About the Role
About the RoleAs VP of Engineering, you will be responsible for building, scaling, and operating a high-performing software engineering organization capable of reliably delivering Neural Concept’s ambitious product and technology roadmap.You will turn product vision into software reality, while ensuring our teams and culture scale sustainably — in quality, velocity, and people development.What you will doOwn engineering execution and deliveryEnsure predictable, high-quality delivery across product and platform initiativesTranslate product and technical strategy into realistic plans, milestones, and commitmentsIdentify risks early and manage trade-offs transparentlyStructure the engineering organizationEvolve team structures, ownership boundaries, and collaboration models as we scaleBuild and coach engineering managers and tech leadsContinuously adapt the organization to match company growthBuild strong and modern engineering processesEstablish lightweight, effective development processes that scale without bureaucracyLeverage the best of AI technologies to amplify our impact while maintaining small, agile teamsDefine and track the right engineering metricsGuarantee technical quality, reliability, and security in practicePartner with the CTO to uphold architectural principles and long-term technical healthDrive pragmatic approaches to technical debt, qulity testing, and operational excellenceCollaborate with GTM and deployment teams to guarantee smooth, secure deployments across diverse customer scaling scenariosCollaborate closely with leadership and customersWork together with Product, Research, Deployment, and LeadershipRepresent engineering in cross-functional and customer-facing discussionsAct as a key partner to the CTO, providing clear signals on execution, risk, and org healthWho you areYou are a senior engineering leader who combines strong technical judgment with operational excellence and a deep understanding of how organizations scale. You are product-minded, pragmatic, think in systems and understand how outcomes derive from how people work together.Proven experience leading software engineering organizations at scaleExperience scaling teams, at least x2 and 50+ engineersExperience managing managers and tech leadsA track record of managing delivery in fast-growing, low-process environmentsStrong technical credibilityBroad understanding of modern software architecture, infrastructure, and securityDeep understanding about modern AI technology for software engineeringAbility to engage deeply with engineers on design, trade-offs, and reliabilityComfort operating in AI- and data-intensive product environmentsProduct mindset and pragmatismAbility to balance speed, quality, and long-term sustainabilityUser-first and product mindedCalm decision-making under pressureOutcomes-focused, and not perfectionistA people-first leadership mindset