Technical Lead Jobs in Mountain View, CA

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.

Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

Responsibilities

• Drive long-term engineering strategy, incorporating organizational business priorities and technological shifts, such as new AI capabilities.
• Own key technical decisions based on your expertise, guiding the team through important design tradeoffs, short term/long term strategy, system health, and risk management.
• Identify system hotspots to improve the organization's technical health, ensuring the calculated investments are made to remove widely-felt barriers to productivity/feature throughput.
• Invest in growing the next generation of technical leaders through direct coaching, scalable mentorship initiatives.
• Work cross-functionally to ensure features are built consistently across different surfaces working closely with YouTube organic, quality, client infrastructure teams.