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职位Google

AI Solutions Lead, Sales Workflows, Devices and Services

Google

AI Solutions Lead, Sales Workflows, Devices and Services

Google

·

On-site

·

Full-time

·

2w ago

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.

The Global Business Transformation team is building the AI-native future of Google's Platforms and Devices organization (e.g., Android, Chrome, Pixel, nest, and fitbit). We are on a mission to create the industry’s most efficient commercial platform by unlocking a new era of productivity where teams, processes, and AI Agents work as one.

As a Demand Planning and AI Solutions Lead, you will architect and guide the AI intelligence strategy for Demand Planning and promotion management systems for the platform and devices organization. You will empower our Sales teams by designing predictive decision models and actionable insights to accelerate business growth and maximize operational efficiency. You will advocate the modernization of complex planning workflows, fostering seamless cross-functional collaboration and leveraging AI to significantly enhance demand forecast accuracy.
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

  • Define the goal for how to blend AI intelligence with actionable insights, moving beyond basic reporting to dynamic, predictive, and agentic workflows that empower sales teams.

  • Define the product needs for advanced AI-driven scenario modeling and simulation tools, and work closely with engineering and technical leads to build and successfully land capabilities for the sales teams.

  • Lead cross-functional teams to overhaul and modernize demand planning workflows by translating planning requirements into a technical product strategy and drive the on-ground execution to integrate AI, improve forecasting accuracy, and ensure seamless operational alignment across the organization.

  • Implement, prototype, and script solutions using low-code tools and agentic frameworks to accelerate development and validate designs.

  • Define the KPIs that AI solutions solve core business problems, and align executive stakeholders, ensuring new capabilities land and deliver measurable Return on Investment.

Minimum qualifications

  • Bachelor's degree in a technical field, or equivalent practical experience.

  • 8 years of experience in program management.

  • Experience with machine learning and software development life cycle development.

  • Experience in demand planning or sales forecasting.

Preferred qualifications

  • 8 years of experience managing cross-functional or cross-team projects.

  • Experience developing and executing AI, machine learning, or advanced analytics strategies within a commercial, sales, or demand planning environment.

  • Experience building and deploying automated insight generation, Large Language Model (LLM) motivated analytics, and AI forecasting models within enterprise sales dashboards.

  • Experience integrating AI systems with enterprise platforms (e.g., enterprise resource planning, CRMs) via APIs.

  • Proficiency with automation/integration platforms (e.g., i PaaS, Business Process Management (BPM)) and scripting languages (e.g., Python, Apps Script) for prototyping.

  • Knowledge of sales, commercial, or supply chain operations, within the consumer electronics or retail industries.

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关于Google

Google

Google

Public

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