AI & Automation Manager

Superior Plus•Rochester, NY

3d•Hybrid

About The Position

Reporting to the Senior Marketing Manager, Operations & Technology, the AI & Automation Manager will lead the development and implementation of AI-powered and automation-driven solutions that improve business efficiency, streamline processes, and support organizational growth. This is a strategic, hands-on role responsible for identifying opportunities, building intelligent workflows, and delivering scalable technology solutions that drive measurable business impact across Marketing, Sales, Customer Experience, and Commercial teams.

Requirements

Bachelor's degree in Marketing, Business, Communications, Technology, or a related field.
5-8 years of experience in sales, marketing operations, automation, marketing technology, business process improvement, or a related area.
Proven experience designing and implementing complex automated workflows and AI-enabled solutions.
Strong understanding of CRM systems, customer lifecycle management, lead management, and revenue process optimization.
Experience with marketing automation platforms, workflow orchestration tools, APIs, integration technologies, and low-code/no-code solutions.
Knowledge of AI, machine learning, automation best practices, governance, and responsible AI principles.
Strong analytical, problem-solving, and stakeholder management skills.
Ability to translate technical concepts into clear business value and recommendations.
English proficiency is required to support the full North American business.
Legal Authorization to work in the US and/or Canada is required.
We will not sponsor individuals for employment visas now or in the future for this job opening.

Nice To Haves

Experience with Salesforce Agentforce would be considered an asset.

Responsibilities

Own the AI and automation strategy, roadmap, and priorities throughout the lifecycle, aligning initiatives with business objectives and commercial growth goals.
Identify high-value AI opportunities across Marketing, Sales, Customer Experience, and Commercial functions, developing business cases, implementation plans, and measurable success criteria.
Assess emerging AI technologies and recommend investments, pilots, and adoption opportunities based on business impact.
Establish governance, standards, and guardrails for responsible AI usage, including data stewardship, security, compliance, and quality assurance.
Partner with Data, IT, and business stakeholders to drive adoption, enablement, and long-term AI capability development.
Architect, build, test, deploy, and maintain automated workflows supporting campaign execution, lead management, customer journeys, reporting, and cross-functional business processes.
Translate operational pain points into practical automation solutions using marketing automation platforms, workflow orchestration tools, AI capabilities, APIs, and low-code/no-code technologies.
Design resilient workflows that account for data quality, error handling, exception routing, monitoring, and long-term maintainability.
Evaluate workflow performance and business impact, continuously identifying opportunities to optimize, refactor, or expand automation capabilities.
Maintain documentation, governance, and lifecycle management processes for all automation assets.
Apply AI and automation capabilities to improve lead management, customer engagement, lifecycle progression, and conversion performance.
Analyze customer journeys and revenue processes to identify inefficiencies and opportunities for intelligent automation.
Monitor automated funnel processes and resolve issues impacting pipeline integrity, operational effectiveness, or reporting accuracy.
Own the automation and integration layer supporting the lifecycle, including workflow orchestration, trigger logic, business rules, data movement, and transformation processes.
Partner with Data and IT teams to ensure automation solutions align with platform architecture and enterprise standards, recommending and implementing integration approaches using APIs, middleware, native connectors, and automation technologies.
Identify integration gaps, process bottlenecks, and data integrity issues affecting business performance.
Establish controls and monitoring practices that ensure reliable and accurate data flows across systems.
Translate technical capabilities into business value, influencing strategy, prioritization, and investment decisions.
Lead training, documentation, and enablement efforts that drive adoption and long-term organizational self-sufficiency.
Partner with cross-functional stakeholders to deliver automation, process improvement, and technology transformation initiatives.
Champion scalable, enterprise-minded solutions that support current operations and future business growth.
Perform other related duties as assigned.