Sr. Manager of Enterprise AI (GTM & G&A Focus)

OpenGov is the leader in AI and ERP solutions for local and state governments in the U.S. More than 2,000 cities, counties, state agencies, school districts, and special districts rely on the OpenGov Public Service Platform to operate efficiently, adapt to change, and strengthen the public trust. Category-leading products include enterprise asset management, procurement and contract management, accounting and budgeting, billing and revenue management, permitting and licensing, and transparency and open data. These solutions come together in the OpenGov ERP, allowing public sector organizations to focus on priorities and deliver maximum ROI with every dollar and decision in sync. Learn about OpenGov’s mission to power more effective and accountable government and the vision of high-performance government for every community at OpenGov.com.

About the Role

OpenGov is seeking a dynamic Sr. Manager of Enterprise AI to lead and scale our AI delivery engine across Go-To-Market (GTM), G&A, and internal operations. This role sits at the intersection of strategy and systems, blending technical fluency with business acumen to deliver scalable, impactful AI-powered solutions.

You will partner with GTM, G&A, and other business leaders to identify and deliver high-impact use cases, then lead implementation across platforms like Salesforce, Snowflake, Slack, Workato, ChatGPT/OpenAI and other AI platforms. This is not a product or R&D role—it’s a business execution role requiring deep system knowledge, program leadership, technical skills and a strong bias for action. You'll be both an architect and a builder, working with a cross-functional team to launch intelligent automations, agents, and copilots that measurably improve how teams operate.

Key Responsibilities

Business Execution

• Partner with GTM, G&A, and operational teams to identify and prioritize AI use cases that drive measurable business impact.

• Translate strategic objectives into scalable automation programs and intelligent workflows.

• Collaborate with Enablement and Operations teams to support adoption efforts through training, documentation, and change management.

• Align with cross-functional stakeholders to validate solution design, test key workflows, and define KPIs in partnership with business owners to measure success.

• Promote visibility and adoption of AI initiatives through stakeholder demos, performance updates, and regular communication touchpoints.

Technical Program Ownership

• Oversee the full AI solution lifecycle including planning, development, deployment, performance tracking, and continuous improvement to ensure long-term sustainability and alignment with business goals.

• Architect and lead the development of OpenGov's AI operations stack, including agent orchestration, automation frameworks, Model Context Protocol (MCP), and Enterprise Search.

• Co-own the strategic roadmap for AI systems in collaboration with Technical and Operations leadership.

• Oversee sprint planning, backlog grooming, prioritization, and execution across AI initiatives to ensure timely and high-impact delivery.

• Build scalable systems such as RAG pipelines, prompt libraries, and feedback loops to support intelligent workflows and high-reliability agents.

• Be hands-on in modern platforms and tools like Snowflake, dbt, Workato, agent orchestration tooling/platforms, OpenAI APIs, and Slack integrations.

• Manage and mentor a high-performing team including a Platform/Data Engineer, Solutions Architect, and AI Analyst/Prompt Engineer.

MCP (Model Context Protocol) Service

• Lead development and evolution of OpenGov’s internal Model Context Protocol (MCP) service—the orchestration and context-routing backbone for AI agents and orchestration.

• Define SLOs and architectural standards for scalability, security, accuracy and reliability.

• Collaborate with Enterprise Systems, Data Engineering, IT Engineering, and Security teams to evolve MCP into a robust self-service layer.

Governance, Reliability & Monitoring

• Support baseline AI governance: auditability, access controls, escalation paths, and SLAs.

• Implement systems to track AI agent adoption, reliability, performance, accuracy and platform usage.

• Partner with BI teams to surface insights on adoption and business value.

Qualifications

Required

• 7+ years in Business Systems