Retail Marketing & Media Manager

About the role

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.

Key Responsibilities

Media Management & Audience-Based Strategy

• Media Ownership: Manage and optimize all marketing spend across channels aimed at driving audience growth and retail velocity.
• Retail Media Networks (RMNs): Develop and execute retail media campaigns across platforms like Walmart Connect, Target Roundel, and other major RMNs.
• Platform Expertise: Leverage deep knowledge of Meta, Demand-Side Platforms (DSPs), and broader online advertising to drive retail attribution and omnichannel success.
• Creative & Hook Strategy: Analyze visual performance data (hook rates, hold rates), write clear briefs for design teams, and manage a robust creative testing pipeline.
• Conversion Rate Optimization (CRO) & Funnel Ownership: Audit and optimize post-click experiences. Partner with web developers and CRO teams to build, test, and iterate on high-converting landing pages (via Shopify).
• Search Synergy: Work closely and collaboratively with the Search Lead to ensure search and audience-based media strategies are complementary and holistic.

Campaign Execution & Cross-Functional Collaboration

• End-to-End Management: Oversee campaign briefs, timelines, approvals, asset delivery, and overall launch readiness.
• Partnership: Build campaigns and partner with retailer media teams and internal agency partners to ensure flawless execution and optimization.
• Internal Alignment: Work closely with the Commercial team, Brand Marketing, and specifically the Creative and Social teams to ensure all media is supported by compelling, brand-aligned assets.
• Innovation: Stay current on evolving retail media capabilities and proactively recommend new opportunities to drive brand growth.

Analytics, Budget, & Performance Optimization

• Data-Led Decision Making: Analyze full-funnel metrics (NTB, ROAS, CPA, LTV, and CAC) on a daily basis. Take rapid actions to hit performance goals.
• Budget Management: Manage all retail marketing budgets, forecasts, invoice processing, and spend tracking.
• Reporting & Dashboards: Develop dashboards and scorecards to measure campaign effectiveness across retail media, promotions, launches, and shopper marketing initiatives.
• KPI Tracking: Monitor and report on key performance indicators, including:
  • Sales Lift & Incremental Sales
  • Return on Ad Spend (ROAS)
  • Conversion Rates
  • New-to-Brand Customers
  • Media Performance & Promotional Effectiveness
• Business Reviews: Lead post-campaign business reviews with clear, data-driven insights and actionable recommendations.
• Strategic Investment: Partner with Sales, Finance, and Marketing to maximize marketing ROI and inform future investment decisions.
• A/B Testing & Playbook Codification: Run continuous testing across audiences, creative formats, and bidding strategies. Build out and update internal Standard Operating Procedures (SOPs) to turn successful tests into scalable, company-wide frameworks.
• AI-Driven Scaling & Automation: Proactively leverage AI and automation tools to optimize paid performance (budget management, bids management, targeting, creative concepts and landing page conversion rate optimization) as well as automate routine optimization tasks.

Pay

The estimated salary range for this role is $80–100K per year. Final compensation will depend on experience, skills, and location.

Requirements

• 5+ years of experience in a media agency or on the brand side, with deep knowledge of retail marketing, e-commerce, and media buying.
• US experience or managing media for the US market is a plus.
• AI-Native Mindset: Actively integrate AI into your daily workflow to work smarter and 10x your output.
• Retail Exposure: Proven experience supporting major retailers (e.g., Walmart, Target, CVS, Costco, or national grocery chains). Exposure to the US market is highly preferred.
• Project Management: Strong project management skills with exceptional organizational abilities and attention to detail.
• Analytical Mindset: Highly analytical, with the ability to translate complex data into clear, actionable business recommendations.
• Financial Acumen: Highly comfortable managing complex budgets, tracking spend, and measuring ROI.
• Communication: Excellent communication and relationship-building skills, capable of bridging the gap between creative and commercial teams.
• Adaptability: Thrives in a fast-paced, entrepreneurial environment where priorities evolve quickly and initiative is rewarded.
• Digital Fluency & AI Integration: Technical fluency is a prerequisite for excellence. Experience with LLMs, automated workflows, and data analysis tools (including SQL) is valued, with a commitment to continuous experimentation and application of AI to solve complex business problems.