SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 168,000 - 203,000 / annual
Airbnb is seeking a Sales Operations Lead to drive business growth and optimize revenue generation for the Supply organization's Central Team. You will partner with cross-functional teams including field sales, account management, marketing, and internal stakeholders to support Airbnb's global expansion and supply development efforts.
In this role, you will own strategic planning initiatives at a global scale, including annual planning, regional and global OKR development, capacity modeling, and goal-setting. You'll diagnose performance opportunities, build processes to streamline projects, and develop forecasting methodologies in alignment with Sales, Finance, and Advanced Analytics teams.
You will drive reporting and analytics delivery across regions and business lines, generating actionable insights through weekly business reviews (WBRs) and monthly business reviews (MBRs). You'll conduct ad-hoc analyses to support business initiatives and provide analytical recommendations to sales managers and leadership. Collaboration is central to the role: you'll work with Sales, Finance, Growth Marketing, and technical teams (SupplyTech, Analytics, Data Science, Data Engineering) to improve sales efficiency, support strategic initiatives, and translate global strategies into executable plans.
Additionally, you'll collaborate with Regional Sales Operations leads to design, track, and monitor sales compensation and incentive strategies.
The role is remote-eligible within the US, though occasional office work or offsites may be required as agreed with your manager. You must reside in a state where Airbnb, Inc. has a registered entity.
REQUIREMENTS:
- 10+ years of experience in analytics, revenue operations, sales operations, or related field
- Expertise in key performance indicators (KPIs) to measure revenue operations success and identify optimization areas
- Proficiency with data analysis tools (SQL, Excel) and familiarity with data warehousing and BI reporting platforms
- Comfort using AI tools (Claude) as part of daily workflow
- Experience across the customer lifecycle with customer success teams
- Strong problem-solving and analytical skills, including designing and evolving financial/business models
- Demonstrated success creating operational rigor and excellence while building trusted stakeholder relationships
- Track record of partnering with senior leadership as a thought partner to inform strategy and decision-making
