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Principal Software Engineer - Prospecting Agent
Исключительная позиция в топовой компании с очень высокой компенсацией, возможностью влиять на продукт мирового уровня и работать с передовыми технологиями AI. Отличная культура и прозрачные условия.
Сложность вакансии
Роль уровня Principal требует не только исключительных навыков системного проектирования и работы с AI, но и способности влиять на стратегию продукта и менторить старших инженеров. Высокая планка ответственности за архитектуру систем, которыми пользуются миллионы людей.
Анализ зарплаты
Предлагаемый диапазон ($314k – $502k) находится на верхнем уровне рынка для позиций Principal Engineer в США, особенно для компаний уровня Big Tech и Tier-1 SaaS. Это значительно выше медианы по рынку для аналогичных ролей.
Сопроводительное письмо
I am writing to express my strong interest in the Principal Software Engineer position for the Prospecting Agent team at HubSpot. With extensive experience in architecting high-scale distributed systems and a deep understanding of integrating GenAI into production workflows, I am excited by the opportunity to help redefine B2B prospecting. My background in building signal-driven systems aligns perfectly with your mission to move beyond simple outreach execution toward smart, trust-first sourcing.
Throughout my career, I have balanced hands-on technical leadership with a product-centric mindset, ensuring that complex data pipelines and ML models translate into tangible user value. I am particularly drawn to HubSpot’s culture of transparency and autonomy, and I am eager to contribute to a team that values both technical excellence and human-centric automation. I look forward to the possibility of discussing how my expertise in system design and AI can help scale the Prospecting Agent platform.
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Описание вакансии
POS-31591
About the Team
The Prospecting Agent team is reimagining how B2B SMB and mid-market sales teams generate pipeline. Today’s outbound motion is inefficient and outdated: reps spend too much time researching, stitching together tools, and guessing who to contact next. Most products optimize for outreach execution, not for smart sourcing, prioritization, and trust.
This team is building an end-to-end, signal-driven prospecting system aligned with how modern B2B buying actually works: account-led, buying-group-aware, and trust-first. The goal is to combine human judgment with automation to help sales teams generate predictable, high-quality pipeline—without burning their brand or their reps.
About the Role
We’re looking for a Principal Software Engineer to be a technical anchor for Prospecting Agent. This is a deeply hands-on role for a builder who thrives in ambiguous, product-shaping environments.
As a Principal Engineer on this team, you will help define how data, AI, and workflows come together to power intelligent prospecting at scale. You won’t just execute on a roadmap—you’ll help create it, turning fuzzy problems like “who should I contact next and with what message?” into reliable, explainable, production-grade systems used by millions of sellers.
Key Expectations
- Architect signal-driven prospecting systems: Define how intent signals, firmographics, behavioral data, and CRM context combine into actionable prioritization and recommendations.
- Hands-on, high-leverage builder: Write production code, lead complex initiatives end-to-end, and take systems from prototype to scale.
- AI + systems thinking: Shape how ML and GenAI models integrate into deterministic workflows, balancing automation with transparency and user trust.
- Product-shaping technical leadership: Influence what the product should be, not just how it’s built—partnering closely with Product to define surfaces, workflows, and tradeoffs.
- Platform and extensibility mindset: Design systems that work across accounts, buying groups, and regions while remaining extensible and evolvable.
- Cross-team influence: Work horizontally across CRM, data, AI, and GTM teams to align patterns and avoid local optimizations.
- Raise the technical bar: Mentor senior engineers, guide architectural reviews, and turn incidents and failures into better system design.
What You Bring
- Proven experience building and evolving distributed systems at scale, where data quality, latency, and explainability matter.
- Strong architectural instincts and comfort working across data pipelines, APIs, and user-facing workflows.
- Experience applying ML or GenAI in real products, with a healthy skepticism for “magic” and a bias toward trust and control.
- Strong architectural instincts with a bias toward simplicity, consistency, and well-defined boundaries.
- A product mindset: you care deeply about helping sales teams do better work, not just building clever systems.
Pay & Benefits
The cash compensation below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, some roles are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are tailored to your skills, experience, qualifications, and other job-related reasons.
This resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy.
Benefits are also an important piece of your total compensation package. Explore the benefits and perks HubSpot offers to help employees grow better.
At HubSpot, fair compensation practices aren’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community.
Annual Cash Compensation Range:
$313,800—$502,080 USD
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
- Distributed Systems
- Generative AI
- Machine Learning
- System Design
- API Design
- Data Pipelines
- Architecture
Возможные вопросы на собеседовании
Проверка способности проектировать сложные системы сбора и обработки данных.
Как бы вы спроектировали систему ранжирования лидов, которая должна обрабатывать сигналы намерений (intent signals) в реальном времени, сохраняя при этом объяснимость рекомендаций для пользователя?
Оценка опыта работы с AI и понимания рисков.
Расскажите о случае, когда вы внедряли GenAI в продукт. Как вы решали проблему галлюцинаций и обеспечивали доверие пользователей к результатам работы модели?
Проверка лидерских качеств и умения работать с неопределенностью.
Опишите ситуацию, когда вам приходилось принимать архитектурное решение в условиях высокой неопределенности продукта. Как вы балансировали между скоростью разработки и долгосрочной масштабируемостью?
Оценка навыков кросс-командного взаимодействия.
Как вы подходите к выравниванию технических стандартов между разными командами (например, CRM и AI), чтобы избежать локальных оптимизаций в ущерб общей платформе?
Проверка продуктового мышления инженера.
Как вы определяете границы между автоматизацией процесса продаж и сохранением человеческого контроля? Приведите пример компромисса, на который вам приходилось идти.
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- 313 800 $ – 502 080 $