Chief Technology Officer

Overview

As Chief Technology Officer, you will lead the combined engineering organization through a period of ambitious growth and AI-driven transformation. You will unify two legacy platforms, define a modular, scalable architecture, and mentor a cross-functional team to operate at the frontier of AI-enabled product development. This role shapes the technical strategy, risk management, and culture needed to deliver durable competitive advantages. You’ll drive fast, high-impact delivery while aligning technology with business goals for a world-class art marketplace.

Pay / Benefits

• equity
• comprehensive healthcare & benefits
• hybrid work model (New York or London)
• parental leave
• 401k
• disability & mental health support

Responsibilities

• Lead adoption of AI-augmented development workflows across the engineering organization
• Mentor engineers, product managers, designers, and business operators in AI fluency and new ways of working
• Foster a culture of continuous experimentation and rapid shipping
• Unify two legacy platforms into a coherent modern architecture for all customer segments
• Own security and infrastructure posture amidst AI-driven risk
• Collaborate with the CPO to shape a technical strategy for AI-assisted discovery, research, and transactions
• Identify underinvestment areas (data, infrastructure, APIs) and roadmap improvements
• Guide post-merger integration, deciding what to consolidate, rebuild, or retire
• Provide data-driven input to the product roadmap and strategy for scalable discovery, pricing, and logistics

Key requirements

• Led engineering organizations through significant change (post-acquisition, rapid scaling, or retooling)
• Hands-on experience integrating AI into engineering workflows
• Strong architectural judgment to evaluate AI-generated vs. traditional solutions
• Bias toward speed with ability to clear obstacles and set a high tempo
• Ability to communicate with both technical and non-technical audiences
• Comfort discussing revenue, margins, and growth in relation to engineering investments
• Experience with security and infrastructure in AI-enabled contexts
• Familiarity with two-sided marketplace dynamics (nice to have)

• change leadership
• clear communication
• collaboration across cross-functional teams
• AI-integrated development workflows
• modern tooling and continuous delivery
• modular, adaptable architecture

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