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About Toptal:

  • Global network of top talent in business, design, and technology.
  • $200+ million annual revenue, fully remote workforce.

Position Overview:

  • Drive execution for product and engineering teams with AI at the core.
  • Own technical architecture, AI architecture, and agentic engineering best practices.

Responsibilities:

  • Own AI technology strategy, including model selection, fine-tuning, harness design, and cost control.
  • Deploy agentic engineering at scale for matching, vetting, onboarding, delivery, and operations.
  • Make AI quality measurable through evals, regression suites, and review loops.
  • Rebuild platform building and operations to raise output per engineer.
  • Decide team structure and own resourcing and workforce planning.
  • Own platform architecture, throughput, reliability, and cost structure.

Expectations:

  • In first week: Learn model and platform architecture, meet leaders, establish rhythm with CEO.
  • In first month: Assess engineering function and AI maturity, bring strategy.
  • In first three months: Execute plan, stand up shared AI architecture, put agentic workflow into production.
  • In first six months: Show business impact in at least two workflows, build leadership team.
  • In first year: Run advanced engineering org with AI leverage embedded.

Qualifications:

  • Bachelor's in CS/Engineering or related, advanced degree preferred.
  • 15+ years engineering leadership, including CTO or VP Engineering.
  • Hands-on command of modern AI engineering, foundation models, agentic architectures.
  • Experience scaling and modernizing large codebase, leading global remote team.
  • High-volume marketplace or multi-tenant platform experience a plus.
  • Outstanding communication, speed, ownership, and quality.

Toptal

Toptal is a global network of top talent in business, design, and technology, enabling companies to scale their teams on-demand. With $200+ million in annual revenue and team members around the globe, it is the world's largest fully remote workforce.

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