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 Head of Solutions Engineering to scale a world-class services team at Shaped. Our solutions engineering team helps customers integrate and develop cutting-edge search and recommendation models using the Shaped Platform.

In this role, you’ll define best practices for collaborating with diverse customers to solve ranking challenges, while shaping our product roadmap and engineering culture.

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

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Mathematics, or related field (Master’s or PhD a plus)
• 6+ years of experience in software engineering, data science, AI, or solutions engineering
• Proficiency in SQL and Python
• Deep understanding of mathematics, statistics, and algorithms
• Strong leadership skills and ability to operate in small, high-velocity teams
• Excellent communication and problem-solving skills

Responsibilities

• Scale our Solutions Engineering team, processes, and function
• Become a subject matter expert in the Shaped ranking platform
• Guide experimentation with ranking models for customer use cases
• Analyze data to identify opportunities for model performance gains
• Explore pre-trained embedding models for various customer data types
• Foster deep, trusted relationships with customer leadership and technical teams
• Lead technical demos showcasing Shaped’s value
• Ensure proactive communication with customers on timelines and next steps

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.