Senior Affiliate Manager (Full Remote - Portugal)
$50,000–$65,000 year
RemotePortugal
PortugalRemoteFull Time$50,000–$65,000 yearSenior LevelSmall
Full TimeSenior LevelSmall
Job Summary
Manage and grow relationships with affiliates while overseeing onboarding and monitoring performance metrics to optimize campaigns for better ROI. Research and recruit new partners to expand the network, troubleshoot issues promptly, and collaborate internally to create tailored funnels that maximize conversion rates. Regularly review processes to enhance communication and identify scaling opportunities within the affiliate program.
Required Qualifications
- 5+ years of experience in affiliate marketing and management
- Proficiency in affiliate marketing platforms and network
- Strong analytical skills with the ability to interpret data and make data-driven decisions
- Advanced knowledge of digital marketing tactics and strategies on diverse channels (SEO, media buying, paid socials, etc.)
- Advanced competence with tools like Everflow, Looker Studio, SEMrush, and other reporting systems
- Excellent Excel/Google Sheets skills for data analysis and reporting
- Ability to optimize processes for performance efficiency and ROI
- Strong communication & collaborative skills (perfectly fluent in English)
- Goal-oriented, ownership and commitment
- Doer mindset - we are moving fast and need people who can balance execution, planning, and strategy
- Humble - willing to learn, open to feedback
- Adaptable - comfortable reprioritizing overnight when the landscape shifts
- #NSFW - Comfortable advertising products based on uncensored models and content
Desired Qualifications
- Experience with complex affiliate tracking systems like postback S2S setup, ad servers and so on
- Faced strong challenges (Affiliate disputes, tracking issues, fraud, volume drops, etc.)
- Previous experience scaling affiliate programs from mid-size to enterprise level
- Knowledge of funnel optimization strategies and A/B testing
- Experience with subscription-based business models
- Familiarity with fraud prevention techniques
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