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Overjoy, a fast-growing AI-native sales partner for SMBs, seeks a seasoned Demand Planner in New York City. You will build SKU- and location-level forecasts, translate demand into actionable replenishment recommendations, and manage safety stock and service targets to balance supplier constraints and wholesale realities.
You will work with product and engineering to test AI-assisted forecasts, ensuring accuracy, reducing stockouts, and optimizing inventory turns while collaborating with
Overjoy is an AI-native sales company for SMBs. We began as a sales platform for consumer brands, then expanded to running the full sales process end-to-end and selling the outcome.
Every consumer brand needs a wholesale department: someone to find the right retailers, reach out, close the account, and keep it reordering. For most brands that department is too expensive to hire. Overjoy runs it for them with people, AI agents, and the software we spent years building for exactly this job.
Over 800 brands like Nature's Path, Milk Bar, and Simply Gum use Overjoy to grow wholesale revenue.
We're backed by Bessemer, OSV, Floodgate and founders of Thumbtack, CareRev, Ando, and Unsupervised - and 6 of our own customers invested after using the product.
Our site: https://overjoy.ai/
This is a full-time, in-person role based in New York City.
A fast-growing brand needs enough inventory to meet demand without tying up its cash in products that won't sell. You'll help customers make those tradeoffs through better forecasts, replenishment decisions, and exception management.
You'll own planning workflows with consumer brand operators and work alongside Overjoy's product and engineering teams to turn your planning expertise into AI-assisted tools. You'll combine sound judgment with detailed analysis, making sure recommendations reflect supplier constraints, shelf life, and the realities of wholesale demand.
Build SKU- and location-level demand forecasts using sales history, retail launches, seasonality, promotions, and customer commitments.
Translate demand into replenishment and purchase recommendations that account for lead times, minimum order quantities, case packs, production capacity, and cash constraints.
Set and refine safety stock, reorder points, and service targets; identify stockout risk, excess inventory, aging stock, and potential expiry.
Reconcile inventory across ERP, warehouse, distributor, and sales data, resolving mismatches with the teams responsible for the source systems.
Run planning reviews with customers and coordinate approved actions with purchasing, production, sales, and logistics teams.
Partner with engineering to test AI-assisted forecasts and exception alerts, compare recommendations with baselines, and track forecast bias, service levels, inventory turns, and write-offs.
6+ years in demand planning, supply planning, inventory management, or supply chain consulting, with responsibility for a substantial SKU portfolio.
Strong understanding of forecasting, replenishment, safety stock, inventory economics, and sales and operations planning.
Experience in consumer products, retail, wholesale, or another business with variable demand and physical inventory.
Advanced spreadsheet skills and experience with ERP, inventory, or planning systems; SQL or BI tools are a plus.
Ability to explain uncertainty, weigh service levels against working capital, and make practical recommendations with incomplete data.
Experience introducing planning automation or AI-assisted analysis; perishable goods expertise or an ASCM certification is a plus.
Annual base salary of $140,000-$170,000 USD, based on relevant experience and role-related skills.
Health, dental, and vision insurance (U.S.).
Free lunch.
The opportunity to shape a new role at the intersection of domain expertise, customer outcomes, and AI.