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toast
Страна
США
Зарплата
165 000 $ – 264 000 $
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Principal Product Manager, Voice AI

Оценка ИИ

Отличная позиция в известной публичной компании с сильной инженерной культурой. Роль предлагает высокую степень автономии, работу с передовыми технологиями (Voice AI) и конкурентную заработную плату с опционами.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена ролью 'Principal', требующей более 8 лет опыта, и специфическими знаниями в области Voice AI (ASR, NLU, TTS). Кандидат должен сочетать навыки стратегического планирования платформы с глубокой технической экспертизой в оценке моделей и управлении вендорами.

Анализ зарплаты

Медиана210 000 $
Рынок175 000 $ – 270 000 $
Оценка ИИ

Предлагаемый диапазон $165k – $264k полностью соответствует рыночным стандартам для позиции Principal Product Manager в США, особенно в секторе высокотехнологичных платформ. Верхняя граница диапазона является весьма привлекательной даже для Tier-1 компаний.

Сопроводительное письмо

I am writing to express my strong interest in the Principal Product Manager, Voice AI position at Toast. With over 8 years of experience in shipping complex software products and a deep focus on AI model evaluation and platform strategy, I am excited by the opportunity to lead the 'zero to one' discovery for in-store voice experiences. My background in managing technical evaluations for ASR and NLU vendors, combined with a commitment to building reusable platform capabilities, aligns perfectly with Toast's vision for the Commerce Platform.

Throughout my career, I have specialized in bridging the gap between advanced AI technologies and real-world operational needs. I have a proven track record of defining benchmarking frameworks for latency and accuracy while ensuring that product designs remain empathetic to the fast-paced environment of physical retail and hospitality. I am particularly drawn to Toast's culture of innovation and look forward to the possibility of mentoring your senior PMs and shaping the future of voice-enabled workflows in restaurants.

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Откликнитесь в toast уже сейчас

Присоединяйтесь к Toast и возглавьте революцию голосового ИИ в ресторанной индустрии — откликнитесь сейчас!

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.

Toast is launching a new initiative to bring the power of voice AI into the in-store restaurant experience. While voice has transformed drive-thru and phone ordering, we believe there’s a large opportunity to make in-store experiences better for guests and more proficient for restaurant teams. This team will explore voice capabilities across front-of-house (guest ordering, service interactions, POS assistance) and back-of-house (kitchen coordination, hands-free workflows, inventory signals). As the Principal Product Manager — Voice AI (In-Store) on the Commerce Platform, you’ll define strategy, evaluate vendors and partners, run zero→one discovery and pilots in real restaurants, and lead commercialization — creating a reusable voice platform that powers multiple use cases across the restaurant.

A day in the life (Responsibilities)

  • Define vision & portfolio strategy. Own the long-term vision and multi-quarter roadmap for in-store voice AI and the platform that enables multiple use cases across FOH/BOH. Balance short-term pilots with long-term platform investments.
  • Run vendor & technical evaluation. Lead technical evaluation of voice and AI vendors (ASR, NLU, TTS, edge inference, on-device options) and create benchmarking frameworks for accuracy, latency, privacy, and cost.
  • Lead commercial conversations. Drive vendor commercial discussions (pricing models, licensing, SLAs) and surface negotiation points — partnering with Procurement and Legal who finalize contracts and budget approvals.
  • Drive zero → one discovery and pilots. Plan and execute discovery, rapid prototyping, and in-restaurant pilots; iterate based on operational feedback and scale successful experiments.
  • Design a reusable voice platform. Define APIs, integration patterns, data flows, and tooling that make voice capabilities reusable across guest experiences, staff workflows, and integrations with POS, kitchen systems, and telemetry services.
  • Lead GTM & commercialization. Define pricing, packaging, and go-to-market strategy with Product Marketing, Sales, and Operations; identify commercial models that fit restaurants of different sizes.
  • Coordinate cross-functional delivery. Align Engineering, Hardware Ops, Reliability, Security, Data, Research, Design, Care/Onboarding, and GTM partners to de-risk delivery and adoption.
  • Drive operational readiness & reliability. Define operational playbooks, observability, edge/online failover modes, and post-launch monitoring to ensure reliable in-store behavior and low support cost.
  • Champion field research & validation. Spend time in restaurants to learn operational workflows, validate prototypes, and iterate with real staff and guests.
  • Mentor & shape product practice. Coach senior PMs and engineers on voice/AI product development, vendor evaluation, and responsible AI practices; contribute to the Product Playbook.
  • 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.

