Senior Marketing Operations Manager at Netlify

Job description

About the Team 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, but we value relevant operating experience over category-specific expertise. 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. Applying Not sure you meet 100% of our qualifications? Please apply anyway! When applying please include: A resume or short listing of your job history & skills (link to a LinkedIn profile would be fine). We appreciate a cover letter explaining why you would enjoy working in this role at Netlify to get to know you a bit better, though this is not required and will not impact your application. Our mission is to “build a better web” and that cannot be done without a diversity of skill sets, backgrounds and thoughts. Of everything we've ever built at Netlify, we are most proud of our team. Netlify is an Equal Opportunity Employer. We are devoted to building a team of people with diverse backgrounds and lifestyles. Driving equality empowers our team, enables us to innovate, and helps us maintain a more inclusive environment. We don’t discriminate against employees or applicants based on gender identity or expression, sexual orientation, religion, age, race, military/veteran status, citizenship, pregnancy status, or any other differences. If we can do anything to provide a better interview, i.e. accommodate a disability, then please let us know by emailing accommodations@netlify.com . About Netlify Netlify is the most popular way to build, deploy, and scale modern web applications, empowering everyone from fast moving solo developers to enterprise teams. Millions of developers and organizations rely on Netlify as their platform of choice for composing web applications that are production ready, performant, and flexible. Now, as we embrace the next era of software development, we are embedding the same fluid, intuitive experience into the Agent Experience (AX), making it just as simple for intelligent agents to understand, interact with, and act on our platform as it is for developers. Whether your user is human or machine, Netlify ensures the path from idea to URL is seamless, fast, and deeply reliable. We are a Series D company that has raised over $200M from investors such as Andreessen Horowitz, Kleiner Perkins, EQT, Bessemer, BOND, and Menlo Ventures. As a fully distributed company, we aim to create a company culture where the best idea can come from anywhere and strive to be thoughtful, compassionate, and collaborative in our work. If this sounds like something you’d like to be part of, we’re excited to connect with you! At Netlify, we are committed to a compensation philosophy that prioritizes fairness and equity, positions our employee compensation competitively in the market, recognizes and rewards performance, and takes a comprehensive approach to our rewards package. We anchor our compensation philosophy on a market-based approach, therefore salary ranges may differ depending on the labor cost in a particular location. The salary provided is in addition to robust benefits and participation in Netlify’s equity plan. Our hiring range for this role is targeted at $155,000 - $210,000 for most US-based locations. Candidates outside the US or in premium markets should consult with their Talent Acquisition partner regarding location-based ranges, as they may be higher or lower than the average US range listed. The starting pay will be determined based on multiple factors, including expertise and skills, market demands, experience, internal equity, and applicable geographic location. These compensation packages and ranges are subject to change and may be modified in the future.

Requirements

Must-haves

About the Team
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.
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.
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.
Experience working with high-volume customer or prospect datasets and designing segmentation, lifecycle, and operational approaches that remain reliable at scale.
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, but we value relevant operating experience over category-specific expertise.

Nice-to-haves

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Effort: quick

Benefits

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