CTO / Senior Architect - Blend360

You’re joining a strategic initiative to help a major media and technology company build a new behavioral intelligence platform from the ground up. This is an embedded consulting role, not a traditional engagement. You’ll be shaping the technical foundation of a commercial unit that leverages large-scale behavioral data through AI and advanced data architecture.

Your role is to serve as the technical authority — making platform decisions, representing them to client stakeholders, and guiding the team through the complexity of data architecture, privacy-preserving systems, and multi-tenant infrastructure design. You’ll report to Blend’s Chief Solutions Officer while working directly within the delivery team, with regular visibility to the client’s executive leadership.

What You’ll Own

Platform Architecture & Decisions

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

Technical Leadership & Unblocking

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

Executive Presence & GTM Alignment

Participate in regular leadership touchpoints with the client’s commercial and product leadership

Translate technical capabilities into commercially relevant differentiation

Ensure the technical roadmap aligns with go-to-market milestones

Serve as a credible technical voice in early client and partner conversations

Who You Are:

Technical Depth

Enterprise data platforms (Snowflake, AWS, or equivalent)

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

Executive Presence & Communication

You’ve worked directly with CTO-level stakeholders — not through layers

You move comfortably between technical depth and business context

You articulate architectural tradeoffs clearly and in terms of business impact

You’re comfortable in high-stakes client or investor settings

Problem-Solving Orientation

You ask hard questions about scale, cost, compliance, and risk before committing to approaches