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Fluent, Inc.

HQ
New York, New York, USA
Total Offices: 3
250 Total Employees
60 Product + Tech Employees
Year Founded: 2010
Jobs at Fluent, Inc.
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Recently posted jobs

21 Hours AgoSaved
In-Office
New York, NY, USA
AdTech • Digital Media • eCommerce • Marketing Tech
Develop and optimize audience strategies for client campaigns, analyze performance data, manage campaign budgets, and collaborate with teams for successful executions.
4 Days AgoSaved
In-Office or Remote
Toronto, ON, CAN
AdTech • Digital Media • eCommerce • Marketing Tech
Lead product management for an AdTech platform, focusing on user experience and AI integration. Collaborate with teams to define roadmaps and address stakeholder needs.
4 Days AgoSaved
In-Office or Remote
New York, NY, USA
AdTech • Digital Media • eCommerce • Marketing Tech
Lead the vision and roadmap for AdTech capabilities, enhancing UX and integrating AI-driven solutions while collaborating with technical teams to improve coding efficiency.
9 Days AgoSaved
In-Office or Remote
New York, NY, USA
AdTech • Digital Media • eCommerce • Marketing Tech
The Sales Director will lead growth in programmatic and data solutions by developing partnerships, managing sales cycles, and positioning Fluent as a strategic partner for clients, particularly in the Health & Pharmaceutical sectors.
17 Days AgoSaved
In-Office or Remote
New York, NY, USA
AdTech • Digital Media • eCommerce • Marketing Tech
The Security Architect will enhance security operations by evaluating infrastructures, designing solutions, leading SOC implementation, and embedding security in engineering decisions.
17 Days AgoSaved
In-Office or Remote
Toronto, ON, CAN
AdTech • Digital Media • eCommerce • Marketing Tech
As a Security Architect, you will enhance security operations, design a SOC, and integrate IAM with cloud and application environments.
25 Days AgoSaved
In-Office or Remote
Toronto, ON, CAN
AdTech • Digital Media • eCommerce • Marketing Tech
As a Senior Data Engineer, you'll build scalable data pipelines, optimize data models, and ensure pipeline performance using Databricks, PySpark, and Kafka while collaborating cross-functionally with Architects and Scientists.