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Google

Google

goo.gle

96 Jobs

313,199 Employees

About the Company


A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Check out our career opportunities at goo.gle/3DLEokh

Listed Jobs

Company background Company brand
Company Name
Google
Job Title
Software Engineer II, AGSA Feature Platform
Job Description
Job Title Software Engineer II, AGSA Feature Platform Role Summary Senior‑level developer focused on creating, enhancing, and optimizing features for the AGSA platform, with a strong emphasis on Android mobile development, data structures, algorithms, and accessible technology integration. Expectations - Minimum 1 year of software development experience in at least one language (Python, C, C++, Java, JavaScript). - Minimum 1 year experience with data structures, algorithms, and Android application development. - Bachelor’s degree or equivalent practical experience. - Familiarity with Kotlin and accessible development practices preferred. Key Responsibilities - Design, implement, and maintain robust Android and platform code. - Lead or participate in design reviews, evaluating technology choices and architectural trade‑offs. - Conduct code reviews, enforce style guidelines, ensure testability and performance. - Maintain and update documentation, adapting to product changes and user feedback. - Triage and debug product/system issues, analyzing root causes and impact across hardware, network, or service layers. Required Skills - Proficiency in Python, C/C++, Java, JavaScript; solid understanding of Android SDK. - Experience with Kotlin and Android app lifecycle, UI/UX, and accessibility features. - Strong grasp of data structures, algorithms, and performance optimization. - Knowledge of coding best practices, unit testing, continuous integration, and code review tools. - Effective communication and collaboration in a cross‑functional team environment. Required Education & Certifications - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent hands‑on experience.
London, United kingdom
On site
Fresher
18-12-2025
Company background Company brand
Company Name
Google
Job Title
Business Data Scientist, AI/ML, Google Cloud
Job Description
Job title: Business Data Scientist, AI/ML, Google Cloud Role Summary: Design, develop, and deploy predictive, personalized, and proactive AI/ML solutions—especially large language models (LLMs) and intelligent autonomous agents—to drive customer success at scale. Expectations: • Build and maintain production‑ready AI/ML models, focusing on LLMs and agent architectures. • Translate business problems into technical AI requirements and measurable outcomes. • Monitor model performance, detect drift, and ensure scalability on Google Cloud. • Communicate findings clearly to both technical and non‑technical stakeholders. Key Responsibilities: - Develop and deploy predictive, personalized, and proactive customer support AI/ML products. - Design, evaluate, and iterate on LLM‑based models and autonomous agents tackling business challenges. - Establish evaluation frameworks and metrics for model and agent performance, including task completion and reasoning quality. - Monitor deployed solutions, track KPIs, troubleshoot issues, and maintain system stability. - Collaborate with stakeholders to identify new AI/ML opportunities and translate them into technical specifications. Required Skills: - 3+ years data science experience with a focus on ML and NLP. - Proficiency in Python and libraries such as TensorFlow, PyTorch, scikit‑learn, and Hugging Face. - Hands‑on experience with LLMs, generative AI, or intelligent autonomous agents. - Familiarity with Google Cloud Platform and its AI/ML services. - Strong analytical and programming skills, with the ability to translate data into actionable insights. Required Education & Certifications: - Master’s degree in a quantitative discipline (Statistics, Engineering, Sciences) or equivalent practical experience. - Ph.D. in Computer Science, AI, ML, or related field preferred. - Relevant certifications (e.g., GCP Professional Cloud Data Engineer) are desirable.
Waterloo, Canada
On site
Junior
24-12-2025
Company background Company brand
Company Name
Google
Job Title
Brand Marketing Manager, Students and Learning
Job Description
**Job Title:** Brand Marketing Manager, Students and Learning **Role Summary:** Lead brand marketing strategy for AI literacy and learning tools targeting K-12 learners, educators, and industry stakeholders. Drive global campaigns to reinforce Google’s position as a leader in educational AI innovation. **Expectations:** - 4+ years in marketing roles (growth, product, or brand) with focus on education/technology. - Proven experience managing cross-functional projects and launching campaigns for K-12 audiences. - Demonstrated ability to research user needs, analyze competition, and translate insights into strategic narratives. - Data-driven decision-making through KPI tracking and impact measurement. **Key Responsibilities:** - Develop and execute end-to-end marketing strategies for AI literacy programs and tools, leveraging cultural moments for engagement. - Collaborate with cross-functional teams to design cohesive GTM plans for product launches and learning initiatives. - Create thought leadership content (toolkits, demos, talking points) for policymakers and educators. - Lead market research and competitive analysis to identify trends and shape brand differentiation. - Define and measure KPIs to evaluate campaign effectiveness and optimize strategy. **Required Skills:** - Brand/product marketing experience with K-12 stakeholders. - Campaign launch expertise in education or tech (AI literacy, digital learning tools). - Cross-functional project management capabilities. - Strategic communication and storytelling. - Proficiency in data analysis and KPI development. **Required Education & Certifications:** - Bachelor’s degree or equivalent in marketing, education, or related field. - No certifications specified.
New york, United states
On site
Junior
27-12-2025
Company background Company brand
Company Name
Google
Job Title
Associate Strategic Security Consultant, Mandiant (English)
Job Description
Job title: Associate Strategic Security Consultant Role Summary: Deliver cyber‑security strategy and technical consulting to clients, focusing on cloud security, AI security, and incident response. Provide governance guidance, risk assessments, and threat‑hunting services while advocating for robust security controls and best‑practice frameworks. Expectations: Work independently and lead complex engagements with cross‑functional teams; travel up to 30 %; communicate effectively in English; present technical solutions to business stakeholders and executives; deliver measurable improvements to client security posture. Key Responsibilities: • Develop cloud security roadmaps, governance policies, and standards. • Integrate AI security, DevSecOps, zero‑trust design, and incident‑response frameworks into client architectures. • Conduct security configuration reviews for SaaS platforms. • Lead forensic analysis, threat hunting, malware triage, and advanced red‑team emulation. • Advocate for information‑security requirements and articulate findings to non‑technical audiences. • Manage timelines, deliverables, and project scope for client engagements. Required Skills: • Proficient in cloud security (AWS, Azure, GCP) and governance. • Strong knowledge of AI security, application security, cyber defense, and threat‑hunting tools. • Ability to assess and design security solutions across multiple domains. • Excellent communication, presentation, and stakeholder‑management skills. • Solid project and time‑management capabilities. Required Education & Certifications: • Bachelor’s degree in Computer Science, Information Systems, Cybersecurity, or equivalent practical experience. • Industry‑standard certifications (e.g., CISSP, CISM, GCP Professional Cloud Security Engineer, Azure Security Engineer Associate) are preferred.
Toronto, Canada
On site
30-12-2025