Toptal is a integral network of top talent in business, design, and technology that enables companies to scale their teams, on-demand. Toptal is a global network of top talent in business, design, and technology that enables companies to scale their teams, on-demand. Toptal is the world's largest fully remote workforce. We take the best elements of virtual teams and combine them with a support structure that encourages innovation, social interaction, and fun. As Chief Technology Officer, you will drive execution for the product and engineering teams and put AI at the core of everything the company builds. You will own Toptal's full technical architecture and you will build it AI-first—utilizing best practices for agentic engineering. AI is not a workstream inside the engineering team—it's core to it. You should know how to build and fine-tune foundation models from the ground up, how to engineer best-in-class harnesses, and how to create best practices for agentic engineering that engineering teams adopt to 10x their productivity—without sacrificing quality. You will own resourcing and workforce planning as a doer: scoping the work, sizing the teams, planning headcount against it, defining the role and the bar for every seat. You will bring urgency to every part of it and measure yourself on outcomes. We are looking for someone to drive it and get into the details. This is a remote position. Resumes and communication must be submitted in English. The following information is intended to describe the general nature and level of work being performed. It is not intended to be an exhaustive list of all duties, responsibilities, or required skills.



One precondition runs through all of it: you conceive the strategy. You will form your own view of where engineering and AI should go, build the case, and bring the CEO a strategy to react to, not a request for direction. Own Toptal's AI technology strategy and the architecture beneath it: model selection and fine-tuning, harness design, orchestration, retrieval, context engineering, tool and MCP integration, guardrails, evaluation, and cost control, exposed as primitives every team composes against. Make AI quality measurable. Own the evals, the regression suites, and the review loops, so quality here is proven rather than claimed. Rebuild how the platform gets built and operated, raising output per engineer through AI-assisted development, review, testing, and operations. Engineers have to want this, not comply with it, and creating that pull is on you. Own resourcing and workforce planning: scope the roadmap into buildable work, plan headcount and sequence, write the specs, and hit time-sensitive hiring commitments. Own the bar for the team: assess talent honestly, develop people against the bar, and hold it as the organization grows. Own the architecture end-to-end, from services and data flows to interfaces and system boundaries,



and hold the standards that keep it coherent as it grows. Assess the engineering function honestly, and assess AI maturity with it: what is really in production, what is measured, what is duplicated, and what should be shut down. Show business impact from agents in production in at least two core workflows, with the evidence behind it. Bachelor's degree in Computer Science, Engineering, or a related technical field is required, and an advanced degree is strongly preferred. Agentic systems deployed at scale against real business processes, with measured outcomes on cost, cycle time, quality, or revenue, and a record of retiring what did not work. Command of the economics underneath it: model routing, hosted versus self-hosted, inference capacity, latency and cost budgets, and staying portable across providers. Further ahead on AI than the executives around you, able to teach it, and proven at moving an organization to adopt something it was not asking for. You create strategy rather than administer it, and you win arguments on evidence rather than authority, including your view on what a team should look like in the age of AI. Proven ownership of resourcing and workforce planning, and a hiring track record you can quantify. You read and write code, you can take apart a design document or an eval harness and find the flaw in it, and you command distributed systems, service architecture, data?intensive applications, and cloud infrastructure at scale. Experience leading a globally distributed, remote team at a technology or hyper?Speed, ownership, and quality.

📌 Head of Software Technology (España)
🏢 Toptal
📍 España