Senior Lifecycle Automation Manager

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The Slack Growth Marketing team operates one of the most successful Product-Led Growth (PLG) engines in software, fueling one of the largest and most dynamic self-serve funnels in B2B SaaS. Now, we are pushing the boundaries of what's possible by building the industry's most advanced, AI-driven, multi-channel lifecycle engine.

We are looking for a Senior Lifecycle Automation Manager to help pioneer this next frontier.

This is a unique builder's mandate at global scale. We are looking for an A-player who is inherently curious, highly technical, and ready to leverage AI, predictive scoring, and Agentforce to architect autonomous growth loops. In this role, you are empowered to act as a strategic owner—expected to independently dive into product telemetry, discover net-new expansion opportunities, and directly drive material business impact for Slack's Self-Serve motion.

If you love pioneering behavior-based triggers and leveraging complex data architecture to scale a world-class user journey, this is the role for you.

• Independent Revenue Ownership: Proactively dive into product telemetry and user data to discover, design, and execute multi-channel strategies that drive measurable Self-Serve ACV, NNAOV, and retention. You own the business outcome, not just the campaign execution.

• AI-Driven Automation & Agents: Aggressively identify and eliminate manual marketing workflows. Leverage AI tools and Agentforce to automate campaign localization, A/B test analysis, and routine reporting.

• Advanced Audience Building: Leverage Salesforce Marketing Cloud (SFMC) and native AI to build complex, dynamic audience lists and segmentation. Move the team away from static targeting to predictive, hyper-personalized cohorts.

• Multi-Channel Orchestration: Design and execute behavior-triggered journeys across a modern Customer Engagement Platform (Email, Push Notification, In-App Messaging), shifting our dependency away from manual engineering sprints to marketer-led automation.

• Predictive PLG Interventions: Partner with Data Science to pipe predictive AI scoring (e.g., MadKudu) and verified web data directly into our automation platforms to identify high-intent upgrade cohorts (PQLs) and at-risk churn segments before the user acts.

• Cross-Functional Leadership: Partner closely with Marketing Ops, Product Management, and Data Science to define the technical requirements needed to scale our lifecycle infrastructure.

• Experience: 5-7 years of lifecycle automation, growth engineering, or highly technical marketing operations in a B2B SaaS/PLG environment.

• The Technical Bar: Must be highly technical, naturally curious, and comfortable operating at the intersection of marketing, data science, and AI.

• AI & SFMC Fluency: Proven track record of leveraging AI tools and Salesforce Marketing Cloud (SFMC) to automate marketing processes, segment complex audiences, and generate predictive insights.

• Independent Execution: Demonstrated ability to independently source and drive material business results (ACV/Revenue/MAU) without relying on prescriptive, top-down execution briefs.

• PLG Expertise: Deep understanding of product-led growth principles and experience in leveraging product signals to drive customer acquisition, activation, and seat expansion.

• Multi-Channel Marketing: Demonstrated experience planning and executing automated programs across Email, Mobile Push, and In-App messaging.

• Analytical Rigor: Advanced analytical skills including complex A/B testing, cohort analysis, conversion rate optimization, and familiarity with unified event architecture.

• Communication Skills: Effective communication with peers and senior leaders, capable of translating complex technical concepts into clear business outcomes.

• Familiarity with predictive scoring models (e.g., MadKudu) and identity resolution frameworks.

• Experience evaluating, migrating, or integrating modern Customer Engagement Platforms (e.g., Braze, Iterable).

• Expertise working in high-velocity self-service growth businesses.,

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.

Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

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The typical base salary range for this position is $143,400 - $216,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $172,200 - $236,700 annually.