Nearshore staff augmentation with AI and ML engineering focus
Stateside sources and manages nearshore technical teams, but their tech stack reveals a secondary business: AI/ML infrastructure. They're running Python, TensorFlow, PyTorch, and inference servers (Triton, ONNX), paired with vector databases (Pinecone, Weaviate) and LLM integrations (OpenAI, Claude, Mistral). This suggests either significant AI delivery to end clients or internal capability-building for managed teams. Current hiring skews toward AI and operations roles, with leadership gaps in marketing and ops — priorities misaligned with their stated staff-augmentation focus.
Notable leadership hires: Head of Marketing, Head of Operations
Stateside, founded in 2013 and based in Culver City, California, operates a nearshore staff augmentation business, hiring and managing technical talent across front-end, mobile, and server-side disciplines for mid-market clients. The company spans 51–200 employees and maintains hiring presence in the United States and Costa Rica. Active projects center on process automation, marketing expansion, and systems scaling. Leadership bandwidth is stretched across finance, cash-flow forecasting, billing operations, and marketing growth — typical pain points for a staffing firm managing margin pressure and operational efficiency.
Python, Java, Go, C++, TensorFlow, PyTorch, Hugging Face, OpenCV, Ray, plus LLM integrations (OpenAI, Claude, Mistral), vector databases (Pinecone, Weaviate), and Salesforce across Sales/Service/Marketing Cloud.
Culver City, California. The company also hires in Costa Rica as part of its nearshore operations model.
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