Senior Marketing Operations Manager

Netlify is a product-led growth company, and Revenue Operations owns the systems, data, and infrastructure that turn that growth into revenue. With a large volume of people discovering and signing up for Netlify every day, Marketing Operations is critical to understanding those users, connecting activity across our systems, and creating scalable ways to engage them throughout their journey.

As Senior Marketing Operations Manager, you’ll own the operational foundation behind that work. You’ll connect HubSpot, Salesforce, product data, and analytics, build the systems and lifecycle infrastructure that turn signals into action, and give Marketing and our GTM partners trusted visibility into performance. Reporting to the Senior Director of Revenue Operations, you’ll translate the Marketing Operations vision into a roadmap and independently drive it forward while partnering closely with Growth, RevOps, Data, Product, and other GTM teams.

What You’ll Do

• Execute on the Marketing Operations roadmap, translating broader Marketing and GTM priorities into scalable systems, processes, and programs.
• Own our marketing automation platform end to end, including workflows, lifecycle stages, segmentation, forms, lists, email operations, data hygiene, deliverability, governance, and documentation.
• Build and maintain the connection between marketing automation, Salesforce, product data, and analytics so we can understand and engage users throughout the customer journey.
• Establish reliable attribution and measurement across marketing and product-led journeys, including UTM governance and connections between campaigns, signups, activation, conversion, and revenue.
• Build reporting and self-service dashboards that give Marketing and GTM partners a trusted view of performance and support weekly, monthly, and executive-level decision-making.
• Partner with Growth to operationalize lifecycle programs across email, in-product experiences, and sales-assist triggers, turning customer and product signals into scalable journeys from signup through activation and conversion.
• Build experimentation infrastructure that allows marketers to launch, measure, and learn from tests without requiring engineering support for every experiment.
• Own the operational health of the MarTech stack, including integrations, data flows, governance, vendor relationships, and periodic assessments of what we should keep, retire, consolidate, or integrate.
• Establish scalable practices for high-volume email operations, including audience management, domain and inbox health, deliverability, and safeguards that protect the customer experience.
• Turn large and sometimes ambiguous datasets into actionable recommendations, identifying points of friction or drop-off and partnering with Marketing, Growth, Product, Data, and RevOps on opportunities to improve conversion.
• Own the Marketing Operations portion of the broader Marketing budget and evaluate technology investments based on business value, scalability, and ROI.
• Explore emerging capabilities in AI-enabled marketing operations and AI visibility measurement, helping the team establish useful workflows and baselines as the space develops.

What You’ll Bring

• 7+ years of experience in Marketing Operations or a closely related discipline, with experience operating independently in a complex B2B SaaS or product-led growth environment.
• Deep experience with marketing automation platforms and CRM systems such as HubSpot, Marketo, Eloqua, and Salesforce, including lifecycle stages, campaign architecture, attribution, lead or account routing, and data governance.
• Experience working with high-volume customer or prospect datasets and designing segmentation, lifecycle, and operational approaches that remain reliable at scale.
• Significant experience operating high-volume email programs, with a practical understanding of deliverability, domain and inbox reputation, audience management, warming strategies, and the risks that emerge at large sending volumes.
• Strong analytical skills and the ability to investigate complex datasets, identify meaningful patterns, question the quality of the underlying data, and turn findings into recommendations.
• Experience building or operating lifecycle, nurture, or in-product engagement programs tied to measurable activation or conversion outcomes.
• Systems thinking and experience designing integrations across marketing automation, CRM, product, analytics, and data systems.
• Experience building measurement and experimentation infrastructure that enables other teams to operate and learn independently.
• Strong GTM fluency and an understanding of how Marketing Operations, Growth, Sales, RevOps, Product, and Customer Success connect to customer experience and revenue.
• Comfort using AI-enabled tools and workflows to accelerate your work while applying judgment to validate outputs and determine where automation is (and isn’t) appropriate.
• Familiarity with product analytics tools such as Amplitude and experience with emerging AEO or AI-visibility tooling is helpful.
• Experience working with contractors, agencies, or distributed partners is helpful but not required.
• Familiarity with developer tools, web platforms, or another high-volume PLG business is useful.

This Role Is a Great Fit If

• You enjoy building the foundation, not just operating what someone else has already built. You’re energized by taking an imperfect system and creating something scalable, measurable, and trusted.
• You’re comfortable moving between architecture and execution. You can define how a system should work and then get into the details yourself when necessary to make it work.
• You thrive with significant autonomy. Given a goal and context, you investigate the problem, weigh tradeoffs, make a recommendation, and drive the work forward without needing a detailed playbook.
• You genuinely enjoy data. Large, messy datasets make you curious, and you’re willing to dig until you understand what is happening and what the business should do about it.
• You care deeply about operational quality. Data integrity, attribution, documentation, audience segmentation, and email deliverability aren’t afterthoughts—they’re part of building a trustworthy growth engine.
• You balance speed with judgment. You know when to move quickly, when a shortcut creates unacceptable downstream risk, and when to challenge an approach that won’t scale.
• You see AI as a way to amplify good judgment and increase leverage rather than a substitute for understanding the work.
• You communicate clearly in an async, distributed environment and can build alignment across Marketing, Growth, Product, Sales, RevOps, and Data without relying on organizational authority.