招聘
福利待遇
•Remote Work
•Flexible Hours
必备技能
AI product development
Software architecture
Leadership
Mentorship
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 Hub Spot 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 Hub Spot 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:
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Write and ship production code that has meaningful business and GTM impact
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Disambiguate, design and build new AI features, agents and insights, each contributing to GTM efficiency and user or prospect experience
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Work with a small cross-functional teams of product engineers, ML engineers, PMs and designers
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Collaborate with Hub Spotters and GTM folks all over the company
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Get deep exposure to how Hub Spot 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 our engineering blog to learn more.
What we’d like to see:
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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.
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Experience in building products used by GTM teams - sales or service - and drive for using technology to drive business outcomes.
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Experience working closely with product management, designers and GTM teams, to help disambiguate problems, opportunities and co-create a solution.
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A passion for clean, scalable code and engineering excellence.
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The ability to work collaboratively with the team to solve problems, transfer knowledge, and develop overall product architecture.
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Coaching and mentorship experience.
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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关于HubSpot

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
员工数
Cambridge
总部位置
$31.3B
企业估值
评价
2.7
3条评价
工作生活平衡
2.5
薪酬
2.0
企业文化
2.5
职业发展
2.0
管理层
2.5
25%
推荐给朋友
缺点
High experience requirements for middle-management positions
Lengthy and complex recruitment process
No upfront salary discussion during hiring
薪资范围
1,357个数据点
Principal/L7
Senior/L5
Principal/L7 · Principal Data Analyst
1份报告
$213,724
年薪总额
基本工资
$164,403
股票
-
奖金
-
$213,724
$213,724
面试经验
4次面试
难度
3.3
/ 5
时长
14-28周
体验
正面 0%
中性 75%
负面 25%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Assessment
5
System Design Interview
6
Final Interview
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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