For two decades, RealSelf has been the trusted authority in the aesthetics space. Now, we're evolving into a dynamic digital ecosystem that puts consumers at the center of their aesthetic journey. As the only destination combining verified patient experiences, board-certified doctor insights, and cutting-edge technology, RealSelf empowers millions to make confident, informed decisions.
Role Overview
Our NYC-based engineering team is seeking a Senior Software Engineer to rebuild and modernize RealSelf’s advertising infrastructure.
You will work across the stack, designing and building backend services, testing into optimized frontend experiences, and ensuring our ad systems are reliable and scalable.
This is a hands-on engineering role where you will collaborate with sales managers, designers, and other engineers. You’ll directly shape how millions of users engage with RealSelf while contributing to the foundation of our next-generation technology platform.
About RealSelfFor two decades, RealSelf has been the trusted authority in the aesthetics space. Now, we're evolving into a dynamic digital ecosystem that puts consumers at the center of their aesthetic journey. As the only destination combining verified patient experiences, board-certified doctor insights, and cutting-edge technology, RealSelf empowers millions to make confident, informed decisions.Role OverviewOur NYC-based engineering team is seeking a Senior Software Engineer to rebuild and modernize RealSelf’s advertising infrastructure. You will work across the stack, designing and building backend services, testing into optimized frontend experiences, and ensuring our ad systems are reliable and scalable.This is a hands-on engineering role where you will collaborate with sales managers, designers, and other engineers. You’ll directly shape how millions of users engage with RealSelf while contributing to the foundation of our next-generation technology platform.
Key Responsibilities:
Design and lead the architecture for RealSelf’s AdTech infrastructure, including sponsored listings, native ads, GAM integrations, eventing, and performance tracking and optimization pipelines.
Build and scale backend services using Kevel, Node.js, TypeScript, and SQL that manage ad delivery, budget pacing, and impression tracking.
Refine data ingestion and attribution systems that connect first-party engagement data with off-platform signals to improve targeting and measurement.
Collaborate across engineering and analytics to design APIs, data contracts, and machine learning data feeds used for ad optimization.
Mentor and guide engineers, setting standards for code quality, observability, reliability, and system performance.
Partner with product, sales, and leadership to define the roadmap for RealSelf’s ad and sponsorship systems, ensuring technical scalability and compliance with privacy laws (GDPR, CCPA, etc.).
Lead key modernization initiatives, such as launching self-service provider onboarding and migrating legacy systems into event-driven, privacy-aware data pipelines.
Own reliability and uptime metrics for all monetization-related backend services.
Requirements:
5+ years of backend or infrastructure engineering experience, with at least 1+ years in AdTech, Ads Measurement, or Revenue-focused systems.
Deep understanding of ad delivery, targeting, and attribution systems (e.g., GAM, Facebook Ads, or custom-built ad servers).
Proven experience designing high-throughput, low-latency distributed systems in Node.js, TypeScript, or Go.
Strong foundation in data modeling, event-driven architecture, and analytics pipelines.
Familiarity with Ads privacy frameworks (GDPR, CCPA, ATT) and privacy-preserving measurement techniques.
Experience with cloud infrastructure (AWS preferred), infrastructure-as-code tools (CloudFormation, CDK, or similar), containerization (Docker, Kubernetes), and CI/CD best practices.Proficiency in leveraging AI tools to accelerate code delivery and improve quality.
Excellent communication and collaboration skills, with experience working cross-functionally with data, ML, and product teams.
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
Bonus Qualities:
Experience integrating or extending Google Ad Manager (GAM) or similar ad-serving platforms.
Knowledge of Ads attribution and measurement models (conversion lift, brand lift, multi-touch attribution).
Hands-on experience with data warehouse and analytics tools (Snowflake, BigQuery, dbt, Airflow).
Familiarity with ML-driven optimization pipelines (e.g., bid optimization or personalization models).
Previous work in consumer marketplaces or healthcare tech.
$140,000 - $190,000 a year
*Compensation will be evaluated based on experience.
RealSelf is an Equal Opportunity Employer.RealSelf is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status.
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