System Architect Lifecycle Marketing

The role

This is a hands-on architecture role inside the marketing org, focused on building the automated engine behind onboarding, nurture, upsell, and account-based programs. The person owns both the underlying data model and segmentation logic and the live journeys that run on them. They work alongside product marketing, growth, and data teams, and can direct light engineering work directly.

What you would do

• Build a templated lifecycle framework where adding a vertical, segment, or language requires only parameter changes
• Create and launch onboarding, nurture, and upsell journeys for creator, enterprise, and developer audiences
• Write and ship custom integrations and automation logic, arranging engineering assistance as needed
• Define channel-level goals for lifecycle touchpoints and track results against them
• Construct multilingual nurture sequences that hold quality and performance at global scale
• Plan and run A/B experiments and monitor conversion across every funnel stage
• Establish the lifecycle reporting structure, set success measures, and present findings
• Set up account-level ABM infrastructure for targeted nurture and retention efforts
• Enforce data hygiene, segmentation accuracy, and testing standards across lifecycle work

What they asked for

• Four or more years in B2B lifecycle, demand generation, or marketing automation, preferably at a fast-scaling software company
• Advanced hands-on skill with HubSpot workflows, lead scoring logic, and automated nurture setup
• Practical familiarity with Salesforce and how marketing and sales records link together
• Track record managing lead scoring and the MQL, SQL, and PQL stages
• Prior involvement in running or supporting account-based marketing for named accounts
• Solid analytical ability to own funnel performance and turn metrics into decisions
• Strong cross-team communication, particularly with sales and revenue operations

Nice to have

• Hands-on work building AI-driven marketing workflows for personalization, content, or campaign automation
• Experience reaching developer or technical decision-makers
• Understanding of product-led growth and converting PQLs into enterprise deals
• Basic SQL or data querying ability