Marketer
Marketer
About DeepSpace
Building has never been easier, but it’s still pretty hard. Even with the most advanced coding assistants, people still need to design infrastructure like backends and databases and digest documentation in order to integrate their work with existing services. DeepSpace will change how people think about building by handling infrastructure and orchestration behind the scenes so they can focus on improving their vision.
At its core are pods, modular building blocks that natively integrate with existing APIs. Users can choose from a community sourced library of pods and customize them to meet their desired specifications, or build something from the ground up using our development agent. While a single pod is powerful, some projects require many parts working together. Spaces provide the shared context that lets pods exchange information and coordinate. They’re collaborative and persistent environments, where every change is instantly shared across the whole team.
Team Background
Donald studied psychology at Princeton and computer science at Cornell Tech. He has authored a psychology book, founded startups, and led engineering teams developing scalable, real-time software platforms. He is fluent in Mandarin Chinese and conversant in five other languages besides English. With strengths in machine learning, programming, and interdisciplinary problem-solving, he brings both analytical and creative skills to complex challenges.
Marius studied Mathematics at Princeton before building a career in quantitative research at Radix Trading, NYU, and Citadel, where he designed cutting-edge trading models and deep learning frameworks. Along the way, he founded and ran an immersive entertainment company in Romania. His path combines Olympiad-level math, world-class finance, and hands-on entrepreneurship — and DeepSpace is where those threads come together.
The core team is made out of high-caliber researchers and engineers from Citadel, XTX markets, Optiver and Radix, along with alumni of Princeton, Harvard, Brown, and Oxford.
Job Description：
Work directly with our founders and core team to shape and execute DeepSpace’s marketing strategy as we transition from early product to a widely adopted platform.
• Demonstrated ability to create high-engagement and trend-aligned content, with a solid understanding of X (formerly Twitter), YouTube, LinkedIn, and communities relevant to AI and engineering.
• Strong pattern-recognition skills for identifying and adapting emerging content formats, enabling rapid iteration and trend-based campaign design that still aligns with DeepSpace’s positioning.
• Experience developing or shaping AI-native brands, with an understanding of how technical products should be communicated to both builders and broader audiences.
• Capability to produce compelling product walkthroughs, app-usage videos, and short-form demos, OR an existing network of videographers, editors, or production partners.
• Clear enthusiasm for developer tools, infrastructure, or AI products, with the ability to internalize product mechanics and translate them into narratives that resonate.
• Ideally New York–based or able to work in person with the founders and core team on a frequent basis.
Who We're Looking For：
• Experience shaping AI-native brands, especially in developer tools or early-stage startups.
• Familiar with marketing analytics, growth loops, and community engagement in technical ecosystems.
• Comfortable collaborating with technical teams and translating complex ideas into clear, compelling content.
• Able to design repeatable content systems and iterate based on measurable feedback.
• Bonus: Experience with online communities, grassroots launches, technical explainers, or founder-level collaboration.
Time & Location
- Fully remote: async-friendly
- Start date: ASAP
How to Apply：
- Apply through Handshake, or for bonus points, send a brief email introducing yourself and including your portfolio to contact@eudaimonic.inc
- Subject line format: Marketer – [Name] – [Available Start Date]