Product Manager

About Extend:

Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend's best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits.

Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco.

Extend is invested in AI across the entire company, and the program is moving from foundation-laying to scale. We have an AI Integrations engineering team in place, a growing library of MCP connectors to the systems we run on, a shared agent skill library every team composes from, and a slate of exec-sponsored AI builds in flight across Revenue, Accounting, Operations, and GTM.

We are looking for a cross-functional leader that wraps all of this.

As a Product Manager you will own the business intake, the prioritization, and the cross-functional program management that turn "we should automate this" into shipped, adopted systems. The role spans two surfaces — the AI Integrations connector backlog and Sponsored AI Builds, the exec-prioritized cross-functional projects where the team delivers workflows that change how parts of the business operate day to day.

You'll partner directly with the AI Integrations Engineering Manager and inherit a working playbook.

• Connector Backlog Ownership. You run intake from across the company, prioritize against business value and technical readiness, and keep the queue of business-system connectors moving — surfacing tradeoffs, sequencing the work, and protecting the team from churn.
• Sponsored AI Build Delivery. You lead exec-prioritized cross-functional projects from intake through ship, working alongside the business stakeholder who owns the workflow, the AI Engineer who owns the build, and the AI Champion who owns adoption. You own scope, schedule, and the cross-functional decisions that keep the work moving.
• Stakeholder Front Door. You triage requests, manage office hours, and run the AI Builds and champion support channels. You translate between engineering and the business and act as first responder alongside the EM so engineers can stay focused on shipping.
• Cross-Team Coordination. You hold the map of who owns what across DevX, Dev Ops, Product Engineering, and the network of Champions in the business. You surface and resolve overlap, dependencies, and ownership questions before they become blockers.
• Program Operations. You run the planning, check-in, and reflect cadences. You decompose the roadmap into tickets, sequencing, and owners, and adjust as priorities change.

• 3+ years in Product Management, Technical Product Management, Technical Program Management, or Platform Product roles, with experience partnering closely with engineering and business stakeholders.
• Experience working on technical integrations or internal systems. You have contributed to or materially owned at least 1–2 shipped integrations, connectors, internal workflows, or system-to-system capabilities involving APIs, authentication, data exchange, or similar technical patterns.
• Hands-on technical fluency. You can reason about APIs, OAuth flows, schemas, webhook payloads, permissions, and failure handling, and you are comfortable using technical documentation, basic queries, or AI-assisted analysis to validate assumptions before escalating to engineering.
• Direct AI / LLM product experience. In the last 12–18 months, you have contributed to at least 1 internal AI/LLM workflow,…