Performance Marketing Manager

Essor, where brands take flight. We find digital challenger brands and supercharge them into iconic global legends that consumers love. As a next-generation consumer products platform, we leverage technology, industry expertise, and strategic collaborations to ignite growth and launch brands beyond expectations.

Essor’s brand portfolio today includes a broad range of rapidly growing health & wellness and lifestyle brands like Boka, ZitSticka, Puracy, OTOTO Design, FreshCap, Iron Flask, Fullstar, NumNum, Key Nutrients, and Viking Revolution that are sold on Amazon, Direct to Consumer channels, and through national retailers like Target, CVS, and Walmart.

At Essor, we are at the forefront of leveraging AI, automation, and emerging technologies to challenge traditional ways of working. We are empowered to engage technology-driven initiatives. We want individuals who are hands-on, curious, and excited to be part of this journey. We expect Essorians to actively leverage AI, data, and automation to drive impact in their daily work. This includes, but is not limited to, the use of AI coding agents to automate tasks (e.g., Copilot, Antigravity), development of automated or agentic workflows (e.g., N8N, Dify), and engagement with data analysis tools (including SQL where relevant).While mastery is not required at the outset, rapid learning, technical fluency, and continuous upskilling are core expectations. The company will support your growth through guidance and coaching, and you are expected to actively develop and apply your skills as part of your role.

About the Role

As a Performance Marketing Manager, you will lead the effort in shaping and scaling our team with top talent while boosting our biggest brands' online presence. You will drive media buying strategy, campaign execution, and performance optimization across Amazon Ads (PPC/DSP), retail media platforms (Walmart, Target, etc.), and Meta/Google.

What you will do

• Manage multi-channel media buying across Amazon Ads (PPC/DSP), retail media platforms (Walmart, Target, etc.), and Meta/Google.

• Leverage AI-driven workflows and smart integrations to make managing ads faster and more efficient.
• Leverage our existing MarTech stack and partner with engineering to continuously improve it.
• Coordinate the optimization of content creation for the different media buying channel.
• Develop end-to-end relationships with the different team members such as creative team, brand managers and work hand in hand to provide the best performance.
• Analyze data, and provide insights to internal stakeholders related to ads performance and consumer funnels, particularly new customer acquisition.
• Identify the variables that can be optimized and own the execution of the optimization.
• Maintain collaborative relationships with peers and colleagues to contribute to the group’s achievement of goals, and to help foster a positive work environment.
• Stay up-to-date on the latest trends and eCommerce tactics for advertising platforms.

Who you are

• Minimum of 4-5 years of experience in media buying management and execution, with strong agency background preferred.
• Proven track record managing large-scale performance budgets (up to $20M annually) across Amazon Ads (PPC/DSP), retail media platforms (Walmart, Target, etc.), and Meta/Google.
• A strategic thinker with a proactive attitude and a problem-solving approach, foreseeing possible difficulties and opportunities within the accounts.
• Exceptional understanding of advanced targeting, planning, and insights capabilities available through paid platforms.
• Advanced understanding and experience of optimization levers available to ensure campaigns meet business goals.
• Bring proven experience in creating, testing, and optimizing high-converting content tailored for performance media buying channels.
• Effective time management and organizational skills with the ability to set priorities and achieve deadlines while dealing with multiple assignments.
• Well-organized and disciplined with regard to policy, procedure, and standards.
• Customer-focused and understanding of the customer experience.
• Good data driven skills; oral and written communication skills.
• Strong learning agility, able to learn quickly and apply knowledge to complex and changing work.
• Fluent in English.

Selection process:

We want to get to know your technical expertise, your strategic mindset, and how you approach problem-solving. Here is what you can expect during the interview process:

• Step 1: Initial Screening
• • A conversational interview with our Talent Acquisition/HR team. We will focus on understanding your core experience, your alignment with the role’s requirements, your aptitude for AI and emerging tech, and your overall cultural fit at Essor.
• Step 2: Case Study Assessment
• • A practical, take-home exercise designed to give you an opportunity to showcase your strategy, technical capabilities, and problem-solving skills in a real-world scenario.
• Step 3: Deep Dive & Case Review
• • You will meet first with the Hiring Manager, followed by the Head of Department. During these sessions, we will review your case study presentation, evaluate your blend of hard and soft skills, and discuss how you would collaborate with the wider team.
• Step 4: Final Leadership Interview
• • A final conversation with members of our leadership team to align on high-level strategy, business impact, and long-term vision.

Digital Fluency & AI Integration

At Essor, technical fluency is a prerequisite for excellence. We look for individuals who are excited to pioneer new ways of working by leveraging LLMs, automated workflows, and data analysis tools.

Whether it’s deploying AI coding agents (Copilot, Antigravity) to ship faster, building agentic workflows in N8N or Dify, or querying data via SQL to drive objective decisions, you should be a practitioner of the "automated-first" mindset. While we don't expect Day 1 mastery, we do require a relentless "learn-and-apply" loop. We are committed to your growth through active mentorship and internal upskilling, expecting in return a commitment to continuous experimentation and the proactive application of AI to solve complex business problems.

Own your impact. Join us.

We are an Equal Opportunity Employer. All qualified applicants for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin will be considered. No qualified applicants will be discriminated against on the basis of disability or protected veteran status.

veteran status.