As a GTM Analytics Manager, you will analyze sales performance, manage pipeline analytics, and collaborate across teams to enhance revenue operations.
Are you ready to power the World's connections?
If you don’t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we’re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.
About the role:
As a GTM Analytics Manager on Kong’s Global Revenue Analytics team, you’ll play a pivotal role in scaling our sales organization. You’ll own day-to-day analytics for GTM teams, providing data-driven insights that illuminate sales performance, pipeline health, and overall business growth. This role requires strong analytical skills, cross-functional collaboration, and a strategic mindset to enhance Kong’s revenue operations.
What You’ll Do:
- Partner with the GTM Analytics Director execute a roadmap to equip GTM teams with key data, analysis, and insights for scale and growth.
- Evolve Kong’s analytics tools, dashboards, and reporting capabilities.
- Own all aspects of pipeline analytics, including forecasting, health, generation, movement, and coverage.
- Contribute to strategic projects such as GTM annual planning, pipeline target setting, capacity planning, and product consumption analysis.
- Maintain a revenue forecast model to enhance predictability in revenue generation.
- Manage headcount forecasting for AE, SDR, and SE teams to ensure capacity planning aligns with business goals.
- Support quarterly business reviews (QBRs), board presentations, end-of-quarter analysis, and reconciliation.
- Establish processes and best practices to elevate the GTM Analytics team’s impact.
- Collaborate with Revenue Operations to drive standardization and visibility across global sales teams.
- And any additional tasks required by manager.
What You’ll Bring:
- Bachelor's degree from a top university.
- 4+ years of experience in Sales Operations, Data Analytics, Consulting, or Financial Planning in an analytical role.
- Strong understanding of SaaS business models and large global sales teams.
- Experience working with CRM systems and sales productivity tools.
- Exceptional cross-functional collaboration and problem-solving skills.
- Ability to manage multiple projects and prioritize based on business impact.
- Deep knowledge of enterprise sales metrics and pipeline analytics.
- Proficiency in MS Excel, Google Sheets, SFDC, Clari, Tableau, or similar analytics tools.
- SQL proficiency is a plus.
- Experience with Snowflake or similar data platforms.
- SFDC Admin Certification is a plus.
Kong has different base pay ranges for different work locations within the United States, which allows us to pay employees competitively and consistently in different geographic markets. Compensation varies depending on a wide array of factors, including but not limited to specific candidate location, role, skill set and level of experience. Certain roles are eligible for additional rewards including sales incentives depending on the terms of the applicable plan and role. Benefits may vary depending on location. US based employees are typically offered access to healthcare benefits, a 401(k) plan, short and long term disability benefits, basic life and AD&D insurance, among others. The typical base pay range for this role in the US is $100,000 - 133,000.
About Kong:
Kong Inc., a leading developer of cloud API technologies, is on a mission to enable companies around the world to become “API-first” and securely accelerate AI adoption. Kong helps organizations globally — from startups to Fortune 500 enterprises — unleash developer productivity, build securely, and accelerate time to market. For more information about Kong, please visit www.konghq.com or follow us on X @thekonginc.
#LI-BR2
Top Skills
Clari
Google Sheets
Excel
SFDC
Snowflake
SQL
Tableau
Similar Jobs
Machine Learning • Productivity • Sales • Software
The Senior Sales Operations Manager will provide insights, drive sales optimization, and manage forecasting while collaborating with senior leaders across various teams.
Top Skills:
ExcelSalesforceTableau
Software
The GTM Insights & Analytics Manager will define metrics, ensure data integrity, analyze performance, and build dashboards to support Revenue Operations.
Top Skills:
ExcelGainsightLookerMarketoOmniPythonSalesforceSQL
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Senior Technical Consultant leads customer engagements on the ServiceNow platform, focusing on ITAM implementation and optimization, ensuring successful project delivery and customer satisfaction through technical expertise and guidance.
Top Skills:
BootstrapCSSHardware Asset ManagementHTMLJavaScriptLdapMiddlewareServicenowSoftware Asset ManagementSsoWeb ServicesXML
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
