Responsibilities

• Implement and operationalize the lifecycle platform, including moving priority journeys off of our legacy platform.
• Define the event, profile, account, plan, and usage data needed for segmentation and personalization, and partner with Engineering and Data on instrumentation, identity resolution, and measurement.
• Establish naming conventions, suppression rules, frequency policies, approval workflows, and QA standards. Build reusable components so routine experimentation doesn't require engineering.
• Ensure and improve upon our already high level of deliverability and engagement.
• Support localization and personalization at global scale.
• Map the journey from account creation to calendar connection, first hosted meeting, first recap, repeat usage, and meaningful feature discovery — and reinforce value at the moment it becomes relevant.
• Build targeted programs for the specific drop-off points: registered but no calendar, connected but never hosted, received a recap but didn't return, used Read once and went quiet.
• Run coordinated in-product and out-of-product activation experiments with Product.
• Help users understand what Read does and what access it needs, without adding friction or educational homework that shrinks the number of users reaching value.
• Nudge users at the right time to enable discovery of features as well as upselling as the trial ends, or as new features are unlocked.

Requirements

• 6+ years in lifecycle, CRM, retention, or growth marketing, for a high-volume SaaS (tens of millions to hundreds of millions of monthly sends), PLG, consumer, or prosumer product.
• Hands-on with Sendgrid, Customer.io , Iterable, Braze, HubSpot, Klaviyo, or comparable — including implementing or substantially rebuilding infrastructure, not only operating an established program.
• Measurable improvements in activation, retention, conversion, renewal, or expansion.
• Strong grasp of behavioral segmentation, triggered messaging, experimentation, and cohort analysis, plus the quantitative instincts to tell correlation from incremental impact.
• Comfort defining events, requirements, and measurement alongside engineers and data teams.
• Excellent writing, and experience coordinating email with in-product surfaces.
• Working knowledge of deliverability, consent, localization, and campaign QA. Connecting self-serve usage to workspace or enterprise adoption is strongly preferred.

Benefits

• low deductible health plans, as well as flexible time away and family leave programs.