We develop a closed-loop platform empowering brands and agencies to stay on top of the market trends, monitor digital shelf, automate campaigns, and leverage operational insights for digital commerce growth.
Our platform serves a varied client including leaders, operators, and scientists in media, marketing, and e-commerce teams across brands, digital agencies, e-commerce enablers, and marketplaces, facilitating efficient revenue generation on Retail Media Network, a $100B category that will dominate the digital advertising for a decade.
We earn a track record of facilitating over $3 billion in GMV, optimizing more than $200 million in media spend, and catering to clients in over 10 countries worldwide.
Recognized in Gartner's Market Guide for Digital Shelf Analytics alongside 15 other leading global SaaS companies from the US, Europe, and India.
Our aspiration is to develop a Positional Software that simply change the way that advertisers gather insights and make decisions. A combination of Notion and The Trade Desk.
We may fit those who (want to)
Challenge the status quo and have the yes if mindset
Be responsive and compelling
Speak and act on data
Debate and be listened
Embrace the closed-loop, no loose ends in the thought and the work
As a Customer Success Controller, you will
Utilize data to generate actionable insights, translating them into recommendations for clients and internal teams
Develop and refine templates to streamline processes and optimize efficiency in reporting and problem discovery
Gather and utilize client feedback and industry trends to continuously improve processes and deliver exceptional service
Design, build, and own a comprehensive customer success metrics framework covering adoption, retention, expansion, and health scores
Establish visibility dashboards and reporting systems that provide real-time insights into customer health and engagement, enabling CSMs to proactively reach out with solutions
Create early warning systems and trigger mechanisms that alert CSMs to customer risks and expansion opportunities
Develop predictive models and segmentation frameworks that enable prioritized customer outreach and interventions
Build automated workflows that surface the right insights to the right people at the right time
Who you are
Minimum 3 years of work experience in a high-paced & data-informed environment, ideally in customer success, analytics, or operations roles
Strong analytical mindset with the ability to work with large datasets, build metrics frameworks, and extract meaningful patterns
Hungriness, you will be joining a startup with its pros and cons
Foreign exposure, either through study or work
Very tech platform savvy: SQL, Zapier, Integromat, Google Scripts, ChatGPT, and data visualization tools (Tableau, Looker, etc.) are already in your toolkit
Self-starter mentality with strong ownership - you see gaps in customer success visibility and you fill them without being asked
