Sr. Product Manager | Forecasting (Blue Apron)

Wonder•New York, NY

21h•Hybrid

About The Position

Blue Apron is looking for a high-impact Sr. Product Manager (Forecasting) to own and scale the demand forecasting and ordering processes for our customer SKUs. This forecast directly drives production orders with our manufacturing partner and has significant impact on customer experience and financial outcomes. In this role, you will define strategy, improve our forecasting models and data foundations, guide engineering/DS development, and continuously enhance the accuracy, stability, and downstream impact of our forecast. Your work will materially influence customer fill rates, waste reduction, and overall P&L performance.

Requirements

4-7+ years in Product Management, Supply Chain, or Operations, with practical experience in forecasting & replenishment (food/perishables strongly preferred)
Strong product skillset – ability to operate independently in a complex, technical domain
Hands-on analytical capability and a deep inquisitive nature – you’re comfortable diving into datasets, understanding model behavior, and diagnosing issues
Strong SQL and self-serve analytics skills, with the ability to build simple visualizations in tools like Looker
Understanding of forecasting concepts, accuracy metrics, and how forecasts translate into ordering and procurement decisions
Experience working with supply chain, forecasting, production planning, or replenishment systems is highly preferred
Excellent communication and interpersonal skills – able to bridge technical and non-technical teams and drive alignment

Responsibilities

Map and diagnose the current forecasting process: Build deep understanding of existing models, inputs, constraints, and operational workflows – identify strengths and priority opportunities
Define and operationalize performance metrics: Establish forecast & ordering performance metrics – tying back to in-stock availability, customer fill rates, and waste reduction
Analyze performance: Evaluate forecast accuracy across SKU groups (e.g. regular staples vs. cold-start products) to identify high-impact focus areas
Establish a simple baseline: Implement a naïve benchmark to quantify our forecast performance (“how much value are we adding”?) and track improvements
Set strategy for forecast and ordering enhancements: Develop and maintain a product roadmap that links data investments, model improvements, and operational outcomes
Guide Engineering/DS team: Prioritize features, data pipelines, and model upgrades (e.g. capturing & reflecting unconstrained demand, adjusting forecasts for promotional lift, improving cold start logic for new items, etc.)
Understand customer assignment: Ensure forecast logic aligns with how SKUs are offered to customers (via Blue Apron’s “assignment” model), enabling accurate prediction of future demand
Drive cross-functional execution: Partner closely with analytics, marketing, and operations to deliver roadmap milestones & improve business KPIs
Own the feature development lifecycle: From ideation and feature definition through prioritization, testing, and impact measurement
Communicate impact & insights: Present forecast performance, operational results, and business implications clearly to stakeholders (including ops leadership)