Engineering Manager

Role: Engineering Manager Location: San Francisco – Tues/Wed/Thur In Office, Mon/Fri – Work From Home Compensation: $300,000+ base, depending on years of experience Harrison Clarke are partnered with a high-growth AI company operating at the intersection of enterprise technology and intelligent automation. This innovative organisation is building a platform that helps large enterprises understand, optimise, and transform their core business systems dramatically compressing timelines for research, design, and implementation from months down to days through AI-driven workflows. They are now searching for an experienced Engineering Manager to lead and scale high-performing teams building the platform that powers these capabilities. Role Requirements: Lead, mentor, and grow a team of backend and full-stack engineers, fostering a high-performance and collaborative engineering culture. Partner closely with product managers, ML engineers, and design teams to define technical strategy and deliver impactful product outcomes. Drive the design and development of scalable backend systems, APIs, and services supporting complex enterprise workflows and AI agent orchestration. Own delivery execution—ensuring projects are delivered on time, with high quality, and aligned to business goals. Establish and uphold best practices across system design, security, reliability, and performance at scale. Contribute to architectural decisions while remaining close enough to the code to guide technical direction when needed. Hire and retain top engineering talent, building a team capable of operating at scale in a fast-paced environment. Profile Signals: Technical background: Degree in Computer Science, Engineering, or a related field. 8+ years of software engineering experience, with at least 2+ years in an engineering leadership or management role. Strong technical foundation in backend systems, with experience in Python or Node.js, RESTful APIs, and cloud infrastructure. Proven track record of leading teams that have built and shipped scalable, production-grade systems or platform services. Experience working in enterprise or B2B environments where security, reliability, and integration complexity are critical. Demonstrated ability to balance hands-on technical leadership with people management and delivery ownership. Passion for building high-quality teams and systems that unlock meaningful productivity gains. If you're excited by the opportunity to lead teams shaping how enterprise organisations leverage AI to transform their core operations, apply below!