Sales Operations Manager
AirtableSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Cloud Platform, SaaS, Data & AnalyticsIndustries
Requirements
Candidates should have 6+ years of experience in Sales Operations, Revenue Operations, or Strategic GTM roles in high-growth SaaS environments, with hands-on experience with PLG motions and consumption-based business models. They should be an expert in Excel and BI platforms, possessing a strong understanding of SQL for data analysis and automation, and have a strong grasp of Salesforce and GTM metrics. Fluency in English is required.
Responsibilities
As a Sales Operations Lead, you will partner with Sales Leadership and the CRO to define and drive sales strategy, including segmentation, coverage, compensation design, pipeline development, and forecast processes. You will serve as the connective tissue across GTM, ensuring strategic alignment between PLG-led inbound motion, outbound sales efforts, and our new partnership motion. You will drive operational rigor and accountability in weekly, monthly, and quarterly sales rhythms, collaborate with Business Insights to interpret data and performance trends, and support capacity planning, quota setting, territory models, and other foundational operational frameworks. You will work closely with our RevOps, Marketing, and Customer Success teams to ensure cross-functional coordination around growth priorities, acting as a strategic thought partner to the CRO and applying emerging AI technologies to optimize processes and expand your capacity for high-leverage work.
Skills
Sales Strategy
Pipeline Development
Forecast Processes
Data Interpretation
PLG
Go-to-market strategy
Accountability
Business Insights
Timescale
Time series data management and analytics
About Timescale
Timescale specializes in managing time series data through its main product, TimescaleDB, which is an open-source database designed to efficiently handle large volumes of data points collected over time. Built on PostgreSQL, TimescaleDB offers reliable performance and operational efficiency. The company serves various industries, including IoT and financial services, enabling clients to analyze and gain insights from time series data for improved decision-making and automation. Timescale differentiates itself by providing both on-premise and cloud-based solutions, along with a freemium model that allows users to access the core product for free while offering premium features and enterprise support for revenue. The goal of Timescale is to enhance how businesses manage and analyze time series data, making it easier and more effective for organizations to leverage their data.
Key Metrics
New York City, New YorkHeadquarters
2015Year Founded
$179.8MTotal Funding
SERIES_CCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
51-200Employees