Engineering Manager (AI)

Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code – testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this “outer loop,” helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle. Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the software delivery lifecycle with governance and policy-driven controls embedded throughout the platform. Over the past year, Harness powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend — enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs by up to 60%, and achieve 10x DevOps efficiency. With a global team across 14 offices and 25 countries, Harness is shaping the future of AI software delivery — and we’re looking for exceptional talent to help us move even faster. Harness is led by technologist and entrepreneur Jyoti Bansal, founder of AppDynamics (acquired by Cisco for $3.7B). The company has raised ~$240M in Series E venture funding and is backed by top investors. Harness is building the industry’s leading AI-powered software delivery platform, enabling teams worldwide to build, test, and deliver software faster, safer, and more reliably. Harness brings AI and automation to the software delivery lifecycle, turning complex workflows into streamlined, scalable systems used by thousands of engineering teams globally. The platform includes industry-leading products across CI/CD, Developer Experience, Reliability, Cloud Cost Management, and AI-driven automation. With teams across 25+ countries, Harness is shaping the future of AI-powered engineering. We’re looking for exceptional leaders to help scale this next phase. Position Summary The AI team builds production-grade AI agents and the core platform that powers them, including agent orchestration, prompt and tool routing, model gateways, retrieval pipelines, evaluation frameworks, observability, security, and governance. The mission is to take AI from experimentation to real production impact, embedding intelligence directly into developer workflows and the software delivery lifecycle to transform how teams build, test, deploy, secure, and operate software. As an Engineering Manager, you will lead a small, high-impact team while remaining deeply hands-on. You will own critical systems end-to-end, contribute directly to design and implementation, run fast experimentation cycles, and convert prototypes into scalable, reliable AI products that customers use in production. You will help drive adoption by proving value through shipped systems, setting technical direction, shaping best practices, and influencing product roadmap through real usage and outcomes. We are looking for a leader who is passionate about building great products and strong teams, thrives in ambiguity, learns fast, and balances speed with engineering rigor and production readiness. Key Responsibilities Engineering Leadership Own delivery and technical execution for production-grade AI agents and platform capabilities. Lead by example through hands-on contribution, technical decision-making, and strong engineering practices. Run rapid build–measure–learn cycles, encouraging experimentation, fast feedback, and iterative improvement. Translate product ideas into ... (truncated, view full listing at source)