Responsibilities

• Build the self-serve lifecycle funnel for one of Rippling’s fastest-growing products — design the architecture, define journey stages, build and scale programs in Iterable that convert free trial users to paid, implement lifecycle hierarchy logic with MOps, and enforce entry/exit criteria
• Own and execute lifecycle campaigns end-to-end: copywriting, audience targeting, content, sales enablement, and performance tracking — from concept through analysis
• Own the upsell motion from converted customer to demo booked — the entry point to expanding users across the full Rippling platform and multi-product suite
• Analyze lifecycle performance across every touchpoint — write the Snowflake queries to prove what's working, kill what isn't, and double down on what is
• Be the connective tissue between Marketing, Sales, and MOps: triage escalations, prevent messaging collisions, and keep the lifecycle engine running cleanly

Requirements

• 6+ years of experience in lifecycle or demand marketing at high-growth B2B SaaS companies — growth marketing experience is a plus, but lifecycle depth is the foundation
• Proven experience building lifecycle programs from 0 to 1 with a track record of driving activation, retention, and customer LTV — you've designed the architecture, not just optimized what someone else built
• Proven success driving lifecycle campaigns across both PLG and SLG motions — you've moved self-serve users through product-led conversion funnels and accelerated sales-led pipeline, with results to show for both; you know where the two motions hand off and have designed programs that make that handoff clean, not chaotic
• Fluency in the Salesforce data model: campaign members, lead/contact records, MQL routing logic — you can self-serve on SFDC reports and catch data problems before they become seller complaints.
• Hands-on experience with marketing automation and email marketing software, specifically Hubspot and Iterable — building and managing multi-step nurture campaigns, not just sending blasts.
• Analytical enough to write SQL or Snowflake queries, spot a TAM opt-out spike before it becomes a crisis, and connect campaign performance to pipeline impact
• Demonstrated ability to work across Sales and Marketing: you understand both motions and design programs that bridge them
• Structured experimenter with a rigorous approach to A/B testing — hypothesis, design, significance, and iteration — with a track record of turning results into measurable impact

Preferred

• Experience with Outreach or similar sales sequencing tools is a plus

Benefits

• Competitive salary
• Benefits
• Equity