채용
복지 및 혜택
•Remote Work
•Flexible Hours
•Learning
필수 스킬
Software Engineering
SRE
Infrastructure
Team Leadership
Incident Management
System Design
Executive Communication
POS-31619
Director, Reliability Engineering
Role Summary
Our mission at Hub Spot is to help millions of organizations grow better. Hub Spot’s engineering organization has grown to more than 2,000 engineers shipping across thousands of services and deploying thousands of times per day. As Hub Spot has become core infrastructure for over 200,000 customers worldwide, reliability isn’t just a priority — it’s foundational to customer trust and business growth.
Our Reliability Engineering team has matured from an early SRE function into a strategic pillar within Platform Infrastructure. The team has driven a 76% reduction in critical incidents while the platform scaled 19x in deployables, established company-wide SLO frameworks, and built the incident management practices that keep Hub Spot running.
Now we’re entering the next phase: leveraging AI and agentic approaches to fundamentally transform how we detect, respond to, and prevent outages. As Director of Reliability Engineering, you’ll lead this evolution — deepening our reliability capabilities, pioneering AI-assisted operations, and ensuring Hub Spot remains a platform customers can confidently bet their business on.
What You’ll Do
Lead and Develop the Team
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Lead a team of ~20 reliability engineers, fostering a culture of operational excellence, continuous learning, and customer obsession
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Attract, develop, and retain top talent; build career paths that keep engineers engaged and growing
Own Reliability Strategy
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Define and drive Hub Spot's reliability roadmap, balancing proactive resilience investments with reactive incident reduction
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Partner with Infrastructure leadership to prioritize reliability initiatives alongside cost, performance, and platform evolution
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Set and evolve SLO standards that align engineering effort with customer experience
Pioneer AI-Driven Operations
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Lead the strategy for integrating AI and agentic approaches into incident detection, diagnosis, and mitigation-reducing time-to-resolution and human toil
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Explore and implement AI-assisted tooling for pattern recognition across incidents, automated runbook execution, and predictive reliability insights
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Build intelligent systems that learn from our operational history, proactively surface risks, and recommend-or execute-mitigation actions
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Balance automation with human judgment-designing systems where AI augments engineers rather than creating blind spots
Drive Company-Wide Impact
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Own incident management end-to-end: response coordination, executive communication during major incidents, and blameless post-incident reviews that drive systemic improvement
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Influence engineering culture across 100+ product teams-evangelizing reliability practices without compromising team autonomy
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Identify systemic risks across the platform and drive cross-functional mitigation efforts
Represent Reliability at the Executive Level
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Serve as the voice of reliability in leadership forums, translating technical risk into business terms
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Communicate transparently with customers and stakeholders during and after operational incidents
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Partner with peer directors across Infrastructure, Product Engineering, and Security to align on shared priorities
What You’ll Bring
Required Qualifications
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10+ years of experience in software engineering, SRE, or infrastructure, with 5+ years leading teams
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Track record of building and scaling reliability functions at companies with significant operational complexity
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Deep technical fluency-you can dive into architecture discussions, incident analysis, and system design with credibility
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Curiosity and vision for how AI/ML can transform operations; experience with or strong interest in AIOps, agentic automation, or ML-driven observability is a plus
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Proven ability to drive cultural and process change across a large engineering organization without top-down mandates
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Strong executive communication skills; comfortable leading incident bridges, presenting to leadership, and representing reliability externally
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Experience with modern cloud infrastructure (AWS preferred), observability tooling, and incident management practices
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A philosophy that balances reliability with velocity-you understand that the goal is sustainable speed, not gates
Why This Role
This is a high-visibility, high-impact leadership role at an inflection point. You'll own one of Infrastructure's four core pillars at a company where platform stability directly enables customer growth. You'll have the mandate to shape how AI transforms operational practices-not just at Hub Spot, but potentially as a model for the industry. You'll have executive access, strategic influence, and the opportunity to define what modern reliability engineering looks like.
We know the confidence gap and impostor 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 Hub Spot, 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 Hub Spot 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 Hub Spot's Career Diversity page here.
India Applicants: link to Hub Spot India's equal opportunity policy here.
About Hub Spot
Hub Spot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. Hub Spot's connected platform enables businesses to grow faster by focusing on what matters most: customers.
At Hub Spot, 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 company where 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, Hub Spot is headquartered in Cambridge, MA, with employees and offices around the world.
Explore more:
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Hub Spot Careers
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Life at Hub Spot on Instagram
Hub Spot 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 Hub Spot may collect your personal data for recruiting, global organization planning, and related purposes. Refer to Hub Spot's Recruiting Privacy Notice for details on data processing and your rights.
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모의 지원자 수
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HubSpot 소개

HubSpot
PublicHubSpot provides cloud-based customer relationship management (CRM) software and inbound marketing tools for businesses. The platform includes marketing automation, sales pipeline management, customer service, and content management capabilities.
5,001-10,000
직 원 수
Cambridge
본사 위치
$31.3B
기업 가치
리뷰
2.7
3개 리뷰
워라밸
2.5
보상
2.0
문화
2.5
커리어
2.0
경영진
2.5
25%
친구에게 추천
단점
High experience requirements for middle-management positions
Lengthy and complex recruitment process
No upfront salary discussion during hiring
연봉 정보
1,357개 데이터
Mid/L4
Senior/L5
Mid/L4 · SENIOR BUSINESS SYSTEMS ANALYST
1개 리포트
$150,020
총 연봉
기본급
$115,400
주식
-
보너스
-
$150,020
$150,020
면접 경험
4개 면접
난이도
3.3
/ 5
소요 기간
14-28주
경험
긍정 0%
보통 75%
부정 25%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Assessment
5
System Design Interview
6
Final Interview
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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