AI Solutions Lead, Sales Workflows, Devices and Services

Google Google · Big Tech · Mountain View, CA +1

This role focuses on architecting and guiding the AI intelligence strategy for Demand Planning and promotion management systems within Google's Platforms and Devices organization. The goal is to create an AI-native future for commercial platforms by enabling teams, processes, and AI Agents to work together. The Lead will design predictive decision models and actionable insights to enhance business growth and operational efficiency, modernize planning workflows, and improve demand forecast accuracy by leveraging AI. Responsibilities include defining AI goals, product needs for AI-driven tools, leading cross-functional teams to integrate AI into demand planning, implementing solutions using low-code and agentic frameworks, and defining KPIs for AI solutions.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. Implement, prototype, and script solutions using low-code tools and agentic frameworks to accelerate development and validate designs.
  5. Define the KPIs that AI solutions solve core business problems, and align executive stakeholders, ensuring new capabilities land and deliver measurable return on investment.

Skills

Required

  • 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.

Nice to have

  • 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., iPaaS, 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.

What the JD emphasized

  • AI Agents
  • AI intelligence strategy
  • AI to significantly enhance demand forecast accuracy
  • agentic workflows
  • advanced AI-driven scenario modeling
  • integrate AI
  • AI forecasting models

Other signals

  • AI-native future
  • AI Agents
  • AI intelligence strategy
  • predictive decision models
  • AI to significantly enhance demand forecast accuracy
  • agentic workflows
  • advanced AI-driven scenario modeling
  • integrate AI
  • AI forecasting models