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Principal Engineer, Fin AI Agent
Intercom — лидер рынка с сильной инженерной культурой и успешным переходом на ИИ-рельсы. Вакансия предлагает высокую автономность, работу с передовым стеком (Claude Code, LLM) и значительное влияние на продукт, подкрепленное недавними инвестициями в $250 млн.
Сложность вакансии
Роль требует исключительного сочетания глубоких технических знаний (10+ лет), лидерских качеств для запуска новых направлений и практического опыта работы с ИИ. Высокая планка ожиданий обусловлена необходимостью работать в условиях жесткой конкуренции и быстро меняющихся парадигм разработки.
Анализ зарплаты
Предлагаемая позиция Principal Engineer в Берлине находится на верхнем уровне рыночного диапазона. Учитывая недавнее финансирование Intercom и статус 'AI-first' компании, можно ожидать компенсацию выше среднего по рынку, включая значительную долю в капитале (equity).
Сопроводительное письмо
I am writing to express my strong interest in the Principal Engineer position for the Fin AI Agent team at Intercom. With over a decade of experience in building large-scale distributed systems and a deep passion for AI-first development, I have closely followed Intercom’s successful pivot to becoming an AI-led customer service company. My background combines the technical depth required to architect complex systems with the product intuition necessary to ensure those systems deliver genuine value to users.
In my previous roles, I have specialized in '0-to-1' initiatives, taking ambiguous problem spaces and turning them into high-performing engineering workstreams. I am particularly excited about Intercom's commitment to AI-assisted development, such as the integration of Claude Code and MCP servers, as I believe this is the future of engineering productivity. I thrive in high-pressure, competitive environments and am eager to bring my expertise in LLM-powered features and system design to help Fin maintain its position as the market leader.
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Описание вакансии
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.
Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.
Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.
What's the opportunity?
Fin is the #1 AI agent for customer service. It resolves over 1M customer conversations every week, and we're just getting started. We're on the cutting edge of defining how AI agents should work — inventing paradigms that didn't exist six months ago and discovering entirely new problem spaces every time we push the technology further.
This role sits at the heart of the Service Agent pillar — 12 teams and growing, building every capability that makes Fin work. You'll partner at the strategic pillar level: broad context across work streams, deep technical understanding of how Fin operates end-to-end, and the autonomy to decide where you need to go next. When we need a new work stream spun up from scratch — a brand new team, an ambiguous problem space, aggressive timelines — you're the person who makes that happen.
The competitive landscape is intense. Fast-moving AI-native startups are coming hard for this space, shipping aggressively and going after the same deals we are. We need someone who thrives under that pressure, who can maintain technical excellence while moving at startup speed within a company that has the resources and customer base to make that speed count.
What will you do?
- Partner at the strategic pillar level. You'll have broad context across work streams and use that to inform technical strategy and investment priorities. What should we care about? Where should we invest? Where do you need to step in? These are your decisions.
- Spin up 0-to-1 work streams. Bring together engineers who've never worked as a team, disambiguate the problem space, build momentum under aggressive timelines, set high expectations, and drive execution.
- Execute on the most ambiguous, highest-stakes problems. You're hands-on. You write code, you ship features, you're deep in the weeds. We've seen too many Principal Engineers who are brilliant but too far from execution to be effective here.
- Lead experimental work at the AI frontier. Run your own A/B tests, do prompt engineering, build evals, and calibrate accuracy, cost, and latency for LLM-powered features. Much of what we're building are new paradigms for customer-facing software.
- Shape long-term technical strategy through execution. Your hands-on work informs the architecture. You're simultaneously building and thinking about what needs to change about how we build products — data models, system design, the shift from GUI-first to agent-first interfaces.
- Work across the full stack in an AI-first development environment. Every engineer has Claude Code with unlimited tokens and a sophisticated ecosystem of MCP servers, skills, and shared context. You'll push the boundaries of what's possible with AI-assisted development and help shape how the entire engineering org works.
- Raise the bar for the people around you. Give direct, actionable feedback that changes outcomes. We don't need someone who mentors juniors on the basics — we need someone who can accelerate and grow the senior and staff engineers around them.
What are we looking for?
The core requirement: engineering depth and product thinking. We need someone who combines deep engineering ability with strong product and design instincts — not one or the other. We don't want engineers who are technically brilliant but disconnected from the product. And we don't want product-minded engineers who have great instincts but can't execute at the level this work demands. You need to be able to both build complex systems AND identify the right problems to solve. This is the single most important dimension we evaluate on.
