openripplinginitialized
Senior Lifecycle Marketing Manager, Cross-Sell
Rippling
LocationSan Francisco, CA, United States
WorkplaceHYBRID
EmploymentSALARIED_FT
Posted2026-05-28T10:30:59.218000-07:00
Last observed2026-06-13 05:24:08.487824
Job idinitialized-rippling:rippling:a76dc091-0b15-417a-86e9-f1c0109bc070
About Rippling Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds. Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes. We prioritize candidate safety. Please be aware that all official communication will only be sent from @ Rippling.com addresses. About the role As Rippling’s Senior Lifecycle Marketing Manager, you’ll design and execute programs that move prospects seamlessly through every stage of the journey. You’ll own the strategy and execution of lifecycle programs across email, paid, and owned channels that drive conversion, product adoption, and long-term engagement. As our Senior Cross-Sell Lifecycle Marketing Manager, you'll own the infrastructure and programs that turn existing customers into multi-product buyers. This role sits at the center of everything: marketing automation, sales orchestration, product signals, and data infrastructure. You'll work shoulder-to-shoulder with sellers, MOps, RevOps and Product. We’re looking for candidates that can move fast, prioritize ruthlessly, and leave the system better than they found it. Rippling’s marketing engine has always been a growth lever - Kleiner Perkins partner Mamoon Hamid calls Rippling “the 1% of the 1%” - and lifecycle is central to unlocking our next phase of scale. What you will do Own & execute lifecycle campaigns from concept to analysis, including copywriting, audience targeting, content creation, sales enablement, and performance tracking. Analyze lifecycle performance across touchpoints; kill what isn't working, double down on what is, and write the Snowflake queries to prove it either way Build and scale customer journeys in Iterable that move customers from awareness to demo booked to closed. Implement lifecycle hierarchy logic with MOps, enforce accurate entry/exit criteria, and expand journeys across the multi-product suite. Drive product launches through GA comms, vertical-specific messaging plays, and PLG sequences that convert engagement into pipeline. Identify and activate behavioral and firmographic triggers — funding rounds, headcount changes, product usage signals — and build campaigns that turn them into SQOs. Expand on existing engagement signals by cleaning up unused sequences, testing new signals and implementing corresponding campaigns to support e.g. customer raises new funding round. Be the connective tissue between marketing, sales, and MOps: triage escalations, prevent messaging collisions, and keep the lifecycle engine running cleanly. What you will need 6+ years of experience in lifecycle, growth, or demand marketing roles at high-growth B2B SaaS companies. Proven track record of using lifecycle marketing to improve activation, retention, and customer LTV. Fluency in Salesforce data model: campaign members, lead/contact records, MQL routing logic — you can self-serve on SFDC reports and spot data problems before they become seller complaints Experience with marketing automation/ email marketing software (Iterable) specifically building multi-step nurture campaigns. Strong project management instincts - you track your own work, hit deadlines without being chased, and know when to escalate vs. resolve independently 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 Comf
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