Product Manager, Code Generation

Mechanical Orchard is reinventing how the world’s most critical software gets modernized. We’re an applied AI company focused on one of the hardest problems in enterprise technology: rewriting complex legacy systems in a way that is provably correct, low risk, and fast enough to matter. By focusing on system behavior rather than code alone, we turn modernization from a high-stakes, failure-prone effort into a repeatable, confidence-building process that unlocks ongoing innovation. Joining Mechanical Orchard means working on problems that truly matter—to our customers, their businesses, and the people who rely on these systems every day. We’re building technology and methodology that challenge long-standing industry assumptions, prioritizing proof over promises and progress over theatrics. If you care deeply about quality, rigor, and doing the right thing—even when it’s hard—you’ll find your people here. About the role We’re seeking a Product Manager to lead our Code Generation team — a critical pillar of our modernization platform. In this role, you will own the strategy and roadmap for how AI-powered code generation accelerates large-scale legacy modernization. You will work closely with forward-deployed engineering teams and customers to deeply understand real-world modernization challenges and translate them into product capabilities that deliver measurable impact. You’ll also stay at the forefront of foundation model advancements, evaluating new capabilities across model providers and the broader coding tools ecosystem to ensure our platform consistently delivers best-in-class developer experiences. This role sits at the intersection of AI model innovation, enterprise reliability, and developer productivity, and will play a key role in shaping how AI transforms legacy workloads into modern systems. Product Managers at Mechanical Orchard are dedicated to one team and work closely with a team of software engineers, as well as cross-functionally with Sales, Marketing and our forward-deployed engineering teams. They are excited about using the latest AI tools to help us work faster and smarter, while constantly adapting to an evolving landscape of tools and best practices in the dev tools space. They balance long-term strategy with tactical delivery and apply modern product thinking to problems that have resisted innovation for decades. They identify and mitigate risk through effective stakeholder communication, cross-discipline collaboration, and by providing clarity and focus for teams. They apply an entrepreneurial and iterative mindset to the complex and highly technical problems of legacy software modernization.