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parloa
Страна
США
Зарплата
160 000 $ – 230 000 $
+500% приглашений

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УдалённоПолная занятость

Senior/Lead Forward Deployed Engineer - US

Оценка ИИ

Отличная вакансия в быстрорастущей AI-компании с сильными инвесторами и реальными кейсами внедрения. Высокая зарплата, работа с передовым стеком (LLM, Kubernetes) и возможность влиять на продукт.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена необходимостью совмещать глубокие навыки бэкенд-разработки, DevOps и системного дизайна с умением работать напрямую с крупными корпоративными клиентами в условиях неопределенности.

Анализ зарплаты

Медиана195 000 $
Рынок155 000 $ – 250 000 $
Оценка ИИ

Предлагаемый диапазон $160k – $230k OTE полностью соответствует рыночным стандартам для позиций Senior/Lead Forward Deployed Engineer в США, особенно в секторе AI/SaaS. Верхняя граница выше медианы, что отражает высокую ответственность роли.

Сопроводительное письмо

I am writing to express my strong interest in the Senior/Lead Forward Deployed Engineer position at Parloa. With over 7 years of experience in software engineering and a deep background in systems integration and cloud infrastructure, I have consistently excelled at bridging the gap between complex product engineering and real-world enterprise requirements. My technical proficiency in Python, TypeScript, and Kubernetes, combined with a hands-on approach to debugging and architecture, aligns perfectly with Parloa’s mission to deliver seamless agentic AI at scale.

Throughout my career, I have specialized in leading technical deployments within high-pressure enterprise environments, often building custom extensions and integrations where standard solutions fell short. I am particularly drawn to Parloa’s focus on agentic AI and the opportunity to act as a feedback loop between field deployments and core product evolution. I am confident that my 'builder’s mindset' and experience with LLM-powered systems will allow me to contribute immediately to the success of your global enterprise clients like IKEA and Booking.com.

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Откликнитесь в parloa уже сейчас

Присоединяйтесь к Parloa, чтобы внедрять передовые AI-решения в крупнейшие мировые корпорации и определять будущее клиентского сервиса!

Описание вакансии

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience — one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like IKEA and Booking.com already deploying Parloa at scale.

About the role:

As a Senior/Lead Forward Deployed Engineer (SFDE) at Parloa, you’ll be on the front lines of enterprise AI adoption - delivering cutting-edge technology into some of the most complex environments in the world. Your mission: lead end-to-end deployment projects from an engineering perspective - not just implementing what exists, but engineering what’s required to make it succeed at enterprise scale.

FDEs are our in-field product engineers. You will build what doesn’t yet exist, adapt architecture to enterprise realities, and engineer integrations across systems and APIs to make deployments successful. Your work is hands-on and code-first - you’ll be building, debugging, and engineering solutions directly in the field. What you ship not only makes deployments succeed, it also defines how customers experience Parloa and shapes what our product becomes.

This is not about maintenance. This is about engineering what makes it work in production, under real-world enterprise constraints, at speed and scale

Areas of ownership:

  • Own deployment engineering projects: Lead the technical execution (incl. product engineering) of Parloa’s deployments inside large, complex enterprise environments
  • Design for scale and resilience: Architect deployment solutions that meet enterprise-grade requirements for performance, reliability, and security
  • Engineer solutions where none exist: Build custom extensions, integrations, and configurations to close product gaps and meet enterprise requirements
  • Work across systems & stacks: Operate at the intersection of backend engineering, DevOps, and data engineering to ensure seamless delivery
  • Partner with enterprise teams: Collaborate directly with customer engineering organizations to overcome constraints and deliver measurable outcomes
  • Guide and mentor others: Collaborate with and provide technical guidance to more junior in-field engineers
  • Influence at senior levels: Engage with enterprise architects and senior technical stakeholders, discussing solutions and architectures in depth to ensure alignment and credibility
  • Debug under pressure: Rapidly unblock issues in mission-critical environments and ensure customer success.
  • Shape the product: Act as the feedback loop between the field and our core engineering teams - turning deployment learnings into platform evolution
  • Deliver long-term impact: Work closely with Deployment Strategists to ensure scalable architectures and durable customer value

Our Technology Stack: Python,TypeScript, Node.js, OpenAI, Microsoft Azure, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka, MCP

Who you are:

  • 7+ years of professional experience in software engineering, systems integration, DevOps, or data engineering roles with direct customer impact
  • Proven track record of leading deep technical deployments and integrations in large-scale enterprise environments
  • Strong technical depth across backend engineering, infrastructure-as-code, Kubernetes/cloud platforms, APIs, and databases - with proven experience in systems design and the ability to go hands-on in production systems
  • Ability to operate independently in ambiguous, high-responsibility settings, especially when deploying live to enterprise systems
  • A builder’s mindset with bias for action, creativity under pressure, and an obsession with making things work in the real world
  • Degree in Computer Science, Engineering, or related technical field
  • Strong plus: Experience building or integrating AI/LLM-powered systems (e.g., embedding agent workflows, vector databases, prompt orchestration)

Our recruiting process:

Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

OTE Salary Range - $160,000 - $230,000 OTE + Equity

Salary Range

$160,000—$230,000 USD

Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team.


Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.

Parloa is an e-verify employer in the USA. Please click here to learn more.

\ We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.*

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Навыки

  • Python
  • TypeScript
  • Node.js
  • OpenAI
  • Microsoft Azure
  • Kubernetes
  • Docker
  • Terraform
  • MongoDB
  • MySQL
  • Redis
  • Kafka
  • LLM
  • Backend Engineering
  • DevOps
  • System Design

Возможные вопросы на собеседовании

Проверка опыта работы с корпоративными клиентами и умения адаптировать продукт под их нужды.

Расскажите о самом сложном случае внедрения продукта в инфраструктуру клиента. С какими техническими ограничениями вы столкнулись и как их обошли?

Оценка навыков системного дизайна и работы с современным стеком.

Как бы вы спроектировали отказоустойчивую интеграцию между нашей AI-платформой и устаревшей (legacy) базой данных клиента через Kubernetes?

Проверка опыта в сфере AI/LLM, который является преимуществом.

Какие основные проблемы вы видите при развертывании LLM-агентов в продакшене на уровне Enterprise (безопасность, задержки, галлюцинации)?

Оценка лидерских качеств и умения менторить.

Как вы подходите к техническому руководству младшими инженерами в полевых условиях, когда сроки поджимают, а требования меняются?

Проверка умения работать с инфраструктурой как кодом.

Опишите ваш опыт использования Terraform для управления сложными окружениями в Azure. Как вы обеспечиваете консистентность конфигураций?

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parloa
Страна
США
Зарплата
160 000 $ – 230 000 $