Senior Product Manager, API & Agentic

At Commerce, we empower businesses to innovate, grow, and thrive with our open, AI‑driven commerce ecosystem. We are the parent company of Big Commerce, Feedonomics, and Makeswift, connecting the tools and systems that power growth and enabling businesses to unlock the full potential of their data, deliver seamless personalized experiences across every channel, and adapt swiftly to an ever‑changing market.

We are looking for an experienced Senior Product Manager to support the Feedonomics platform and drive its evolution in the agentic era of commerce. This role owns two interconnected strategic pillars: expanding and maturing our API surface area to enable integration with services and AI‑powered workflows at scale, and building a next‑generation in‑platform AI assistant that allows operators to take catalog and channel actions through natural language.

• Own the strategy and roadmap for Feedonomics’ programmatic access layer, including APIs covering catalog management, data transformation, import/export configuration, etc.
• Define capability requirements and prioritize the backlog for API surface expansion; translate complex workflows into clear, well‑scoped API capabilities.
• Drive developer experience improvements across authentication, error handling, rate‑limit design, and documentation so that integration partners and internal tools can build reliably on FDX APIs.
• Lead the product definition for a conversational AI assistant embedded in the Feedonomics platform, enabling users to take targeted catalog management and channel actions through natural language.
• Define and ship the tools (e.g., MCP, CLI) that expose Feedonomics capabilities to AI agents and LLM‑powered workflows, including capability descriptions, tool schemas, and safety/permission guardrails.
• Work closely with engineering to define the right level of abstraction for Feedonomics tools to simplify workflows and reduce required API calls.
• Stay current with the evolving agentic ecosystem (MCP, function‑calling, agent SDKs) and continuously refine the product strategy based on how customers and partners are adopting these capabilities.
• Lead strategic planning, development, and execution for your product areas end‑to‑end, including roadmap definition, backlog management in Jira, and sprint‑level delivery.
• Conduct market research and competitive analysis to identify trends, customer needs, and opportunities in e‑commerce technology and the AI tooling landscape.
• Collaborate closely with engineering, design, sales, and customer support to define requirements and priorities grounded in customer outcomes; decompose complex initiatives into iterative deliverables, with each release adding measurable customer value.
• Create comprehensive narratives for epics and stories; facilitate planning and grooming sessions to keep teams aligned and unblocked.
• Validate new functionality with platform users and key stakeholders before development; demo features to the organization and customers.
• Define and track metrics that measure the effectiveness of product enhancements; iterate based on data.
• Communicate product strategy, business outcomes, and performance metrics to stakeholders at all levels.

• 5+ years of product management experience, with at least 2 years owning platform, API, or developer‑facing products.
• Demonstrated track record of defining and shipping API products or developer tools used by external integrators.
• Strong familiarity with the e‑commerce technology stack: platforms (Shopify, Big Commerce, Magento), advertising channels (Google, Meta), marketplaces (Amazon, Walmart, eBay), and business systems (PIM, ERP, OMS).
• Experience working in a fast‑paced, startup‑like environment with ambiguous, high‑stakes problems.
• Technical background or strong technical orientation—comfortable getting into the weeds with engineers on API design, authentication schemes, rate‑limit strategy, and data pipeline architecture.
• Familiarity with the emerging agentic AI tooling ecosystem:
  Model Context Protocol (MCP), LLM function calling, agent SDKs, or similar.
• Understanding of the agent harness and orchestration layer—how frameworks wrap LLMs with…