Shaped is the fastest path to relevant recommendation and search systems. We help companies turn their behavioral data into truly relevant product and website experiences.

We're a Series A company based in Brooklyn, New York and backed by top investors from Madrona, Y-Combinator, and executives from Meta, Google, Amazon and Uber!

We’re looking for a Growth Engineer to connect Shaped with the developer community. You’ll build compelling open-source demos, create high-quality technical content, and showcase the power of Shaped’s recommendation and search platform. As one of our early employees, you’ll directly influence our growth strategy and engineering culture.

We’re excited to work with you. Come build the future of AI with us!

Qualifications

• 3+ years in software engineering, developer advocacy, or technical growth roles
• Experience building full-stack applications with Python and modern web frameworks (Next.js/React, Streamlit, Gradio, FastAPI)
• Strong communication skills for explaining technical concepts clearly
• Experience creating technical content (blogs, tutorials, docs)
• Passion for engaging with developer communities
• Interest in AI/ML APIs, recommendation systems, or search technology
• Comfortable working in a fast-paced, small-team environment
• Bonus Points:
  • Previous developer relations or advocacy experience
  • Portfolio of projects, open-source contributions, or technical writing
  • Experience speaking at meetups, conferences, or online events

Responsibilities

• Build open-source demos that showcase Shaped’s capabilities
• Create technical content that engages developers and drives adoption
• Collaborate with product and engineering teams to align community initiatives with business goals
• Engage with developer communities online and offline to gather feedback and foster relationships

About Shaped AI

Shaped AI is building the future of AI-powered search and recommendations. Our platform enables developers and businesses to integrate state-of-the-art ranking models, powered by advanced embeddings for text, images, audio, and video—without the complexity of building ML infrastructure from scratch.

We’re a small, fast-moving team backed by leading investors, working with customers who are shaping the next generation of discovery experiences. At Shaped, you’ll have the opportunity to work on cutting-edge technology, collaborate with world-class talent, and make a real impact in one of the most exciting areas of AI today.

Come join us and help build the future of intelligent discovery.

Customers typically use Shaped as follows:

1. Connect your data stack, e.g. data warehouse, database or analytics applications
2. Define your model. This includes your optimization objective (e.g. clicks vs purchases vs shares), item and user catalogs, feature types and model types.
3. Consume your results from our real-time, scalable ranking endpoints
4. Evaluate uplift and model results on our dashboard.

To power all of this, under the hood, we've built a multi-tenanted, real-time machine learning architecture which automatically sets-up and ingests data both in real-time and batch, transforms data and stores it into our proprietary feature/vector store. Ranking models are continuously optimized and fine-tuned based on real-time feedback ensuring customers are seeing the most relevant and up-to-date results possible.

From a machine-learning perspective we use state-of-the-art large scale neural encoding models to understand multi-modal data types such as image, text, audio and tabular data. We provide an exhaustive library of retrieval, ranking and ordering algorithms which are selected based on the specified model definition.

We use both AWS and GCP for cloud. Kubernetes for serverless infrastructure. Python, Javascript and Rust for languages.