Principal Product Manager, Agent Platform

Toast
East Coast, USAPosted 9 March 2026

Tech Stack

Job Description

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. At the center of this vision is Toast IQ: a single, unified assistant that orchestrates specialized agents across the Toast ecosystem. The Agent Platform makes this possible. About the Role As Principal Product Manager, Agent Platform you will define and scale the foundational platform that powers AI agents across Toast. This includes orchestration, tool integration, governance, evaluation, and observability. Your mission will be to make it easy for every product team at Toast to build, launch, and monitor high-quality AI agents while ensuring Toast IQ delivers a seamless, consistent, and trustworthy experience. This is a deeply technical, high-leverage platform role with impact across all of Toast’s products. A day in the life (Responsibilities) Define the long-term vision and roadmap for the Agent Platform, the shared orchestration and tooling layer for all Toast agents Build the platform capabilities that enable agent-to-agent collaboration, subagent routing (A2A), shared memory, and unified voice/tone Establish standards and systems for MCP tool development, entitlement controls, and tool orchestration Own evaluation, observability, and monitoring frameworks, including instrumentation, tracing, eval pipelines, and production quality standards Enable teams across Toast to easily build and integrate agents Work with customers to understand AI quality Partner deeply with Engineering, AI/ML, design, and domain product teams to evolve platform capabilities as AI use cases expand What you'll need to thrive (Requirements) 8+ years of product management experience, including significant ownership of technical platform or infrastructure products Deep familiarity with LLM systems, agent architectures, tool calling patterns, or AI evaluation frameworks Strong technical fluency: comfortable discussing APIs, orchestration layers, memory systems, protocols (e.g., A2A/MCP), and observability tooling Experience building developer-facing platforms or enablement systems used by multiple teams Proven ability to define, and own, quality standards and operationalize monitoring for complex systems in production Strong systems thinking and ability to balance short-term enablement with long-term architectural integrity Embrace and advocate for the use of AI tools to accelerate product discovery, streamline execution, and explore new product experiences - helping shape how we build and what we build. AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits . The base salary range for this role is listed below. The starting salary will be determined based on skills and experience. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions, if eligible), benefits, and equity (if eligible). Pay Range $165,000 $264,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to ge ... (truncated, view full listing at source)
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