AutoStore™

Sales

• Drive annual and quarterly worldwide sales planning, including priorities, targets, budgets, goals, and KPIs
• Translate company strategy and business performance into worldwide sales priorities and investment choices
• Establish business rhythms for performance reviews, strategic priorities, leadership meetings, and decision-making
• Develop strategy papers, executive narratives, and recommendations for complex business decisions
• Build decision-grade views of sales performance across pipeline, conversion, velocity, win/loss, customers, partners, regions, segments, and growth motions
• Develop account insights and intelligence covering customer growth, investments, facilities, networks, buying signals, installed-base opportunities, and market dynamics
• Identify patterns, risks, leading indicators, growth opportunities, and whitespace
• Use AI-assisted research, analytics, modeling, and pattern detection to turn intelligence into priorities and action
• Lead role, capacity, coverage, and fiscal planning for the worldwide sales organization
• Partner with Finance on budget, OPEX, forecast variances, and optimization opportunities
• Shape and drive transformation initiatives through measurable business impact
• Modernize manual, spreadsheet- and email-heavy workflows
• Identify and scale AI, automation, and agentic workflows across sales intelligence, planning, seller productivity, and operations
• Maintain visibility into high-priority sales and Commercial Acceleration initiatives, outcomes, dependencies, risks, and decisions
• Serve as strategic thought partner to the VP, Commercial Acceleration and worldwide sales leadership
• Connect teams across regions and functions to move priorities from idea to action and measurable impact

Director, WW Sales Transformation

Manager

• Establish and manage an integrated portfolio of strategic commercial and customer journey initiatives
• Develop governance, intake, prioritization, and portfolio management processes aligned with business priorities
• Maintain visibility into objectives, ownership, milestones, dependencies, risks, resource requirements, and expected outcomes
• Provide leadership with fact-based recommendations on prioritization, sequencing, investment decisions, and trade-offs
• Create and operate governance frameworks, decision-making processes, escalation paths, and review cadences
• Prepare executive-level portfolio updates and decision materials
• Support annual and quarterly planning by connecting strategic priorities to initiatives
• Lead high-priority transformation programs across Sales, Marketing, Customer Success, Partner Management, Product, Operations, IT, Data & Analytics, and AI
• Build integrated plans covering business process, technology, data, governance, enablement, communications, and adoption
• Manage cross-functional dependencies, risks, decisions, actions, and milestones
• Facilitate stakeholder alignment and decision-making from strategy and design through accountable delivery
• Ensure initiatives support the target customer journey and commercial operating model globally
• Identify duplication, gaps, conflicting priorities, and operational complexity
• Drive stakeholder engagement, organizational readiness, and change adoption
• Establish portfolio reporting and success metrics focused on business outcomes, value realization, and measurable impact
• Monitor performance and recommend acceleration, redesign, consolidation, or closure
• Conduct post-implementation reviews and apply lessons learned

Senior Manager, Commercial Excellence – PMO

Analytics Engineer

• Build and maintain Silver and Gold-layer data products for the Commercial domain in Databricks
• Turn enterprise data into reliable, reusable models, metrics, and datasets for reporting and analytics
• Work with Commercial stakeholders to understand business needs and define KPIs and analytical solutions
• Partner with the IT Data team to align data products with enterprise platforms, architecture, pipelines, and engineering standards
• Own data quality, documentation, lineage, and governance for key Commercial datasets and metrics
• Investigate data and BI issues across source systems, transformation layers, and reporting
• Replace recurring manual fixes with sustainable data-model or transformation improvements
• Establish analytics engineering standards and AI-ready data foundations
• Support future advanced analytics and GenAI use cases

Director, WW Sales Transformation

Senior Manager, Commercial Excellence – PMO

Senior Enterprise Analytics Engineer – Commercial