3Z Brands is a dynamic, growing company positioned as a direct-to-consumer brand portfolio. They are seeking a performance-obsessed Digital Marketing Manager to own and scale paid media across high-spend channels, managing multimillion-dollar budgets while driving efficiency and growth.
Responsibilities:
- Own day-to-day execution across paid social (Meta primarily inclusive of FB and IG), paid search (Google, Microsoft), and other biddable channels
- Manage and pace multimillion-dollar monthly budgets with precision, making real-time reallocation decisions across channels to protect efficiency and hit growth targets
- Control bidding strategy and audience architecture across campaign types and funnel stages
- Build and manage creative testing frameworks with speed and rigor
- Identify and act on arbitrage opportunities across channels and formats
- Develop and maintain a point of view on creative strategy across channels, informed by performance data and cultural awareness
- Partner closely with creative teams/agencies to brief, iterate, and prioritize asset production based on what the data is telling you
- Identify winning creative patterns and translate them into scalable frameworks and repeatable testing hypotheses
- Stay current on platform creative best practices, emerging formats, and what is resonating with consumers in your category
- Use AI-powered creative tools to accelerate concepting, iteration, and production where possible
- Build a feedback loop between creative performance and brand strategy so neither operates in a vacuum
- Evaluate channels on their marginal contribution to revenue, not platform-reported ROAS
- Model the difference between what a channel claims and what it actually drives, especially at high monthly spend levels where attribution noise compounds
- Build spend curves and run scenario analysis to inform budget decisions and identify the point of diminishing returns
- Partner with measurement platforms (Haus, Rockerbox, Northbeam, or equivalent) to establish geo lift, MTA, and MMM frameworks
- Make the case for or against a channel based on incremental evidence, not vanity metrics
- Operate as an AI-native marketer, using AI tools daily to accelerate analysis, automate workflows, and surface insights faster
- Actively test emerging ad formats, AI-driven creative tools, and new bidding and automation frameworks before they become mainstream
- Stay ahead of what is new in marketing technology and bring a point of view on what is worth testing
- Default to running the experiment over debating whether to run it
- Build clean, decision-ready reporting that goes beyond surface metrics
- Model diminishing returns, payback period, and contribution margin across channels
- Comfortable with attribution ambiguity and skilled at making confident decisions with imperfect data
- Excel or Google Sheets fluency required, SQL a plus
- Translate campaign performance signals into creative direction and budget decisions quickly
- Hold agencies and vendors accountable to results; push back on generic recommendations
- Present findings clearly to a leadership audience without losing the analytical detail underneath
Requirements:
- 3+ years hands-on paid media experience across paid social and paid search
- Proven experience managing $2M+ in monthly ad spend with full ownership of pacing, allocation, and efficiency
- Strong analytical skills with a specific focus on marginal and incremental performance
- Demonstrated creative instincts and experience contributing to creative strategy, not just executing against it
- AI-native work habits with genuine curiosity about what is emerging in marketing technology
- Low ego, high output
- experience at a brand with AOV above $500 where longer consideration cycles and upper-funnel investment are part of the growth model
- Experience with incrementality measurement platforms (Haus, Rockerbox, Northbeam, or equivalent)
- Familiarity with CTV, programmatic, or commerce media (Amazon, AppLovin)
- Multi-brand or brand house experience
- Creator or influencer channel exposure