Technical Program Manager, AI Data

Google Inc.; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Google Inc. is seeking a Technical Program Manager in Bangalore, India, to lead complex projects across multidisciplinary teams. In this role, you will leverage your technical expertise in AI to manage workflows, assess risks, and communicate effectively with stakeholders.

The ideal candidate has a Bachelor's degree in a technical field and at least 5 years of program management experience. Knowledge in AI model operations is beneficial. Join Google and contribute to creating opportunities for users globally.

Qualifications

• 5 years of experience in program management required.
• Experience with large-scale data management is preferred.
• Familiarity with AI model training and evaluation is a plus.

Responsibilities

• Lead program execution for AI data management.
• Collaborate with cross-functional teams on project requirements.
• Communicate project status updates to executives.
• Prioritize features and align stakeholders.
• Exhibit technical leadership to enhance project efficiency.

Skills

Program management

English proficiency

Cross-functional project management

Data management

Quantitative analysis

Education

Bachelor's degree in a technical field

Job description

Requirements

• Bachelor's degree in a technical field, or equivalent practical experience.
• 5 years of experience in program management.
• English proficiency is a requirement for all roles unless stated otherwise.

Preferred Qualifications

• 5 years of experience managing cross‑functional or cross‑team projects.
• Experience with large‑scale data management.
• Experience with quantitative analysis and cost‑effectiveness assessment techniques.
• Familiarity with AI model training, testing, evaluation, and tuning processes.
• Knowledge of data quality metrics and KPIs for AI products.

About the Job

A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi‑disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross‑functional partners across the company. You’re equally comfortable explaining your team’s analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

Mission of the Team

The ML Data organization was formed at the beginning of 2024 with a focus on improving ML data operations, governance, and responsible practices across Google. Our ML Data teams collaborate with other teams such as Cloud, Core, Google DeepMind, Google Research, gTech, Knowledge and Information (K&I) and Labs.

Role Overview

In this role, you will collaborate with cross‑functional teams and product leadership to harness data and data systems to accelerate the development of extensive ML models. You will provide easy access to high‑quality data for any AI task, whether it’s human, synthetic, licensed, or Google native. You’ll secure AI models with tamper‑proof lineage, transparent approvals, and secured storage to accelerate, accountable product and model launches. You will also evaluate, track, remediate, and prevent the recurrence of safety risks.

Responsibilities

• Lead program execution: lead programs for tamper‑proof lineage, transparent approvals, and secured storage; additionally, you may lead programs in evaluation of safety risks and data acquisition.
• Collaborate with cross‑functional teams: work with engineering, product management, and other partners to define all workstreams, requirements, schedules, resources, and milestones.
• Communicate effectively: provide project status updates to various audiences, including cross‑functional teams and executives.
• Prioritize and align: drive feature planning and build cohesion and alignment across stakeholders.
• Exhibit technical leadership: demonstrate technical knowledge and thought leadership to enhance project efficiency.

Google is proud to be an equal‑opportunity and affirmative‑action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google’s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.