Location: Cincinnati, Ohio
Work Mode: Onsite – 5 days/week (mandatory)
Contract Duration: 6 Months
About the Role
We are seeking a Product Manager Level 2 to support our eCommerce fulfillment operations, including pickup, third-party delivery (Instacart and DoorDash), and overall operational efficiency. This role will be integral to building a platform that handles order submission, selection, and routing, with a focus on operational reporting, process optimization, and demand forecasting.
The ideal candidate is a strategic thinker with strong technical acumen, comfortable working at the intersection of business, data, and machine learning to deliver a seamless customer and operational experience.
Key Responsibilities
Manage all technical aspects of product lifecycle from ideation to execution
Collaborate with business stakeholders, vendors, and third-party partners to ensure successful delivery
Create and maintain product catalogs and technology roadmaps, communicating near-term and long-term plans
Identify, measure, and improve key product metrics to enhance customer experience
Elicit, define, and analyze medium-to-complex requirements, ensuring they are testable and measurable
Set minimum viable product criteria to accelerate delivery of new features
Lead teams in refining, prioritizing, and managing requirements using tools such as backlogs, templates, and agile management platforms
Facilitate requirement walkthroughs, sprint planning, demos, and backlog refinement sessions
Identify dependencies, risks, and impacted areas, driving resolution through collaboration
Break down medium-to-complex visions into actionable projects, initiatives, and features
Must-Have Skills
Product strategy & prioritization
Data platform fundamentals
Machine learning literacy
Strong stakeholder communication
Designing for expert users without alienating new users
Clear documentation and onboarding flows
Deep understanding of user workflows—not just APIs
Strong Differentiators
Stakeholder Management
Align business leaders, engineers, data scientists, legal/compliance, and operations teams
Translate technical constraints into business-relevant language
Manage expectations around ML uncertainty and iterative development
Data & Platform Expertise
Data types: structured, semi-structured, unstructured
Data pipelines: batch vs. streaming
Data quality, lineage, observability, metadata, and versioning
API, SDKs, self-service capabilities, multi-tenant vs single-tenant design
Platform performance, scalability, and cost tradeoffs
Machine Learning Fundamentals
Supervised vs. unsupervised learning
Model training, inference, evaluation metrics, and overfitting/generalization
ML outputs are probabilistic, not deterministic
Model monitoring, retraining, versioning, and experimentation
Awareness of data and concept drift, iterative development
Metrics, Experimentation & Decision Making
Business metrics (revenue, conversion, cost savings)
Model metrics (accuracy, precision/recall)
Data metrics (coverage, freshness, null rates)
Platform metrics (latency, uptime, adoption)
Design experiments under uncertainty, interpret noisy/delayed signals
Why Join Us
This is an opportunity to make a direct impact on a fast-growing eCommerce fulfillment platform, working alongside cross-functional teams to deliver innovative solutions. You’ll shape the product vision, optimize operational workflows, and drive measurable business results while gaining exposure to cutting-edge ML applications.
If you thrive in a fast-paced, technical, and data-driven environment, we want to hear from you!
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