招聘
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.
In this role, you will build a new wave of transformation and productivity for teams using Agentic Artificial Intelligence (AI) and Automation platforms. You will be a core member of the global business transformation team, a group responsible for re-imagining the very fabric of how the organization works. The mandate is to drive industry-leading transformation by architecting and implementing a modern orchestration of process, platforms, and pioneering AI. You are the builders and catalysts for creating an autonomous, self-optimizing commercial ecosystem. This role is pivotal in turning goal into reality, focusing on the execution that unlocks the next wave in operational speed, efficiency, and scale.
This role is deeply focused on automation and optimization of complex workflows from back-office operations to front-office sales enablement that power the commercial organization. You will translate strategy into executable designs, build autonomous agents to empower the teams to work faster, smarter, and more strategically.
Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.
The US base salary range for this full-time position is $192,000-$278,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
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Translate product gaol into executable roadmap and technical designs for generative and agentic AI solutions that automate internal sales and commercial workflows.
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Partner with Sales, Partner Management, and Commercial Operations leaders to identify high-impact automation opportunities, and architect end-to-end solutions and workflow automations.
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Lead the design and execution of the solution lifecycle, create detailed requirements documents, workflow diagrams, and integration plans in close collaboration with Engineering.
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Define key performance indicators (KPI) and objective key results (OKR), measure the impact of AI solutions in terms of sales team productivity, operational efficiency, cost savings, and partner satisfaction.
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Collaborate with internal AI/ML research teams, platform teams, and other product areas to leverage Google's exceptional technology and ensure a cohesive internal tooling ecosystem.
Minimum qualifications
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Bachelor's degree in a technical field, or equivalent practical experience.
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8 years of experience in a technical role such as solutions architecture, technical product management, solution program management, or workflow automation.
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Experience with business process re-engineering, workflow automation, and mapping operational systems.
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Experience building and launching internal tools or enterprise-grade platforms for technical and non-technical users in areas such as sales, operations, or finance.
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Experience leading the delivery of the product lifecycle, from initial concept and user research to launch and iteration.
Preferred qualifications
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12 years of experience in a technical or product leadership role, with shipping high-impact solutions in a fluid environment.
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Experience building, prototyping, or integrating solutions powered by AI, machine learning, or large language models (LLMs).
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Experience with automation, integration (i PaaS), or business process management platforms, or scripting languages (e.g., Python, Apps Script) for rapid prototyping.
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Knowledge of sales and commercial operations, particularly within the consumer electronics, retail, or telecommunications industries.
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Excellent communication and stakeholder management skills, with an ability to influence and drive consensus among executive-level business leaders (Director, VP-level).
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关于Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
员工数
Mountain View
总部位置
$1,700B
企业估值
评价
3.7
25条评价
工作生活平衡
3.8
薪酬
4.2
企业文化
3.4
职业发展
3.9
管理层
2.8
68%
推荐给朋友
优点
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
缺点
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
薪资范围
57,502个数据点
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0份报告
$176,704
年薪总额
基本工资
-
股票
-
奖金
-
$150,298
$203,110
面试经验
9次面试
难度
3.4
/ 5
时长
14-28周
录用率
44%
体验
正面 0%
中性 56%
负面 44%
面试流程
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
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