Director, Digital Marketing
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Job Description
Director of Digital Marketing at Ethos managing performance in digital paid channels including Paid Social, Search, and Affiliates. Driving growth and innovation in a fast-growing startup environment.
Responsibilities:
- Lead the strategy, execution, and tracking of paid digital channels to drive performance in strict alignment with budget and growth goals.
- Monitor performance on a weekly and monthly basis, proactively making adjustments to optimize target KPIs.
- Collaborate with internal teams (Creative, Analytics, MarTech, and Growth Product) to streamline all aspects of your managed channels.
- Manage and optimize relationships with external client partners.
- Conduct deep-dive analyses on channel performance and implement actionable findings with speed.
- Drive innovation by designing and conducting rigorous tests, presenting results, and making strategic recommendations for new processes and tactics.
- Serve as the internal expert on digital channels, staying ahead of industry trends, competitive landscapes, emerging technologies, betas, and best practices.
Requirements:
- Demonstrated success in-house at a high-growth, direct response B2C startup (Fintech or Insurtech experience is preferred).
- Deep expertise across the digital landscape, specifically Meta/Instagram, Search, Snapchat, TikTok, YouTube, and Display.
- Ability to work autonomously, learn rapidly, and prioritize effectively in a high-velocity startup environment.
- Minimum of 8 years in direct response marketing, including 5+ years specifically managing performance marketing campaigns where user acquisition was the primary growth driver.
- Advanced MS Excel skills and the ability to leverage business intelligence tools (e.g., Tableau) to drive insights.
- You are equally excited by high-level strategy development and the "in-the-weeds" work of hands-on optimization.
- Experience working with AdTech and Data teams to prioritize platform requirements and measurement needs.
- A disciplined approach to testing, iterating, and scaling based on data-backed learnings.
Benefits:
- Health insurance
- 401(k) plan
- Paid time off
- Remote work options
- Professional development opportunities
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