- Страна
- США
- Зарплата
- 165 000 $ – 264 000 $
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Principal Product Manager, Agent Platform
Высокая оценка обусловлена стратегической важностью роли, конкурентной зарплатой и работой с передовыми технологиями (AI Agents). Toast — признанный лидер в своей нише с сильной инженерной культурой.
Сложность вакансии
Роль требует редкого сочетания глубокого опыта в управлении платформами (8+ лет) и экспертных знаний в области LLM, оркестрации агентов и протоколов типа MCP. Высокая сложность обусловлена необходимостью создавать стандарты для множества продуктовых команд.
Анализ зарплаты
Предложенный диапазон ($165k - $264k) полностью соответствует рыночным стандартам США для позиции Principal уровня в крупных технологических компаниях. Верхняя граница диапазона даже несколько превышает медиану для восточного побережья.
Сопроводительное письмо
I am writing to express my strong interest in the Principal Product Manager, Agent Platform position at Toast. With over 8 years of experience in product management and a deep focus on technical infrastructure, I am excited by the opportunity to define the foundational platform for Toast IQ. My background in building developer-facing systems and my technical fluency in LLM orchestration and agent architectures align perfectly with your mission to scale AI capabilities across the Toast ecosystem.
In my previous roles, I have successfully led the development of complex platform products, focusing on tool integration, observability, and governance. I am particularly impressed by Toast's commitment to 'A2A' collaboration and shared memory systems. I am confident that my experience in operationalizing quality standards for AI systems and my passion for systems thinking will allow me to contribute significantly to the Agent Platform team and help every product team at Toast launch high-quality AI agents.
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Присоединяйтесь к Toast и возглавьте разработку платформы ИИ-агентов, которая изменит будущее ресторанного бизнеса!
Описание вакансии
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 RoleAs 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 get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people.
**Diversity, Equity, and Inclusion is Baked into our Recipe for Success**
At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences.
We Thrive Together
We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast.
Apply today!
Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com.
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For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- Product Management
- LLM
- API
- Observability
- Infrastructure
- Systems Thinking
- AI Agents
- MCP
- Orchestration Layer
- A2A
Возможные вопросы на собеседовании
Проверка понимания технических основ платформы, упомянутых в описании.
Как бы вы спроектировали систему 'shared memory' (общей памяти) для нескольких взаимодействующих ИИ-агентов в экосистеме Toast?
Оценка способности кандидата создавать инструменты для других разработчиков.
Какие ключевые метрики вы бы внедрили в платформу для оценки качества и производительности агентов (evals) в продакшене?
Проверка навыков приоритизации в платформенной роли.
Как вы будете балансировать между запросами конкретных продуктовых команд на новые функции агентов и необходимостью поддерживать чистоту архитектуры платформы?
Оценка опыта работы с протоколами взаимодействия.
Расскажите о вашем опыте работы с MCP (Model Context Protocol) или аналогичными паттернами вызова инструментов. Какие ограничения вы видите?
Проверка лидерских качеств и системного мышления.
Опишите случай, когда вам пришлось внедрять новый технический стандарт в крупной организации. Как вы работали с сопротивлением команд?
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- Страна
- США
- Зарплата
- 165 000 $ – 264 000 $