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Staff Software Engineer, Flywheel Engage

Оценка ИИ

HubSpot — топовый работодатель с сильной инженерной культурой и фокусом на современные AI-технологии. Позиция предлагает высокую степень влияния на продукт, работу с передовым стеком и отличные возможности для профессионального роста в международной среде.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль уровня Staff предполагает высокую степень автономности, решение сложных архитектурных задач на стыке AI и бэкенда, а также значительное влияние на техническую стратегию компании. Требуется опыт работы с фронтирными моделями ИИ и глубокое понимание бизнес-процессов продаж (GTM).

Анализ зарплаты

Медиана115 000 £
Рынок95 000 £ – 150 000 £
Оценка ИИ

Указанная роль Staff-инженера в Лондоне соответствует верхнему сегменту рынка. HubSpot обычно предлагает конкурентные пакеты, включающие базовый оклад, бонусы и опционы (RSU), что может значительно превышать средние показатели по рынку для стандартных бэкенд-разработчиков.

Сопроводительное письмо

I am writing to express my strong interest in the Staff Software Engineer position within the Engage Product Group at HubSpot. With a deep background in building scalable AI-driven products and a passion for Go-To-Market efficiency, I am excited by the opportunity to lead the development of the intelligent context layer. My experience in architecting multi-agent systems and centralizing insight retrieval aligns perfectly with your mission to reinvent sales workflows through world-class AI.

Throughout my career, I have focused on bridging the gap between complex engineering challenges and tangible business outcomes. I have a proven track record of collaborating with cross-functional teams to disambiguate product requirements and mentor engineers toward technical excellence. I am particularly drawn to HubSpot's culture of autonomy and "Solving for the Customer," and I am eager to contribute to the evolution of the Flywheel product line from your London hub.

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Откликнитесь в hubspotjobs уже сейчас

Присоединяйтесь к HubSpot, чтобы создавать инновационные AI-решения для GTM и определять техническое будущее ведущей CRM-платформы!

Описание вакансии

*This role can be Office/Hybrid/Remote based within Ireland*

We’re looking to add a Staff Software Engineer to join the Engage Product Group in Flywheel Product Line.

Engage Product Group mission is to reinvent HubSpot GTM Sales teams by supercharging our sales reps with world-class AI to help them hit and exceed plans. We build, evolve and maintain sophisticated AI products that meaningfully increase closed won rates by qualifying inbound leads with AI, providing intelligent insights and coaching, and generate highly-customized demo instances for every HubSpot prospect using multi-agent systems.

For this specific role, we are building a reusable, reliable, and intelligent context layer for GTM AI and agents. Our goal is to centralize insight storage, search, and retrieval; enabling faster experimentation; improving insight quality through evaluation and versioning; and powering flagship agents and guided experiences with consistent, high-quality context.

Staff Software Engineers are highly productive, impactful, and trusted engineers who leverage their skills and knowledge to work autonomously on the most complex projects and set technical direction. These problems can be broad, deep, and often span across multiple teams and product areas. Context will be your primary focus for the next few months, but we expect that you will deploy to other teams in the group over time as well.

As a Staff Software Engineer on Engage Context team you will:

  • Write and ship production code that has meaningful business and GTM impact
  • Disambiguate, design and build new AI features, agents and insights, each contributing to GTM efficiency and user or prospect experience
  • Work with a small cross-functional teams of product engineers, ML engineers, PMs and designers
  • Collaborate with HubSpotters and GTM folks all over the company
  • Get deep exposure to how HubSpot GTM works

We’re looking for engineers who have a track record of strong business and product mindset, who enjoy working with real GTM challenges and can navigate ambiguity with high levels of autonomy and passion.

We work with Java primarily, but experience with specific technologies is secondary to strong programming fundamentals. Check out ourengineering blog to learn more.

What we’d like to see:

  • Experience in building AI products, especially but not only in GTM context, with a track record of tackling evaluations and innovation on top of frontier models advances.
  • Experience in building products used by GTM teams - sales or service - and drive for using technology to drive business outcomes.
  • Experience working closely with product management, designers and GTM teams, to help disambiguate problems, opportunities and co-create a solution.
  • A passion for clean, scalable code and engineering excellence.
  • The ability to work collaboratively with the team to solve problems, transfer knowledge, and develop overall product architecture.
  • Coaching and mentorship experience.

We know the confidence gapandimpostor syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.

If you need accommodations or assistance due to a disability, please reach out to us using this form.


At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections.

If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements


*Massachusetts Applicants: 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.*

Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here.

India Applicants: link to HubSpot India's equal opportunity policy here.


About HubSpot

HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers.

At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow.

We’re building a companywhere people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too.

Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world.

Explore more:


HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found here. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. We may use CLEAR ID Verification during the hiring process to confirm your identity and help maintain a safe, secure, and trusted experience for all candidates. Refer to HubSpot's Recruiting Privacy Notice for details on data processing and your rights.

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Навыки

  • Java
  • Artificial Intelligence
  • Machine Learning
  • Backend Development
  • System Design
  • Software Architecture
  • Mentoring

Возможные вопросы на собеседовании

Позиция Staff-инженера требует умения проектировать системы, которые будут использоваться множеством команд.

Как бы вы спроектировали масштабируемый и надежный слой контекста (context layer) для AI-агентов, чтобы обеспечить консистентность данных между разными продуктовыми группами?

Вакансия сфокусирована на AI-продуктах для GTM. Важно понимать, как кандидат оценивает эффективность моделей.

Расскажите о вашем опыте внедрения систем оценки (evaluations) для AI-решений. Как вы измеряете влияние качества контекста на конечный результат работы агента?

HubSpot ценит инженеров, ориентированных на продукт и бизнес-результаты.

Приведите пример ситуации, когда техническое решение было изменено или упрощено ради ускорения достижения бизнес-целей GTM-команды. Как вы принимали это решение?

Staff-инженеры должны уметь работать в условиях неопределенности.

Опишите случай, когда вам пришлось работать над проектом с высокой степенью неопределенности (ambiguity). Как вы декомпозировали задачи и координировали работу нескольких команд?

Роль подразумевает наставничество и развитие инженерной культуры.

Как вы подходите к менторству старших инженеров и как способствуете распространению лучших практик написания чистого и масштабируемого кода в организации?

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