Chief Technology Officer

• Own the technical architecture of our data platform: warehouse, ingestion pipelines, identity resolution, and a unified data model across the business.
• Make the early infrastructure calls: ETL tooling, dbt structure, BI layer, orchestration, and data governance posture.
• Sequence the platform buildout to ship a working unified dataset within the first few months.
• Define the technical relationship between our consumer app and our data platform: what gets captured, how identity flows, what gets enriched, and what flows back to the user.
• Partner with the app engineering team (initially contractor, transitioning to FTE) on the consumer surface and event credentialing.
• Ensure event credentialing is production-grade and survives tens of thousands of users on day one.
• Hire and develop the engineering team. Model constraint before headcount: automate, simplify, and ship before you hire.
• Establish the engineering culture: code review, on‐call, observability, technical writing, and a high IC bar.
• Be the technical interviewer and bar‐raiser on every engineering hire.
• Set and enforce engineering standards company-wide, favoring shipped reference implementations over policy memos.
• Own standards on day one; the broader technology portfolio consolidates under you as systems mature.
• Surface technical constraints to the leadership team in plain language, and carry commercial constraints back into engineering planning.
• Stand up SOC 2 readiness on a timeline that supports enterprise‐grade commercial products.
• Own GDPR, consent tiering, and right‐to‐erasure capability across the platform from day one.
• Make vendor and tooling decisions that survive audit and scale.
• Work with existing technology team to architect and enact future IT infrastructure and steward technical philosophies org wide.

Requirements

• 10+ years in software engineering, with at least 3 years as the senior‐most technical leader at a startup, data‐intelligence company, fintech, or media‐intelligence business.
• Personally architected and shipped a data platform that powered a revenue product.
• Deep, current expertise in a modern data stack: BigQuery or Snowflake, dbt, Fivetran or Airbyte, an orchestrator (Airflow, Dagster), and a BI layer (Looker, Hex, Metabase).
• Track record hiring and growing senior ICs in a small, high‐trust environment; no preference for command‐and‐control management styles.
• Comfortable making product and commercial trade‐offs, not just technical ones; able to push back on commercial leadership when the engineering reality requires it.
• Bitcoin‐literate, or genuinely curious about Bitcoin as a monetary network, the Bitcoin treasury thesis, and the Lightning/x402 stack.
• Strongly preferred: AI native with experience building consumer mobile, agent‐facing APIs (MCP, x402), or research/intelligence data products at production scale.

Core Competencies

Demonstrates expertise in architecting and shipping data platforms that support revenue products, with a strong focus on modern data stack technologies and engineering leadership. Capable of establishing engineering standards, fostering a high‐performance culture, and ensuring compliance with GDPR and SOC 2 requirements.

Highest‐signal resume keywords

• Data Platform Architecture
• Modern Data Stack Expertise
• Engineering Team Development
• GDPR Compliance
• SOC 2 Readiness

ATS Optimization Keywords Hard Skills

• Software Engineering
• Data Platform Architecture
• ETL Tooling
• BigQuery
• Snowflake
• Dbt
• Fivetran
• Airbyte
• Airflow
• Looker

Soft Skills

• Leadership
• Collaboration
• Communication
• Problem‐Solving
• Adaptability

Industry Keywords

• Fintech
• Data‐Intelligence
• Media‐Intelligence
• Bitcoin
• AI Native

Tools & Technologies

• Data Governance
• BI Layer
• Event Credentialing
• Orchestration
• Technical Writing