Associate Brand Manager (For Pooling)

The Associate Brand Manager is a vital operational and strategic partner who handles the day-to-day management of a large, high-value brand. This specialized role requires deep expertise and strategic execution, as your full ownership is focused on specific channels or high-priority tasks. This allows the Brand Manager to focus on the overall brand vision, while you serve as a key pillar in the brand's daily success by ensuring flawless execution.

• →Operational Ownership: Takes full ownership of a specific channel or high-priority tasks, such as managing complex PPC campaigns, overseeing major product launches, or coordinating with supply-chain on a large scale.
• →Data-Driven Execution: Performs advanced analysis on product-level data (revenue, margin, keyword rank, etc.) to investigate performance trends. You will be instrumental in articulating data-driven action plans and implementing them to improve brand performance.
• →Support for Strategic Initiatives: Serves as the primary implementer for brand-level and product-level strategies. Coordinates with internal teams (Creative, SEO, etc.) to execute projects that align with the brand's goals.
• →Reporting: Produces and maintains daily and weekly performance reports, providing timely updates to the Brand Manager on all key metrics.
• →Product Launch Management: This includes developing comprehensive launch strategies, coordinating the execution of campaigns with cross-functional teams, and analyzing performance to inform future product decisions. You are responsible for ensuring all new products are introduced effectively and positioned for long-term success.

• 3-5 years of e-commerce experience, with proven strategic and P&L management skills.
• Advanced Excel & Google Sheets proficiency for complex financial and operational analysis.
• Excellent analytical skills and a demonstrated expertise in managing and optimizing a brand's P&L.
• Deep knowledge of PPC and Amazon performance marketing.
• High proficiency in data analysis using tools like Snowflake and Tableau.
• Comprehensive understanding of all aspects of e-commerce operations.
• Empowered: The ability to take full ownership and make independent decisions for a brand.
• Brave: The courage to set and pursue ambitious, data-driven goals for the brand.
• Global Mindset: The ability to lead a brand's expansion into international markets.
• Autonomy: Operates with a high degree of independence and is directly accountable for all outcomes, while receiving validation from the Brand Manager.
• Entrepreneurial Mindset & Drive: A relentless focus on identifying and seizing growth opportunities.
• Communication: Exceptional communication and public speaking skills to lead teams and present strategies.

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:

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.

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.

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.

A final conversation with members of our leadership team to align on high-level strategy, business impact, and long-term vision.

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.