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Seattle, Washington, United States
Onsite
Not Available
About Us:
At Read AI, we build intelligent systems that transform how modern teams communicate across meetings, messaging, and email. By connecting frictionlessly with platforms like Zoom, Microsoft Teams, Google Meet, and Slack, our technology drives immediate alignment and accelerates daily workflows for global organizations.
With $82M in venture funding from partners like Smash Capital, Madrona, and Goodwater Capital, we are rapidly scaling our product-led motion. We are looking for mission-driven builders eager to shape the next phase of AI-native collaboration infrastructure.
The Role:
Read AI is looking for a Senior Lifecycle Marketing Manager to build the system that turns millions of new accounts into activated, retained, and expanding customers.
This is not an email-production role. You'll own the strategy, infrastructure, programs, experimentation, and measurement behind onboarding, activation, feature discovery, habit formation, monetization, reactivation, renewal, and expansion. Acquisition and product-led distribution are already there; the opportunity is to use behavioral context and timely communication to get users to value sooner and make Read part of how they work. You'll build programs yourself while partnering with Product, Engineering, Data, CS, Sales, and Product
Marketing.
What You’ll Do:
Foundation and infrastructure
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.
Onboarding and activation
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.
Engagement and habit formation
Build behavioral journeys that drive repeat meetings and adoption of high-value capabilities.
Base feature discovery on what a user has and hasn't experienced, not a generic product-news calendar.
Coordinate email, in-product messaging, content, and webinars, personalized by role, workflow, and maturity — and give users reasons to return between launches.
Monetization, renewal, and expansion
Connect demonstrated product value to relevant paid capabilities: free-to-paid, Pro-to-workspace, monthly-to-annual, workspace expansion.
Build interventions for early churn risk, inactivity, downgrade intent, and upcoming renewal. Partner with CS on unmanaged and lightly managed customers.
Identify power users who can become internal champions, and work with Sales and RevOps to surface product-qualified accounts — without pushing self-service customers into a human sales process they don't need.
Experimentation and measurement
Maintain a prioritized experimentation roadmap with a clear hypothesis, audience, primary outcome, guardrails, and decision rule per test.
Test across content, timing, trigger, channel, frequency, and offer.
Measure incremental behavior and revenue change, not opens and clicks. Watch rates and gross outcomes so a better conversion rate doesn't hide fewer total activated or paying customers.
Quality and customer trust
Own QA across audience selection, rendering, links, personalization, localization, tracking, and suppression.
Maintain deliverability, consent, privacy, and preference management, and coordinate across teams to prevent over-messaging.
Build feedback and survey programs that explain why users activate, disengage, convert, or churn.
What You’ll Need:
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.
Why Read AI?
Innovative: We bring AI to the masses with proactive technology that acts as the ultimate AI assistant. Built on our proprietary, patented technology, Read AI takes notes, surfaces information, facilitates collaboration, and learns you, making individuals and teams more effective. We launched Operator to capture and analyze conversations wherever they happen: On the go, spontaneously, in your office hallway, and at a coffee shop.
We’ve also introduced our new desktop apps for Windows and macOS and our Android app, joining Read AI for iPhone and web.
Massive Impact: AI's greatest impact will be on the ability to allow people to do more, taking away mundane tasks, and guiding them to the next best action.
Growth Opportunities: Read AI is the fastest growing AI-copilot and meeting notetaker in history, and is one of the leading AI companies in the world, adding more than 1MM new customers every month. The company raised Series A and B in 2024, also was recognized as a Top Startup in Seattle by LinkedIn (2025), also notably a Top Company To Watch in 2025 by Inc Magazine, and is one of the Top AI Companies in Demand by Startups, according to a16z.
Leadership: Learn more about CEO and Co-Founder David Shim in this Fortune Good Life profile and listen to him share his vision for AI Agents, Digital Twins and the Future of Work. CTO and Co-Founder Rob Williams was recently anointed as one of the most disruptive leaders in AI. For more on our technology, Co-Founder and VP Data Science Elliott Waldron goes behind-the-scenes on our patents and models in this tech brief.
Collaborative Culture: Work in a supportive and collaborative environment with a diverse and talented team.
The annual base salary for this position ranges from $130,000- $160,000 plus equity and benefits. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer low deductible health plans, as well as flexible time away and family leave programs.
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
