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New York, New York, United States
Hybrid
About Wonder
Everything’s on the menu at Wonder. Except compromise.
Wonder is the mealtime platform built to feed every craving in one order. With Wonder, you can mix and match hundreds of dishes from 20+ exclusive restaurants in a single order, so everyone gets exactly what they’re craving. Enjoy everything from tacos to Thai with $0 delivery fees, plus dine-in or pick up at a Wonder location near you. Each dish is made to order on-site by our culinary team and served hot.
Behind the scenes, Wonder owns and operates every step of the dining experience, from recipe development to the technology that powers our experience, allowing us to deliver quality, variety, and consistency at scale.
Join us as we work to make great food more accessible.
About the Role
Wonder is looking for a high-impact Senior Product Manager (Technical) to own and evolve our store planning and simulation systems.
This role sits at the intersection of forecasting, simulation, and replenishment execution. You will own a core simulation tool that translates our demand forecast into DC-to-store replenishment decisions – modeling expiry, pack-size constraints, and operational realities. The output of this system feeds our inbound DC ordering.
This is a hybrid role designed for either:
A highly technical Product Manager comfortable building analytical POCs, or
A business-facing developer / applied scientist who wants product ownership
In this role, you will define how success is measured, establish baseline performance, and guide engineering implementation. You will own key operational metrics (in-stock & waste) that materially impact Wonder’s unit economics, as we evolve our planning systems to support rapid growth and IPO-scale operations.
This role reports to the Director, Forecasting & Planning (Product).
Key Responsibilities
Wonder’s planning systems are the backbone of our supply chain – driving outbound orders to our stores, and inbound orders to our DCs (from internal production and 3P vendors). Our planning pipeline consists of:
1) Store demand forecast
2) DC-to-store replenishment simulation (+ store ordering)
3) Vendor-to-DC ordering (3A: Wonder production + 3B: External 3P procurement)
You will have accountability one or more parts of this platform, with room to grow and increase responsibility.
Performance Measurement & Accountability
Own performance: Own & report on key operational metrics, e.g. planning-driven in-stock & waste – at business-relevant granularities
Establish a baseline: Build & maintain a naïve/baseline DC-level forecast or heuristic to quantify simulation performance (“how much value are we adding”?)
Analyze with an owner-mindset: Deep-dive/RCA system performance across stores and SKU groups (e.g. cold-start products) to inform development areas
Shape Technical Direction
Own the feature development lifecycle: Set the roadmap for your planning domain, and translate POC learnings into clear product & tech requirements
Design and build analytical POCs: Lean on your technical capability to test new logic, heuristics, or modeling approaches before tech implementation
Guide Engineering/DS team: Once POC performance has been proved – partner with tech colleagues to guide scalable, production-ready solutions
Cross-Functional Leadership
Communicate impact & insights: Explain system behavior, trade-offs, and results to technical and non-technical stakeholders (including ops leadership)
Cross-functional alignment: Partner closely with Supply Chain Ops & Analytics to help teams understand planning logic, and ensure business decisions are informed by data-backed reality
The Experience You Have
5-8+ years in Product Management, Applied Analytics, or Supply Chain development, with meaningful exposure to planning & replenishment systems
Experience operating in a business-facing role with accountability for operational results
Strong analytical instincts – ability to work with data and models (not just requirements) within a complex, technical domain
Strong understanding of forecasting & ordering logic, ideally in food/perishables or other constrained supply chains
Fluency with analytical tools (we use BigQuery, GCP + Looker) to evaluate performance at scale (note: strong SQL is a key requirement)
Comfort building POC models (SQL or Python-based) to evaluate performance, explore system behavior and validate ideas
The Way You Work
You have an ownership mindset and are comfortable being accountable for outcomes, not just delivery
You enjoy operating at the intersection of technology and business – either as a tech-forward PM or a business-forward builder – and can translate fluently between technical constraints and operational reality
You care about building products that deliver measurable business value – not just theoretical improvement
You bring structure to complex, ambiguous problems and turn them into testable hypotheses and clear decisions
You have a strong bias toward action, rapid learning, and continuous improvement
New York: $149,000 - $165,500 per year.
Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience.
Benefits
We offer a competitive salary package including equity and 401K. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.
A Final Note
At Wonder, we build the best teams by hiring with an objective lens — evaluating people for their potential while championing diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. As part of our commitment to fair and compliant hiring practices, Wonder participates in the federal government's E-Verify program to confirm employment eligibility. If you need an accommodation during the interview process, please let your recruiter know.
We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy.