SuperAds is an AI-powered creative analytics platform that helps marketers decode what drives ad performance. As Superside’s first standalone SaaS product, SuperAds is scaling fast, with 25% month-over-month growth and expanding its capabilities in AI-driven creative strategy.
We’re looking for a Lead Backend Engineer to architect, build, and scale the backend systems that power SuperAds. In this role, you’ll own critical infrastructure, optimize large-scale data processing, and drive innovation in AI and SaaS. This is an opportunity to shape the product at an early stage while enjoying the backing and stability of Superside.
What You'll be doing:
- Design, build, and scale backend systems that process high-volume ad data.
- Own critical services written in Kotlin, ensuring high performance, scalability, and reliability.
- Develop and maintain high-performance APIs supporting user-facing dashboards and analytics.
- Work cross-functionally with product, AI, and frontend teams to ensure seamless feature delivery.
- Optimize backend workflows, focusing on strong generalist engineering skills with specialized ETL experience.
- Collaborate with AI teams to integrate machine learning models into production, powering insights like creative tagging and ad analysis.
- Lead infrastructure improvements using Kubernetes and cloud technologies for seamless scaling.
- Troubleshoot and optimize system performance, leveraging tools like Datadog and OpenTracing.
- Mentor backend engineers, fostering a culture of innovation and technical excellence.
- Define and drive the technical roadmap, balancing innovation, stability, and scalability.
What you'll need to suceed:
- Proven experience as a backend engineer, with a track record of building and scaling complex systems.
- Preferably experienced in Kotlin (or similar JVM languages such as Java, Scala, or Python), but strong general backend expertise and adaptability are essential.
- Ability to quickly learn new technologies and think beyond the technical setup.
- Strong understanding of infrastructure and deployment pipelines, with experience in Kubernetes and AWS preferred.
- Experience in AI-powered systems and integrating ML models into production is a plus.
- Deep knowledge of system performance optimization, distributed architecture, and database management.
- Leadership experience, with a track record of mentoring and guiding engineering teams.
- Hands-on experience with monitoring, logging, and debugging tools (e.g., Datadog, OpenTracing).
- Strong communication and collaboration skills for working across engineering and product teams.
- A product mindset—we prioritize engineers from product-driven companies or scale-ups who take ownership beyond just coding..
- A growth mindset, with a passion for solving complex problems in a fast-paced, high-growth SaaS environment.
About Superside
Superside is a revolutionary way for businesses to get good design done at scale. Trusted by 450+ ambitious companies, Superside makes design hassle-free for marketing and creative teams. By combining the top 1% of creative talent from around the world with purpose-built technology and the rigor of design ops, Superside helps ambitious brands grow faster. Since inception, Superside has been a fully remote company, with more than 700 team members working across 57 countries and 13 timezones.
Learn more at superside.com
Diversity, Equity and Inclusion
We’re an equal opportunity company. All applicants will be considered regardless of ethnicity, appearance, religion, gender identity, sexual orientation, national origin, veteran or disability status.
