Director of Product, Delivery and Fulfillment Intelligence
Leads product strategy and team development for a delivery and fulfillment intelligence platform spanning forecasting, routing, risk intervention, and operational learning. Requires 10+ years of product management experience, logistics or marketplace expertise, production ML experience, and strong architectural and analytical judgment.
About the job
Responsibilities
- Define the vision, strategy, and multi-year roadmap for the Delivery & Fulfillment Intelligence Platform.
- Establish the canonical delivery event and state model, telemetry and history, and governed contracts for other domains.
- Develop order risk assessment, proactive intervention, building- and address-level intelligence, decomposed lead-time and promise accuracy, and dynamic routing and orchestration.
- Build demand and capacity forecasting and network optimization capabilities under cost, coverage, and reliability constraints.
- Partner with Data to instrument the delivery lifecycle, define metrics such as on-time performance, promise accuracy, and straight-through rate, and establish a learning loop.
- Make build-versus-buy decisions involving ETA services, optimization solvers, and telematics, and determine when to use models, solvers, or rules.
- Evaluate delivery-logistics insourcing options with Supply Chain Operations, Delivery Partnerships, and Finance.
- Represent the platform strategy at the executive level and balance near-term wins with long-term investments.
- Hire, lead, and develop the product team.
- Travel to Boston quarterly for planning cycles, architecture reviews, and business reviews.
Requirements
- 10+ years of product management experience, including 3+ years leading product managers.
- Deep experience with platform, infrastructure, logistics, or marketplace operations products.
- Experience hiring, developing, and retaining product managers.
- Track record owning fulfillment, dispatch, logistics, or supply-chain intelligence products at meaningful scale.
- Depth in at least two of routing and dispatch optimization, ETA and travel-time prediction, demand and capacity forecasting, risk scoring and anomaly detection, or geospatial data systems.
- Experience shipping machine-learning-backed products in production, including calibration, training/serving skew, offline and online evaluation, and model operations.
- Ability to engage senior engineers on event-driven architecture, event schemas, state machines, idempotency, service boundaries, API contracts, and durable workflow orchestration.
- Experience with multi-sided marketplaces and third-party partner networks, SLAs, rate cards, and capacity commitments.
- Strong analytical ability and experience building metrics frameworks and identifying data-quality issues.
- Ability to influence product, engineering, data science, operations, and commercial teams without direct authority.
- Experience running multi-workstream programs across several engineering teams.
- Ability to sequence a multi-year platform build to deliver value incrementally.
- Ability to travel up to 5 days per quarter when applicable.
Nice to Have
- Experience in food delivery, restaurant technology, or B2B logistics.
Compensation
- National total target cash compensation, including base salary and bonus target: $229,000–$321,000 annually.
- Final offer amounts may vary based on experience, expertise, and region.
- The range excludes equity, 401(k), and medical, dental, or vision benefits.
Skills
Product Management, Logistics, Fulfillment, Dispatch Optimization, Routing Optimization, Eta Prediction, Demand Forecasting, Capacity Forecasting, Machine Learning, Anomaly Detection, Geospatial Data, Event-Driven Architecture, Api Contracts, Data Quality
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