Rokt

HQ
New York, New York, USA
Total Offices: 11
800 Total Employees
Year Founded: 2012
All Teams

Rokt Go-To-Market Team

At Rokt, curiosity and ownership are essential for growth across our Go-To-Market (GTM) teams, which span six pillars: Marketing, Business Development, Customer Success, Solutions Engineering, Marketplace Operations, and Strategy & Planning. Supported by Rokt’s culture of autonomy, collaboration, and the Level Up program, GTM Rokt’stars continuously innovate while staying authentic. The result? Empowered teams that drive impact and success every day.

Inside Our Work


Opportunities for growth and development

For Justin D'Agostino, Director of Client Success at Rokt, joining the company was the perfect step in his career journey. He found that Rokt’s exposure to performance marketing and collaboration with leading financial services brands broadened his business acumen. “Rokt’s Level Up Program gave me the chance to refine my executive presence and communication skills,” he says. Embracing new challenges in a hyper-growth environment, D’Agostino has sharpened his expertise and feels more empowered and capable than ever.

profile

Justin D'Agostino

Director of Client Success

Recently posted jobs

YesterdaySaved
In-Office
New York, NY, USA
Artificial Intelligence • Digital Media • eCommerce • Marketing Tech • Software • Automation
The role involves architecting, building, and scaling distributed systems for Rokt's ecommerce platform. Responsibilities include designing APIs, optimizing performance, mentoring junior engineers, and collaborating with cross-functional teams.
YesterdaySaved
In-Office
New York, NY, USA
Artificial Intelligence • Digital Media • eCommerce • Marketing Tech • Software • Automation
As a Data Engineer, you'll transform data streams, build data models, maintain metrics governance, and enable analytics for diverse teams while ensuring data quality and reliability.
3 Days AgoSaved
In-Office
Sydney, New South Wales, AUS
Artificial Intelligence • Digital Media • eCommerce • Marketing Tech • Software • Automation
The Machine Learning Engineer will focus on translating academic insights into scalable ML products and building reliable ML systems while collaborating with engineers and product teams to drive business impact.