CTO – Senior Architect

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🔥 0 minutes ago

🗽 New York – Remote

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💵 $250k - $350k / year

⏰ Full Time

🟠 Senior

👨‍💼 Chief Technology Officer (CTO)

🦅 H1B Visa Sponsor

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Logo of Blend360

Blend360

501 - 1000 employees

🤖 Artificial Intelligence

🏢 Enterprise

💰 $100M Private Equity Round on 2022-08

Artificial Intelligence • Enterprise • Consulting

Blend360 is a professional services company specializing in AI, data analytics, and data-driven solutions. They work with Fortune 1000 and large enterprise brands to tackle significant challenges by integrating people and artificial intelligence. Blend360 focuses on several domains including business intelligence, data engineering, data science, MLOps, and data governance. Their industries of expertise encompass financial services, energy, healthcare and life sciences, retail, technology, media & telecom, and travel & hospitality. Blend360 is recognized for their AI and data solutions, having earned accolades such as "AI-Enabling Solution of the Year" and being listed among the "Top Generative AI Service Providers 2024.

📋 Description

• Define and validate the technical blueprint across cloud data warehouse, clean room infrastructure, embedding compute, and privacy controls • Own the data modeling strategy for large-scale behavioral signals across multiple data sources and device types • Design the embeddings architecture and feature store supporting advertising, commerce, and AI use cases • Guide clean room design and ensure compliance with applicable privacy frameworks • Identify and resolve critical path blockers across infrastructure, integrations, and identity resolution • Pressure-test technical proposals against real-world scale and operational complexity • Bridge between Blend’s engineering and data science teams and the client’s senior technical stakeholders • Participate in regular leadership touchpoints with the client’s commercial and product leadership • Serve as a credible technical voice in early client and partner conversations

🎯 Requirements

• 10+ years in data or platform architecture • Real-time and batch data architecture • ML/AI systems and embeddings infrastructure • Data privacy frameworks and compliance-by-design approaches • Clean rooms, DSPs, and SSPs • Background in consulting delivery or embedded partner roles

🏖️ Benefits

• medical • dental • vision coverage • 401(k) plan • paid time off • paid holidays • commuter benefits • flexible spending accounts • life and disability insurance • employee assistance programs

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