We're a small team of 3 quietly building a new consumer social app, well-funded by an incredible group of investors. You'll be the second engineer on our team, working closely alongside all of us. We've previously shipped award-winning apps that have been featured in the App Store. Our ambition is to raise the bar in terms of craft & design execution.

Why join Sunflower?

Working at Sunflower will be a career-defining experience. Your work will have a significant impact on our company and the way people connect through our app. We believe in crafting experiences that are not just functional but also beautiful and intuitive. If you are detail-oriented and driven by excellence in design and execution, Sunflower is the perfect place for you.

Who we're looking for

• Master Craftsperson: Use your expertise in Swift and SwiftUI to elevate our iOS app, ensuring it is robust, efficient, and scalable.

• Detail Oriented: Strive for excellence by sweating the details, refining interfaces at every opportunity, and setting the bar for quality in consumer software.

• Collaborator: Work closely with our small but dedicated team to implement consistent and high-quality solutions.

• Build Core Features: Develop and implement core functionality within the Sunflower iOS app, creating visually appealing and user-friendly interfaces.

• Optimize Performance: Ensure the app is optimized for maximum speed, scalability, and maintainability.

• Collaborate: Partner with designers and developers to translate designs into high-quality code and contribute to product strategy discussions.

What you'll need to succeed

• 4+ years of experience writing production software
• Strong skills in native Apple frameworks, particularly Swift and SwiftUI
• Example of a high-craft app you've contributed to
• Live in the United States

Nice to haves:
• Experience working on a consumer or social app, especially in other startups or small teams
• Proficiency with other full-stack application development
• Experience working with cloud-based LLMs and on-device ML frameworks