Re…
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