Beyond that:
- Operated at real scale and has builder energy. You've likely spent time at companies operating at significant scale — the kind of environment where you've seen what large-scale distributed systems actually look like in production. But you also have startup DNA: urgency, resourcefulness, a bias toward building over discussing.
- AI fluency. You're actively experimenting with AI-assisted development, pushing the boundaries of what's possible, and forming opinions about how it changes the way teams build software. This matters more than any specific stack experience.
- Deep technical depth with breadth. You can go deep into the weeds on at least one technical domain, but you also navigate complex multi-team systems with ease. In conversation, you move fluidly from business context to technical strategy to implementation details.
- Communication as a superpower. You can explain to leadership why a technical investment matters, align multiple teams around a complex project, and then walk an engineer through the gnarly implementation details. This role lives and dies on your ability to communicate across every level.
- Extreme autonomy. You partner with the Engineering Director on where you think the pillar needs to go next. You identify problems, form convictions, and act on them. If you're the kind of engineer who waits to be told what to work on, this isn't the right role.
- Critical thinking about the business. You understand what Intercom is optimizing for and translate that into technical decisions. Which work streams need investment? Where are we falling behind? What should we defund to go harder somewhere else? You think at this level naturally.
- At least ~10+ years of experience, with significant time as a technical leader driving complex projects across multiple teams and stakeholders.
- Stack agnostic. We use Ruby on Rails, React (migrating from Ember), and AWS. But AI tools increasingly abstract the stack — what matters is your ability to learn, build, and operate effectively with tools like Claude Code. If you're great with a high-level programming language and fluent with AI-assisted development, you'll be productive fast.
Why Intercom, why now?
Fin is #1 — and the race is heating up. We built the leading AI agent for customer service, but fast-moving AI-native startups are coming for this space. This is one of the most consequential competitive moments in tech history, and the engineering decisions made in the next 12 months will determine who wins.
A rare pivot that actually worked. Intercom has been building for 15 years — deep product, massive customer base, strong revenue. But unlike most legacy SaaS companies, we made a successful pivot to AI. While most of SaaS trends down, Intercom trends up. We recently raised $250M to go even further even faster..
AI-first engineering culture. Every engineer gets Claude Code with unlimited Opus 4.6 tokens and 1M context. We're investing heavily in the platform capabilities — MCP servers, skills, shared tooling — that make AI-assisted development genuinely transformative. You'll be at the sharp edge of figuring out what this means for how teams work.
The sweet spot. Big enough to have real resources, customers, and revenue. Small enough that you have genuine agency. Bold enough to make decisions that most companies of this size wouldn't. You come to Intercom if you want the impact of a startup with the backing of a company that's been winning for 15 years.
Benefits
We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!
- Competitive salary, annual bonus and equity
- Regular compensation reviews - we reward great work!
- Generous paid time off above statutory minimum
- Hybrid working
- MacBooks are our standard, but we also offer Windows for certain roles when needed.
- Fun events for employees, friends and family!
#LI-Hybrid
Policies
Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.
Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
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Навыки
- Ruby on Rails
- React
- AWS
- LLM
- Prompt Engineering
- System Design
- Distributed Systems
- A/B Testing
- Claude Code
Возможные вопросы на собеседовании
Проверка способности структурировать хаос и быстро запускать новые направления, что является ключевым требованием вакансии.
Опишите ваш опыт запуска проекта 'с нуля' (0-to-1) в условиях высокой неопределенности. Как вы формировали команду и расставляли приоритеты?
Вакансия подчеркивает важность практического участия Principal-инженера в разработке.
Как вы балансируете между стратегическим планированием на уровне всей компании и необходимостью писать код и участвовать в реализации конкретных фич?
Intercom активно использует ИИ-инструменты для разработки. Важно понять, как кандидат видит их влияние на процессы.
Как, по вашему мнению, использование LLM и инструментов вроде Claude Code меняет архитектурный подход и жизненный цикл разработки ПО в долгосрочной перспективе?
Роль требует работы с LLM, где важны не только алгоритмы, но и экономика/производительность.
Расскажите о случае, когда вам приходилось оптимизировать баланс между точностью ответов ИИ, стоимостью токенов и задержкой (latency). Какое решение вы приняли?
Principal Engineer в Intercom должен развивать Staff и Senior инженеров.
Приведите пример, когда ваша обратная связь или техническое руководство помогли значительно вырасти другому опытному инженеру (Staff/Senior уровня).
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