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GTM Analytics Manager

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 is THE cloud native API platform with the fastest, most adopted API gateway in the world (over 300m downloads!). As the innovation leader of cloud API technologies, Kong 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 to market.


83% of web traffic today is API calls!  APIs are the connective tissue of the cloud and the underlying technology that allows software to talk and interact with one another.  Therefore, we believe that APIs act as the nervous system of the cloud.  Our audacious mission is to build the nervous system that will safely and reliably connect all of humankind!


For more information about Kong, please visit konghq.com or follow @thekonginc on Twitter. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

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CEO of Kong
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Average salary estimate

$116500 / YEARLY (est.)
min
max
$100000K
$133000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About GTM Analytics Manager, Kong

Are you ready to make a significant impact as a GTM Analytics Manager at Kong? If you’re eager to contribute to powering the world's connections and are confident in your analytical prowess, keep reading! In this exciting role, you will become an instrumental part of Kong's Global Revenue Analytics team, providing day-to-day analytics that drive sales performance and overall business growth. You will collaborate closely with the GTM Analytics Director to execute a roadmap that arms GTM teams with essential data and insights for scaling operations. You’ll evolve our analytics tools and dive deep into pipeline analytics, including forecasting and health evaluation. Your strategic mindset will help in various initiatives like GTM planning and capacity forecasting. If you thrive in a fast-paced environment and enjoy problem-solving, this position is perfect for you! With a strong focus on cross-functional collaboration and best practices, your contributions will elevate the analytics team's impact on revenue operations. At Kong, we celebrate diverse backgrounds and experiences, so if you feel you're strong in a few key areas and open to learning more, we encourage you to apply. With great compensation and a commitment to healthcare benefits, retirement plans, and personal development, join us on our mission to revolutionize API-first innovations worldwide. Together, we will build the nervous system connecting all humankind.

Frequently Asked Questions (FAQs) for GTM Analytics Manager Role at Kong
What are the key responsibilities of a GTM Analytics Manager at Kong?

The GTM Analytics Manager at Kong is responsible for a variety of critical tasks, including owning day-to-day analytics for GTM teams, collaborating with the GTM Analytics Director to enhance data analysis capabilities, and contributing to revenue forecasting. This role includes evolving analytical tools and dashboards to provide actionable insights that can drive growth and sales performance.

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What qualifications do I need to apply for the GTM Analytics Manager position at Kong?

To be eligible for the GTM Analytics Manager role at Kong, applicants should possess a Bachelor's degree from a top university along with at least 4 years of experience in Sales Operations, Data Analytics, or similar analytical roles. Proficiency in tools such as MS Excel, Salesforce, and analytics platforms like Tableau is also essential.

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What type of experience is preferred for a GTM Analytics Manager role at Kong?

Kong prefers candidates with a deep understanding of SaaS business models and large global sales teams for the GTM Analytics Manager role. Experience with CRM systems, pipeline analytics, and SQL proficiency are advantageous, and having an SFDC Admin Certification is a plus.

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How does the GTM Analytics Manager contribute to revenue growth at Kong?

The GTM Analytics Manager plays a vital role in revenue growth at Kong by providing essential insights into sales performance and pipeline health. By maintaining revenue forecast models, managing headcount forecasting, and establishing best practices, this position ensures that strategies align with business objectives and drive effective execution.

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What is the typical compensation for a GTM Analytics Manager at Kong in the US?

The typical base pay range for the GTM Analytics Manager role at Kong in the US is between $100,000 and $133,000. Compensation varies based on factors such as location, role, skill set, and experience, with additional sales incentives available for certain positions.

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Common Interview Questions for GTM Analytics Manager
How do you prioritize multiple projects as a GTM Analytics Manager?

Effective prioritization starts with understanding the business impact of each project. I make a list of all ongoing projects, assess their urgency and importance, and then communicate with cross-functional teams to align on priorities to ensure focused execution.

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Can you describe your experience with pipeline analytics?

In my previous roles, I have managed pipeline analytics by analyzing data trends, forecasting revenue, and monitoring the health and movement of the sales pipeline. I collaborate closely with the sales team to ensure data accuracy and actionable insights, supporting strategic decisions.

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What analytical tools do you have experience with?

I am well-versed in various analytical tools, including MS Excel, Tableau, and Salesforce. Each of these tools allows me to extract insights from complex data and present them in a way that's easy for stakeholders to understand, enabling data-driven decision-making.

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How do you support quarterly business reviews in your role?

During quarterly business reviews, I focus on preparing detailed analytics reports highlighting sales performance, trend analysis, and forecasts. I collaborate with cross-functional teams to ensure that we provide comprehensive insights that facilitate strategic discussions during these reviews.

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What role does collaboration play in your approach as a GTM Analytics Manager?

Collaboration is key in the GTM Analytics Manager role. I work closely with sales, marketing, and product teams to ensure alignment on goals and metrics. By fostering open communication and teamwork, we can synthesize different perspectives and develop impactful analytics solutions.

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How do you approach evolving analytics tools and dashboards?

I approach evolving analytics tools and dashboards by continuously seeking feedback from users and analyzing how they interact with data. This allows me to identify pain points and opportunities for improvement, resulting in more intuitive and effective reporting tools.

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Can you explain how you maintain a revenue forecast model?

Maintaining a revenue forecast model involves regularly updating data inputs, analyzing market trends, and adjusting projections based on sales team inputs. I focus on creating a model that is flexible and can adapt to changes, ensuring that we remain accurate and reliable.

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How do you handle disagreements with team members regarding data interpretations?

In cases of disagreement, I prioritize open discussions to understand different viewpoints. I advocate for data-driven decisions, presenting evidence and fostering a collaborative environment to reach a consensus that aligns with our business objectives.

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What do you consider critical metrics in enterprise sales?

Critical metrics in enterprise sales include sales cycle length, lead conversion rates, and customer acquisition costs. Focusing on these metrics helps in understanding pipeline productivity and overall sales effectiveness, driving continuous improvement initiatives.

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What techniques do you use to analyze sales performance?

I employ various techniques to analyze sales performance, such as trend analysis, benchmarking against historical data, and cohort analysis. These methods allow me to uncover patterns, identify high-performing segments, and propose strategies for improvement.

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We are powering the world's connections! Today's world is all about connections, both digital and personal. We are providing the reliability and security to make those connections possible.

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DATE POSTED
April 8, 2025

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