cover image
Google

Google

goo.gle

98 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
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
Company background Company brand
Company Name
Google
Job Title
Software Engineer, Threat Infrastructure and Detection, AI Security
Job Description
Job Title Software Engineer, Threat Infrastructure and Detection, AI Security Role Summary Design, build, and maintain scalable system components for the Event Threat Detection (ETD) platform, focusing on automated threat generation, data pipelines, and advanced detection logic to protect AI‑centric services on the cloud. Expectations - Deliver production‑grade code in a high‑volume, secure environment. - Rapidly troubleshoot and resolve incidents, including on‑call duties. - Collaborate with cross‑functional teams (security, ML, infrastructure). - Continuously improve threat models and detection capabilities. Key Responsibilities - Architect and optimize large‑scale data pipelines for real‑time security monitoring. - Develop, test, and deploy modules that generate and simulate malicious activities to expose control gaps. - Implement detection logic that mitigates evolving attack vectors against core AI services. - Maintain system health, participate in on‑call rotations, and resolve production issues swiftly with a security mindset. Required Skills - 2+ years software engineering experience (or 1 year with an advanced degree). - Expertise in designing and operating distributed systems or real‑time data processing pipelines. - Proficiency in back‑end development: Java or Go. - Experience in ML engineering: Java, Go, or Python. - Familiarity with cloud (GCP), build, and security infrastructure. - Knowledge of OWASP Top 10, MITRE ATT&CK, and common security threats/vulnerabilities. Required Education & Certifications - Bachelor’s degree in Computer Science or related field, or equivalent practical experience. - Master’s degree or PhD preferred for advanced roles. - Certifications in cybersecurity or cloud technologies (e.g., Google Cloud, AWS, or security frameworks) welcomed but not mandatory.
Sunnyvale, United states
On site
Junior
30-12-2025