Product Manager I

Extend is revolutionizing the post-purchase experience for retailers with AI-driven solutions that enhance customer satisfaction and drive revenue growth. As a Product Manager I, you will own business intake and prioritization while managing cross-functional programs to automate workflows and improve operational efficiency.

Responsibilities:

• 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
• 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
• 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
• You hold the map of who owns what across DevX, DevOps, Product Engineering, and the network of Champions in the business. You surface and resolve overlap, dependencies, and ownership questions before they become blockers
• You run the planning, check-in, and reflect cadences. You decompose the roadmap into tickets, sequencing, and owners, and adjust as priorities change

Requirements:

• 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, pilot, prototype, or shipped feature. You are comfortable learning and working with MCP (Model Context Protocol), agent frameworks (Claude Code, LangChain, CrewAI, OpenAI Agents SDK, or equivalent), prompt design, and the basics of how agentic workflows operate in practice
• Proven intake and prioritization. You have managed or supported an intake or backlog process, and you can show examples of balancing urgent requests, business needs, and planned roadmap work. You know when to escalate, when to push back, and when to ask for clearer prioritization
• Cross-functional program leadership. You have driven projects or workstreams from intake through launch, with ownership of scope, timelines, dependencies, follow-ups, and communication. You can write the brief, run the meeting, and publish the recap, while partnering closely with your manager and engineering leads on the toughest calls
• Experience operating as a front door for a technical team. You have managed intake, triage, office hours, support channels, or similar workflows and turned ambiguous requests into clear tickets, specs, or execution plans
• Strong program operations discipline. You are comfortable running planning cadences, status reviews, roadmap check-ins, or similar operating rhythms, and helping translate roadmap intent into sequencing, owners, and execution visibility
• Strong written communication. You can produce clear briefs, launch notes, meeting recaps, and operating updates. Internal program documentation lives in Google Docs, Slack threads, and meeting notes — the next iteration is yours to author
• Experience inside a developer platform team, internal developer platform (IDP), enterprise integration team, or internal automation platform team
• Experience contributing to a connector backlog, integrations program, plugin ecosystem, API platform, or shared internal tooling surface
• Background in Revenue Ops, Finance Ops, Operations, Support Ops, or another non-engineering function, with examples of translating business workflow needs into technical delivery
• Experience supporting adoption of an internal tool, workflow, or platform from pilot usage to repeatable team adoption
• Familiarity with AWS at the application level — Lambda, API Gateway, DynamoDB, IAM scoping, and adjacent deployment patterns — enough to follow a deploy story end-to-end
• Experience working with business systems commonly involved in internal AI and integration workflows, such as Salesforce, Zendesk, Netsuite, Snowflake, Workday, or similar platforms
• Experience in environments where success depended on reducing reactive work, creating self-service paths, or helping shift technical teams from ad hoc support toward roadmap execution