Google Ads Manager (AI Native)

About us

Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/

About the role

We're a fast-growing consumer AI company giving millions of users access to the world's leading AI models — chat, image, and video generation — under one subscription. We run one of the biggest Google Ads accounts in the world, alongside a major Microsoft Ads (Bing) presence, across 40+ countries and 30+ languages.

We work AI-first: our campaigns are researched, built, and optimized with the help of AI agents (Claude), directed by a human expert. We're looking for that expert.

You'll own the performance of our Google Ads account end to end — structure, keywords, ads, bids, compliance, and growth — using Claude as your daily co-pilot for research, audits, and campaign work.

Key Responsibilities

• Scaling — grow profitable spend across countries, products, and devices; find untapped markets and launch them; manage budgets and targets against real revenue and payback goals.

• Keyword research — build and maintain large-scale keyword systems: discover new opportunities, validate demand, organize keywords into clean clusters (brand vs. generic AI searches), and make sure every new AI model release is covered from day one.

• Ad strength & copy — keep ad quality high across the whole account: ads that mirror what people actually search, strong Ad Strength scores, and quality localization in 30+ languages.

• Campaign structure — design and maintain a clean, scalable account: well-themed ad groups, sensible country tiers, no dead or duplicated inventory, and consistent naming across a very large campaign portfolio.

• Compliance — solid working knowledge of Google Ads policies: trademark rules (we advertise around major AI brand names), misleading-claims policy, and how to prevent — and if needed, appeal — account-level restrictions like Limited Ad Serving.

• Bid management — set and continuously adjust CPA/ROAS targets based on real revenue data per country, device, and campaign — not gut feeling.

• Working with AI — use Claude and AI workflows daily to research keywords, generate and review ad copy, audit the account, and automate the repetitive parts of the job.

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