G

Google

Runs Search and YouTube and builds Gemini AI

Tech Process Senior Specialist - Multiple Teams

Customer Education & Training +1Confirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • A bachelor’s degree or equivalent practical experience.
  • At least 6 years of experience in project or program management, technical consulting, or a client-facing role.
  • At least 4 years of experience specifically within the Ads Product ecosystem.
  • Experience in end-to-end Campaign Operations and Performance Diagnostics, including media planning, traffic analysis, and real-time optimization.
  • A proven track record of performing root cause analysis on complex delivery issues and translating technical troubleshooting into customer-centric solutions.
  • Strong written and oral communication, with experience interfacing with Engineering and Product teams.
  • Experience in content development or knowledge management, focused on translating internal product specifications into actionable support content and instructional materials for iterative product releases.

Responsibilities

  • Resolve the most critical technical consults, architect the knowledge management framework for new product launches (Beta), and upskill GOC and partner teams to ensure high-quality support.
  • Act as the final point of escalation for critical and complex technical consults, ensuring end-to-end ownership and resolution for Google customers.
  • Own the end-to-end bug reporting lifecycle, translating complex technical failures into high-quality bug reports for Engineering with technical requirements, reproduction steps, and impact assessments.
  • Partner with the Product Enablement Team and Center of Excellence team to co-create, update, and audit troubleshooting content and documentation for current products and new Beta releases.
  • Collaborate with Product Managers, Engineering, and Centers of Excellence to provide strategic feedback based on support trends, and lead root cause analysis to advocate for product and process improvements.
  • Develop and deliver formal training, Train-the-Trainer sessions, and certification programs to build product expertise across GOC L1 and partner teams.
  • Manage Agent Assist pilots for relevant new product launches, validate AI-generated support outputs, model domain knowledge to improve automated support tools, and test outputs for upcoming product features.
  • Analyze complex datasets to identify systemic issues and performance trends, and translate insights into actionable business recommendations to enhance the customer journey.
  • Drive a culture of mentorship, guide frontline subject matter experts on product nuances, and foster a collaborative, globally dispersed team environment.
  • Support agents by troubleshooting advanced technical issues and focusing on efficiency and product improvement; handle final-level consults from respective PAs to provide correct solutions for Account Managers and end customers.
  • Handle escalations from the Sales team to resolve high-priority tickets.
  • Support new product launches, including Closed and Open Beta, by resolving client technical issues, creating launch content, and capturing and disseminating knowledge about new features across GOC and partners.

Desired Qualifications

  • Demonstrated experience in data analysis and interpretation, such as SQL or PLX.
  • Ability to apply expertise across Google Ads products, including Search, Video, Display, Mobile, and Commerce, and platform analytics and tools.
  • A proven track record of navigating interdependent processes and making customer-prioritized decisions in ambiguous situations.
  • Interpersonal skills to manage senior stakeholders and competing priorities under tight deadlines.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1998

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