채용
Role Summary
Hub Spot is navigating one of the most significant business model transitions in its history — from a traditional SaaS platform to an agentic customer platform built for the AI era. This isn't incremental evolution. It's a fundamental rethinking of how we go to market, how we price, how we sell, and how we serve customers. We're building a lean, AI-first commercial operations function to match the pace and ambition of that shift.
As VP, Commercial Operations, you will lead the global Rev Ops function across Sales, Marketing and Customer Success. You’ll shape how we plan, forecast, measure, and execute revenue in the AI era — redesigning systems, workflows, and team structures to power our next phase of growth. This is a strategic leadership role with direct impact on executive decision-making and company-wide performance.
This role reports to the EVP of Operations and offers C-suite exposure.
What You’ll Do
- Lead the full commercial operations function across Sales, Marketing and Customer Success — from revenue planning and forecasting to systems, deal desk, and renewals.
- Own the transition of our Rev Ops function from a traditional SaaS model to an AI-first, agentic operating model — redesigning tools, processes, and team structure for the next era.
- Develop and lead a high-performing team of ~150, with direct reports spanning planning & insights, strategic programs, systems, deal desk, renewals, and segment operations.
- Partner with GTM leadership and the C-suite on our business model evolution, including the shift to hybrid seats + credits pricing and a segment-first go-to-market strategy.
- Drive our Upmarket growth strategy by rethinking data architecture, enabling a target account model, and supporting vertical and product specialization.
- Build the analytics and visibility layer that powers executive and board-level revenue decision-making.
- Deploy AI and automation across the Rev Ops workflow to compress cycle times, eliminate low-leverage work, and make the team measurably more impactful.
Revenue Planning & Business Model Transition:
- Scale and mature the revenue planning function as Hub Spot transitions to a hybrid pricing model anchored on seats + agentic usage credits.
- Lead planning, forecasting, and goal-setting across the full revenue cycle — Sales, Marketing and CS — with frameworks designed for a consumption-influenced business.
- Develop clear market opportunity models by segment, and tie them to demand capture strategies in close partnership with Marketing leadership.
AI-First Operations:
- Build and continuously evolve an AI-first Rev Ops function — designing tools, workflows, and team structures that leverage agents to do more with less.
- Identify and deploy automation across forecasting, reporting, deal review, and operational cadences — eliminating work that doesn't require human judgment.
- Serve as a model for how a modern Rev Ops team operates in the agentic era; bring curiosity, experimentation, and clear thinking to what that looks like in practice.
Segment Strategy & Upmarket Execution:
- Support Hub Spot's shift to a segment-first strategy by aligning operations around global Small Business and Upmarket motions.
- Lead a fresh look at our data and systems architecture for the Upmarket segment, enabling a target account model, industry/vertical specialization, and a friction-free rep experience.
- Partner with GTM leadership on how roles evolve in the Flywheel model as we land with the agentic platform and scale use cases.
Data, Insights & Executive Communication:
- Own the data and analytics layer that gives executive and board-level stakeholders clear, timely visibility into revenue performance.
- Create narratives and strategic documents that translate complex, ambiguous business dynamics into crisp recommendations for senior leadership.
- Define and track the metrics that matter in a hybrid business model — not just carrying over legacy SaaS KPIs onto new motions.
Team Leadership & Operational Excellence:
- Lead and develop a globally distributed team, fostering a high-performance, AI-augmented culture focused on outcomes over activity.
- Design and optimize the rhythm of the business — operational reviews, planning cycles, performance cadences — for speed and clarity.
- Build strong cross-functional relationships with Finance (FP&A), Marketing leadership, Sales leadership, CS leadership, and the CCO.
What You’ll Bring
- 10+ years in Revenue Operations, GTM Operations, or Sales Operations at a scaled software or tech company — with meaningful recent experience at a fast-moving, AI-forward organization.
- Demonstrated ability to lead a major GTM or business model transition — segmentation redesign, pricing model change, coverage model evolution — not just optimization of what exists.
- Deep comfort building and operating AI-first workflows; you've experimented with AI tooling in your own work and have real opinions about what works.
- Strong data and analytics foundation — you understand how to structure the data layer, not just consume it, and you can move fluidly between strategic narrative and analytical detail.
- Experience leading large, globally distributed teams (100+) through periods of significant change.
- Outstanding communication skills — you can synthesize complexity and deliver clear, confident narratives to executives and cross-functional partners.
- Background in management consulting, investment banking, or FP&A is a plus; experience at companies like Salesforce, Workday, Atlassian, AWS, Ramp, or Clay is particularly relevant.
- Structured problem-solving skills combined with a strong bias toward action and execution — vision without follow-through is not enough.
What will make you stand out:
- Bias toward action over analysis paralysis — you make good calls with incomplete information and keep moving.
- Genuine excitement about AI as a craft — you experiment before being asked to, and you bring that energy into how you think about building teams and processes.
- Intellectual curiosity beyond your function — you want to deeply understand the agentic business model, not just map old metrics onto new motions.
- High comfort with ambiguity — you see a blank whiteboard and feel energy, not anxiety.
- Low ego, high standards — you can sit in a room with world-class operators, absorb fast, push back when you have conviction, and never let ego get in the way of being right.
- Systems thinking paired with executional follow-through — you design thoughtful frameworks and then actually build them.
- Clarity under complexity — you translate messy, interconnected dynamics into narratives that make people smarter and faster.
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](https: //form.asana.com/?k=Xr9-j19kRaY5T5NjIeyx4Q&d=8587152060687).
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 HubSpot's Career Diversity page here.
**India Applicants:
link to HubSpot 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:
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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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
직원 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
뉴스 & 버즈
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5d ago
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