CTO/Senior Architect

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

You hold opinions but update them when presented with better information

You see your role as unblocking the team, not bottlenecking it

Collaborative Mindset

You’ve worked in embedded delivery or partner roles

You don’t need to own everything to drive impact

You value getting to the right answer over being the one with the answer

Required

10+ years in data or platform architecture, with at least 3 years on systems at significant scale

Deep experience with Snowflake, Redshift, BigQuery, or a comparable enterprise data platform

Demonstrated ability to lead technical strategy in high-stakes client or executive contexts

Experience designing for privacy, compliance, or security constraints

Background in consulting delivery or embedded partner roles

Nice to Have

Clean room or federated data architecture experience

Embeddings or feature store work

Identity resolution or data monetization projects

AWS or cloud infrastructure design

DSP or SSP experience

Less Important

Familiarity with every tool on the stack (you’ll learn what you need)

Specific certifications or credentials

Individual contributor “rock star” energy — we care about collaborative problem-solving

The starting pay range for this role is $250,000 - $350,000. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 offers a competitive benefits program designed to support the health and financial well-being of our team members and their families. Benefits vary by role and eligibility and may include medical, dental, and vision coverage, a 401(k) plan, paid time off, paid holidays, commuter benefits, flexible spending accounts, life and disability insurance, and employee assistance programs.