Release Manager, Engineering

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI We are seeking an AI-First Release Manager to rethink how engineering delivers software at scale. This is not a traditional, spreadsheet-heavy coordination role. You will sit at the intersection of release engineering and technical program management, operating as both a builder and a strategist. You will not simply manage the release lifecycle; you will automate it. We want someone who leverages modern AI developer tools to rapidly prototype, code, and deploy custom tooling that eliminates manual overhead. If you are passionate about using generative AI to solve complex coordination bottlenecks, automate risk assessment, and drive engineering velocity, this role is your sandbox. Responsibilities: Release Management Automation AI-Driven Release Lifecycles: Manage the end-to-end release strategy and own the full release cycle for the C3 AI Platform and Applications. Replace manual go/no-go meetings with data-driven, AI-supported deployment pipelines, automated release readiness assessments, and streamlined executive communications. Build Your Own Tooling: Act as a force multiplier. Use AI coding assistants and low-code/no-code platforms to rapidly build scripts, bots, and custom automations that streamline branching, build coordination, and dependency tracking. Maintain comprehensive program dashboards, status reports, and executive-level summaries that provide clear visibility into release health and delivery. Intelligent Quality Gates: Define and enforce release criteria through dynamic, automated quality gates that ensure reliability, security, and performance, rather than static checklists. Predictive Incident Management: Manage hotfixes and patch releases using AI-driven root cause analysis and automated triage, mobilizing teams quickly with full context. Automated Stakeholder Communication: Engineer workflows that automatically synthesize release notes, update status dashboards, and generate clear go-live communications for internal and external stakeholders. Technical Program Management AI-Native Execution Strategic Program Leadership: Lead comprehensive program management for critical engineering projects, driving alignment on scope, schedule, and success metrics across product, engineering, and infrastructure teams. Facilitate release readiness reviews, program increment planning, and retrospectives, translating outcomes into clear, time-bound commitments. Predictive Execution Tracking: Replace manual status gathering with automated dashboards and LLM-generated progress summaries. Leverage data to predict bottlenecks, surface dependencies, and mitigate risks before they impact the release train. Conduct structured post-mortem analyses following major releases or incidents, identifying systemic issues and driving actionable follow-through. Builder of Bridges (and Bots): Foster cross-functional alignment not only through meetings, but by deploying self-serve internal tooling, automated workflows, and ChatOps integrations that keep distributed teams synchronized effortlessly. Qualifications: Bachelor’s or graduate degree in Computer Science, Engineering, or a related technical field. 7+ years of combined experience in release management and technical program management within a software or enterprise AI environment. Deep familiarity with modern software release processes, including CI/CD pipelines, GitOps workflows, branching strategies, and deployment automation. Proven track record of ... (truncated, view full listing at source)