Senior Product Manager
Senior Product Manager at KWI in Melville, NY (hybrid, Mon/Tue/Thu in-office) owns a unified-commerce product area end to end — discovery, roadmap, specs, delivery, and adoption outcomes — working daily with engineering, design, and specialty-retail clients in an AI-led, spec-driven model using Jira, Confluence, and AI tools.
- Compensation
- Not disclosed
- Location
- Melville, New York
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Contract
- Experience
- 3+ years
- Category
- Product
- Posted
Skills
Must have
- 5+ years in product management, including at least 3 years on B2B SaaS products
- Direct experience in retail or commerce industry, or adjacent domain such as ERP, supply chain, or warehouse management
- Track record described in numbers: what you shipped, what it moved, and how you knew
- Hands-on use of AI tools in product work (discovery synthesis, prototyping, spec writing, competitive research, product operations)
- Experience writing structured specifications engineering builds from directly; comfort in a spec-driven development model
- Working understanding of cloud architecture, APIs, and integrations
- Experience running Kanban delivery flow in Atlassian suite: Jira Product Discovery, Jira, Confluence
- Clear communication, written and verbal, for specs and client/executive conversations
Nice to have
- Time spent inside a retailer's merchandising, inventory, fulfillment, e-commerce, or IT organization
- Experience with ERP, order management, supply chain, or commerce platform implementations at multi-location specialty retailers
- Experience with AI coding/agent tools (Claude Code, Cursor) and design tools (Figma, Claude Design)
- Experience modernizing legacy products, including platform unification, client migration, and adoption
- Bachelor's degree in a technical field, or equivalent work experience
Full description
The Opportunity
The Senior Product Manager owns a KWI product area end to end. You will evolve what clients run today and define where the product goes next. You are accountable for what it delivers, not only for what ships: adoption across the client base, measurable gains for the retailers using it, and a delivery pace the team can hold.
This is a hands-on role on a small product team. You will work directly with the retail teams who use your product every day, with engineering and design, and with the client-facing teams who see the problems first, in an AI-led, spec-driven development model.
The Company
We are a small team with a big vision: to be the premier provider of cloud technology solutions for retailers. KWI offers a complete, unified commerce solution, specifically designed to help specialty retailers grow their business. Our portfolio of customers includes Pandora, Bluemercury, Tom Ford and many other globally recognizable brands.
We combine Point of Sale, Merchandising, Order Management, CRM, and Loyalty into one cloud-based platform. We are a values- and mission-driven organization, and we believe that if we develop and demonstrate leadership in our strategy, operations, and people, we will continue to drive product innovation and service excellence.
AI at KWI
We are serious about AI. Not as a buzzword, but as a real part of how we work. We expect every member of our team to actively use AI tools to work smarter, move faster, and do more with less. We are not looking for someone who has heard of AI. We are looking for someone who can walk us through how they use it day to day: in their current role, in how they organize their work, and in how they solve problems. Curiosity and a willingness to experiment are non-negotiable.
As a Senior Product Manager, you excel at the following core competencies
- Retail Domain Depth –You understand how your domain works in practice, whether point of sale, merchandising and inventory, order management and fulfillment, or platform and integrations, and what breaks downstream, in stores and across channels, when the data or the process falls out of sync.
- Outcome Ownership – You define success in numbers before work starts, and you stay accountable to those numbers long after the release notes go out.
- AI-Augmented Discovery and Delivery – You use AI tools daily to research, synthesize, prototype, and run product operations, and you have a clear point of view on where they help and where they do not.
- Spec-Driven Thinking – You write structured, unambiguous specifications that engineering and AI coding agents can build from without guessing at intent.
- Strategic Sequencing – You see where the category is heading and turn that into a roadmap with tradeoffs you can defend to clients and to leadership.