Marketing Technology Manager

About Company

Noom is the world’s leading behavior change company, disrupting the weight loss and healthcare industries. By combining the power of artificial intelligence, mobile tech, and psychology with the empathy of personal coaches, Noom helps people live healthier lives by changing their long-term habits. More than 50 million people have benefited from Noom’s behavior change courses, including its virtual diabetes prevention program, which was the first of its kind to be recognized by the CDC.

The Noom platform is already being used by leading healthcare and pharmaceutical companies to improve treatment outcomes for patients worldwide.The company is headquartered in New York City with employees living and working worldwide.

We are looking for a Marketing Technology Manager to join our team

What You’ll Be Doing

• Manage data integrations across key platforms, including tag/pixel setups, MMP integrations, and CRM systems
• Present findings and actionable recommendations to key stakeholders, ensuring data-driven decision-making across marketing teams.
• Partner with engineering on SDK implementations, ensure privacy compliance, and optimize backend systems for performance marketing campaigns
• Own and enhance marketing reporting and dashboards, focusing on digital marketing KPIs, such as conversion rate, CACs, LTV/CAC ratios.
• Collaborate with marketers and cross-functional teams to develop new metrics, insights, and reports that drive business impact
• Translate business needs into technical project requirements and ensure seamless execution
• Design and implement A/B testing frameworks to measure the impact of marketing initiatives and optimize performance.

What We’re Looking For

• Minimum of a Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or another related STEM degree field
• 6 to 8 years of experience as a marketing technology analyst
• Strong expertise using SQL to extract, clean, and transform data in large, complex, nested, databases
• Expertise working with R, Python, or other statistical software
• Proficiency with data visualization tools for data analysis, insight synthesis and presentation
• Strong ability to translate technical details into digestible summaries for a non-technical audience
• Excellent written and verbal communication skills with meticulous attention to detail