Senior Digital Marketing Specialist at Flywire Boston, MA

Job Description The Opportunity We’re looking for a forward-thinking and tech-savvy Senior Digital Marketing Specialist to lead the execution and optimization of digital campaigns, web content, and performance marketing — while also identifying and integrating AI technologies to drive efficiency, personalization, and growth. Key Responsibilities Digital Campaigns & Execution Plan, launch, and manage digital marketing campaigns across paid, owned, and earned channels. Own the setup and performance of paid media campaigns (Google Ads, LinkedIn, etc.), including targeting, messaging, optimizations and reporting; evaluate and test new channels. Collaborate with vertical teams to strategize on relevant audiences, messaging, and goals. Website & SEO/GEO Management Manage website content publishing and optimization using our CMS platform and A/B testing tools (Optimizely). Conduct regular SEO/GEO audits (technical and on-page) and implement enhancements. Optimize site structure, metadata, and content for both user experience and search visibility (SEO and GEO). AI Integration & Process Innovation Research, evaluate, and implement AI tools across marketing workflows (e.g., content generation, ad optimization, segmentation, analytics). Build and maintain AI‑assisted automations to improve campaign delivery, reporting, and personalization. Collaborate with cross‑functional teams to test AI solutions in real‑world marketing processes and scale successful implementations. Data Analysis & Reporting Analyze campaign performance and web analytics to generate actionable insights. Build dashboards and regular reports using tools like Google Analytics 4, Looker Studio, and AI‑driven analytics platforms. Measure impact of AI initiatives on marketing KPIs and business outcomes. Qualifications What we are looking for 4–6 years of experience in digital marketing, marketing operations, or performance marketing. Hands‑on experience with AI or automation tools in a marketing context (e.g., ChatGPT, Claude, Jasper, Zapier). Proficiency with digital marketing tools: Google Ads, GA4, SEO platforms (Ahrefs, SEMrush), and CMS platforms. Strong understanding of SEO, paid media, analytics, and content workflows. Ability to synthesize complex data into clear, actionable strategies. Curiosity, adaptability, and a strong interest in emerging technologies. This role is based out of our Boston office 2/3 days a week, so please apply only if this location is a suitable commute. Preferred (Nice to Have): Experience with prompt engineering or training AI models for marketing purposes. Background in marketing automation platforms (e.g., HubSpot, Marketo). Additional Information What We Offer: Competitive compensation, including Restricted Stock Units. Employee Stock Purchase Plan (ESPP). Flying Start – Our immersive Global Induction Program. Work with brilliant people who keep you on your toes, learn more about their journeys by checking out #InsideFlywire on social media. Dynamic & Global Team (we have been collaborating virtually for years!). Wellbeing Programs (Mental Health, Wellness) with Global FlyMates. Be a meaningful part of our success – every FlyMate makes an impact. Competitive time off including FlyBetter Days to volunteer in a cause you believe in and Digital Disconnect Days! Great Talent & Development Programs. Flywire is an equal opportunity employer. With over 30 nationalities across 12 different offices, and diversity and inclusion at the core of our people agenda, we believe our FlyMates are our greatest asset, and we’re excited to watch our unique culture evolve with each new hire. Flywire is an equal opportunity employer. The US base salary range for this full‑time position is $70,000–$95,000 plus commission, restricted stock units and benefits. Our salary ranges are determined by role, position level, and location. The range displayed on this job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and several other factors, including job‑related skills, experience, relevant education and training.

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