Manager, GTM Analytics & Data Science
Gong unlocks reality to help people and companies reach their full potential. The patented Gong Reality Platform™ empowers companies to take advantage of their most valuable assets – customer interactions, which the Gong platform automatically captures and analyzes. Gong then delivers insights at scale, empowering revenue and go-to-market teams to determine the best actions for winning outcomes. Thousands of innovative companies like Morningstar Inc., Paychex, LinkedIn, Shopify, Slack, Sprout Social, Twilio, and Zillow trust Gong to power their customer reality. Gong is an award winning company and was recognized on the Deloitte Technology Fast 500, Forbes Cloud 100, LinkedIn Top Startups, and Great Places to Work lists in 2022.
As a Manager, GTM Analytics and Data Science for our post sales teams, you’ll play a key role in helping Gong optimize the end to end customer journey. This includes identifying the right customers at the right time for our post sales teams to engage customers, the right insights to deliver to those customers, and measuring the efficacy of our interactions with our customers on their stated success criteria.
We're seeking someone based near one of the following cities: San Francisco, Salt Lake City, Chicago, or New York City.
RESPONSIBILITIES
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Work with business stakeholders to translate business problems into the right analytics, data science, and/or statistical solutions
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Build foundational data and visualizations to support analyses and enable business stakeholders to succeed (e.g., Build a dashboard for customer success to understand customer needs so as to drive retention)
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Apply statistical and/or data science techniques to optimize our business partners’ processes (e.g., measure the causal impact of Sales Engineers’ involvement on a deal’s likelihood to win)
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Use industry standard data tooling including dbt, snowflake, and Tableau to build ETL pipelines, visualizations, and production ML models
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Communicate insights to business owners in concise, non-technical language
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Build prototype data applications using python and tooling such as Workato (e.g., a quick application that can send alerts when something on an account changes)
QUALIFICATIONS
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6+ years of experience in a Data Science or Analytics role
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Bachelors level in a quantitative field such as physical sciences, engineering, mathematics, or economics
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Ability to succeed in a fast paced and self directed environment
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A passion for B2B sales and how to be innovative in the use of data to help sales and customer success
PERKS & BENEFITS
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We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
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Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle
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Mental Health benefits with covered therapy and coaching
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401(k) program to help you invest in your future
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Education & learning stipend for personal growth and development
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Flexible vacation time to promote a healthy work-life blend
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Paid parental leave to support you and your family
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Company-wide recharge days each quarter
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Work from home stipend to help you succeed in a remote environment
The annual salary hiring range for this position is $122,000-$180,000 USD.
Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets.
We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.
Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.
To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.
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