Senior Sales Planning & Forecast Manager (AI)

Location: US Remote

Salary: $114,000–$156,000 per year, plus equity and bonus.

Company

hirify.global develops intelligent networking products and connectivity solutions for consumers and businesses.

What you will do

• Own sales forecasting across retail and e-commerce channels, customers, and products.
• Develop weekly, monthly, quarterly, and long-range forecasts using historical sales, POS data, trends, seasonality, promotions, and business inputs.
• Align forecasts with Sales, Finance, Demand Planning, Supply Chain, and Marketing stakeholders.
• Analyze forecast performance, accuracy, bias, variances, risks, opportunities, and emerging trends.
• Lead forecasting for product launches, promotions, product transitions, and other major business events.
• Build and improve reporting, forecasting tools, planning integrations, scenario analysis, and AI-enabled analytics.

Requirements

• 5–8+ years of experience in sales forecasting, demand planning, sales analytics, or a related analytical role.
• Experience owning or leading forecasting processes and working with sales, POS, inventory, and demand data.
• Advanced Excel skills, including pivot tables, formulas, lookups, and data modeling.
• Knowledge of forecast accuracy, bias, variance analysis, and forecast performance metrics.
• Experience with third-party forecasting tools, data platforms, system integrations, and AI tools for analysis or workflow automation.
• Strong analytical, communication, presentation, and cross-functional leadership skills.

Nice to have

• Background in consumer electronics, consumer hardware, or CPG.
• Experience with Tableau, Power BI, or similar BI tools.
• Experience with AI-enabled forecasting, predictive analytics, machine learning, or generative AI.

Culture & Benefits

• High visibility with leadership and commercial teams.
• Ownership of a critical process affecting revenue, inventory, and business performance.
• Opportunity to shape forecasting capabilities, methodologies, tools, and reporting.
• Significant cross-functional exposure across commercial and planning functions.
• Opportunity to apply AI and emerging technologies to real-world forecasting challenges.