Marketing Operations Manager

Marketing Operations Manager

We're looking for a Marketing Operations Manager to serve as the operational lead for the Informed Design & Industrialized Construction Marketing portfolio. This role will report directly to the Director of Marketing and sits within an incubation environment. It is responsible for building, scaling, and operationalizing marketing programs for a growing and evolving business area.

In this capacity, you'll establish the systems, processes, and insights that enable the team to test, learn, and scale effectively—while maintaining strong operational discipline, data integrity, and alignment with centralized standards. This is a hands-on role for someone who thrives in ambiguity and enjoys building from the ground up.

Success in this role means translating marketing strategy into scalable operating models, establishing reliable measurement and attribution frameworks, and driving measurable pipeline contribution in close partnership with Sales. Over time, you will help create the clarity, structure, and visibility required to move from experimentation to repeatable growth.

This is an opportunity to shape the operational backbone of a high-growth marketing portfolio within an emerging category. You'll help define how we scale intelligently, measure what matters, and build a modern, AI-enabled marketing engine from the ground up.

Responsibilities

• Serve as the primary marketing operations owner for the Industrialized Construction & Informed Design portfolio, including process design, lifecycle management, measurement frameworks, and systems alignment
• Identify and implement AI-enabled automation, segmentation, reporting, or workflow enhancements that improve speed, data quality, and decision-making while ensuring responsible AI usage and governance alignment
• Partner with central Marketing Ops, Sales, and Product Marketing to align tooling, lifecycle definitions, governance, and execution standards
• Design and maintain reliable lead capture, routing, scoring, and lifecycle management frameworks that ensure data integrity and seamless Sales handoff
• Develop and maintain reporting frameworks and dashboards that provide visibility into campaign performance, experimentation outcomes, lifecycle conversion, pipeline impact, and marketing ROI
• Establish campaign tracking, automation, UTM governance, and measurement standards to ensure consistency and performance visibility across initiatives
• Enable rapid experimentation while maintaining governance, compliance, and best practices including data privacy, brand standards, and platform integrity
• Identify operational gaps and proactively recommend scalable solutions

Minimum Qualifications

• 5–8 years of experience in marketing operations or marketing technology within a B2B environment
• Strong working knowledge of CRM-based marketing ecosystems, including hands-on experience with Salesforce and ensuring reliable lead flow, data integrity, and reporting
• Experience designing or maintaining lead capture, routing/scoring, lifecycle stages, and Sales handoff processes
• Demonstrated ability to translate marketing strategy and experimentation into scalable operational frameworks and measurable outcomes
• Strong analytical and problem-solving skills, with the ability to interpret performance signals and drive continuous improvement
• Experience collaborating closely with Sales, RevOps, and centralized operations teams in a B2B go-to-market environment
• Strong communication and documentation skills; able to enable cross-functional partners to adopt new processes and ways of working
• Comfortable operating independently in ambiguous, fast-evolving environments and influencing without direct authority

Preferred Qualifications

• Experience supporting marketing efforts tied to new products, emerging business areas, or incubation-stage initiatives
• Hands-on experience with marketing automation platforms such as Marketo and project management tools such as Airtable
• Experience applying AI within marketing operations beyond basic productivity use cases
• Familiarity with data governance, privacy standards, and responsible AI practices in a marketing context
• Experience working within matrixed or globally distributed teams
• Exposure to the AECO, construction, manufacturing, or industrial technology space