What you'll need to thrive (Requirements)

  • AI product delivery experience. ~8+ years shipping complex software products with demonstrated ownership of multi-team programs or a major product portfolio, and experience delivering AI-enabled features or products.
  • AI Model Evaluation. Hands-on experience defining and owning AI model evaluation (examples: WER/CER, intent accuracy, wake-word false accept/reject, latency, completion/task success), building continuous evaluation and model ops processes (drift detection, automated regression tests, A/B testing, rollback/mitigation playbooks), and partnering with ML teams to run experiments and error analysis.
  • Zero → one experience. Proven track record taking a product from discovery through prototype and pilot to scale.
  • Vendor evaluation & commercial acumen. Hands-on experience evaluating AI/voice vendors and participating in vendor commercial conversations (note: Procurement/Legal finalize contracts).
  • Platform mindset. Ability to design reusable APIs and platform capabilities that enable multiple downstream use cases and teams.
  • Customer & ops empathy. Experience conducting on-site discovery and validating prototypes in operational environments (restaurant or other physical venues).
  • Cross-team leadership. Exemplary stakeholder management and ability to align senior partners across hardware, engineering, ops, and GTM, especially on high-visibility initiatives.
  • Communication & influence. Clear, persuasive written and verbal communication; able to synthesize technical tradeoffs and business value for executives and partners.

Special Sauce\* (Nice to Haves)

  • Speech / voice product experience. Prior experience building voice AI products (ASR/NLU/TTS, or working directly with speech teams) is helpful but not required.
  • Conversational UX & dialog design. Experience designing conversational flows, state management, turn-taking, error recovery and graceful degradation
  • Exposure to hardware considerations for voice (far-field audio, beamforming, noise cancellation, embedded audio processing).
  • Experience with on-device / edge inference and hybrid cloud/edge voice architectures (model quantization, latency/footprint tradeoffs).
  • Familiarity with privacy, compliance, and PII handling for voice data (on-device vs cloud processing, country-level regulations).
  • Background in restaurant, retail, or other physical-world operations.
  • Experience with ML lifecycle tooling, continuous model evaluation, and production A/B testing strategies for AI features.

You’ll be measured on (suggested success metrics)

  • Launch and adoption of successful in-store voice pilots (pilot → scale conversion).
  • Measurable operational impact (e.g., staff time saved, reduction in order errors, throughput gains).
  • Guest experience improvements (NPS/CSAT lift for voice flows, voice take rate).
  • Platform reuse (number of distinct use cases / teams reusing core voice APIs).
  • Reliability & support outcomes (uptime targets, reduction in Care tickets related to voice).
  • AI health & model performance: model accuracy (WER/intent accuracy), latency, drift rate, and rate of regressions caught by CI/monitoring systems.

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.

#LI-REMOTE

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.

------

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.

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Навыки

  • Product Management
  • Artificial Intelligence
  • A/B Testing
  • Vendor Management
  • Machine Learning
  • Product Strategy
  • Go-to-Market Strategy
  • API Design
  • NLU
  • ASR
  • TTS
  • Voice AI

Возможные вопросы на собеседовании

Проверка опыта запуска продуктов с нуля и умения работать в условиях неопределенности.

Расскажите о вашем самом сложном проекте 'zero-to-one' в сфере ИИ: как вы проходили путь от гипотезы до пилота в реальных условиях?

Оценка технической грамотности в области голосовых технологий.

Какие метрики вы считаете ключевыми при оценке качества ASR и NLU моделей для шумной среды ресторана и как вы будете их бенчмаркать?

Проверка способности мыслить масштабируемыми платформами, а не разовыми фичами.

Как бы вы спроектировали архитектуру голосовой платформы, чтобы она была одинаково полезна как для гостевых заказов, так и для управления инвентарем на кухне?

Оценка навыков ведения переговоров и работы с внешними партнерами.

Опишите ваш опыт оценки и выбора ИИ-вендоров: на какие компромиссы между стоимостью, задержкой (latency) и точностью вы готовы пойти?

Проверка эмпатии к пользователю и понимания специфики физического ритейла.

Как вы планируете проводить полевые исследования в ресторанах, чтобы выявить скрытые болевые точки персонала, которые не видны из офиса?

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toast
Страна
США
Зарплата
165 000 $ – 264 000 $