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Head of Engineering (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Head of Engineering. in the . United States. .. As the Head of Engineering, you will lead the technical vision and execution for a high-growth AI-powered enablement platform. This role involves architecting scalable systems, driving engineering excellence, and delivering innovative AI solutions that transform how teams learn, act, and perform. You will oversee a distributed engineering organization across backend, frontend, ML, and integrations, setting technical standards and fostering a culture of craftsmanship and experimentation. Partnering closely with product and executive leadership, you will align technology strategy with business objectives, ensure high-quality delivery, and push the boundaries of applied AI. This position offers the opportunity to build and scale world-class engineering teams, mentor senior engineers, and directly influence both product innovation and operational efficiency. You will thrive in a fast-paced environment where speed, quality, and bold decision-making are celebrated, and your work will have direct impact on enterprise clients and internal stakeholders.. . Accountabilities. Lead and scale a multi-national engineering organization, including backend, frontend, machine learning, and integrations teams.. Architect and oversee development of AI-native systems, including context-aware pipelines, RAG frameworks, knowledge graphs, and real-time data orchestration.. Collaborate with Product, Data, and Executive leadership to translate business vision into a technically feasible and scalable engineering roadmap.. Establish technical standards, best practices, and a culture of excellence across architecture, code quality, CI/CD, and testing automation.. Drive innovation cycles to operationalize emerging AI technologies, ensuring reliability, explainability, and enterprise readiness.. Mentor and attract top-tier engineering talent, fostering professional growth, collaboration, and technical mastery.. Ensure predictability, performance, and stability across all systems while balancing velocity and innovation.. . 8+ years of engineering leadership experience, with at least 3 years at VP/Senior Director level, preferably in high-growth SaaS or AI-native companies.. Proven track record of building and scaling engineering teams, processes, and distributed systems.. Deep technical expertise in AI systems, including ML pipelines, embeddings, retrieval-augmented generation (RAG), and agentic workflows.. Hands-on experience with cloud infrastructure (AWS, GCP), modern application frameworks (e.g., LangChain), and data platforms (e.g., Databricks).. Strong systems thinking and architectural skills for designing scalable, resilient, and secure enterprise applications.. Experience partnering with Product and business leaders to align technical and business strategy.. Exceptional leadership, communication, and interpersonal skills, with ability to mentor senior engineers and influence cross-functional teams.. Passion for innovation, curiosity about emerging technologies, and a commitment to technical excellence and high standards.. . Company Location: United States.