AI Enablement Engineer (Sales, Marketing, Revenue Operations)

CivicPlus is dedicated to innovation and collaboration to enhance local government services. The AI Enablement Engineer will design and implement AI-powered tools and workflows to improve productivity and decision-making across various business functions, while partnering with cross-functional teams to identify and capitalize on high-value AI opportunities.

Responsibilities:

• Design, build, and maintain AI-enabled tools, workflows, and internal automations that improve team efficiency and business outcomes
• Partner with cross-functional stakeholders to identify high-value AI enablement use cases across product development, operations, support, and internal business functions
• Develop integrations between AI services, internal systems, and third-party platforms using APIs, scripting, and automation frameworks
• Translate business problems into scalable technical solutions, including prompts, orchestration logic, data pipelines, and supporting applications
• Establish and follow best practices for responsible AI usage, including security, privacy, data handling, testing, monitoring, and documentation
• Evaluate emerging AI tools, models, and platforms and recommend practical solutions aligned with CivicPlus needs and architecture
• Collaborate with engineering and data teams to ensure reliable access to the data, services, and infrastructure needed to support AI-enabled solutions
• Create and maintain documentation, technical standards, and reusable patterns that support sustainable AI adoption across teams
• Troubleshoot and optimize existing AI automations and integrations to improve reliability, performance, cost-effectiveness, and user experience
• Provide technical guidance, training, and enablement support to internal teams adopting AI-powered tools and workflows
• Participate as a collaborative member of an Agile team and contribute to continuous improvement of engineering practices and delivery standards
• Improve forecast inspection and deal follow-up quality through AI-augmented workflows
• Reduce time sellers spend on follow-up, CRM hygiene, and deal-inspection prep
• Build agentic and AI-augmented workflows in the Salesforce ecosystem within governance
• Surface deal signal and risk to managers — consistently and on a cadence the team trusts
• Support RevOps on process and system enablement; coordinate with the Salesforce ecosystem team to avoid duplicate work
• Partner with Sales Enablement and SE leaders on AI-assisted enablement content and tools
• Redesign core marketing operations workflows so AI is a first-class teammate (content, landing pages, campaign ops, paid social)
• Mature existing automations such as Landing Page Automation and Ad Automation into more agentic experiences
• Build experimentation infrastructure for AI-driven marketing — what to test, how to measure, when to ship
• Maintain brand voice and content safety guardrails for AI-generated assets
• Coordinate with RevOps where workflows touch Salesforce, HubSpot, and the lead lifecycle

Requirements:

• Bachelor's degree in computer science, engineering, information systems, or a related field preferred; equivalent work experience may be considered
• 5–8 years of experience in software engineering, automation engineering, data engineering, machine learning engineering, solutions engineering, or a similar technical role
• Experience building or supporting AI-enabled workflows, automations, internal tools, or system integrations
• Proficiency in at least one scripting or programming language such as Python or JavaScript
• Experience working with APIs, integration patterns, and structured and unstructured data
• Familiarity with modern AI/ML concepts, including large language models, prompt design, evaluation, and model or service integration
• Experience with cloud platforms and developer tooling used to deploy, monitor, and maintain technical solutions
• Strong problem-solving skills and the ability to balance speed, quality, security, and maintainability
• Strong written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders
• Experience documenting workflows, standards, and technical solutions for long-term maintainability
• Preferred experience with workflow automation platforms, data pipelines, governance controls, experimentation, or internal enablement and change management
• Preferred experience supporting responsible AI practices, model evaluation, or AI operations in a business environment
• Hands-on experience in the Salesforce ecosystem (Apex, Flow, MCPs, or Salesforce-adjacent automation)
• Familiarity with sales operations: forecasting cadences, pipeline hygiene, deal inspection, territory and quota mechanics