Senior Lifecycle Automation Manager

Salesforce•San Francisco, CA

22h

About The Position

Salesforce is seeking a Senior Lifecycle Automation Manager to join the Slack Growth Marketing team. This role is a unique builder's mandate at global scale, focused on pioneering an advanced, AI-driven, multi-channel lifecycle engine. The ideal candidate will be inherently curious, highly technical, and ready to leverage AI, predictive scoring, and Agentforce to architect autonomous growth loops. This position empowers the individual to act as a strategic owner, independently diving into product telemetry, discovering expansion opportunities, and directly driving business impact for Slack's Self-Serve motion. The role is ideal for someone who enjoys pioneering behavior-based triggers and using complex data architecture to scale user journeys.

Requirements

5-7 years of lifecycle automation, growth engineering, or highly technical marketing operations in a B2B SaaS/PLG environment.
Must be highly technical, naturally curious, and comfortable operating at the intersection of marketing, data science, and AI.
Proven track record of leveraging AI tools and Salesforce Marketing Cloud (SFMC) to automate marketing processes, segment complex audiences, and generate predictive insights.
Demonstrated ability to independently source and drive material business results (ACV/Revenue/MAU) without relying on prescriptive, top-down execution briefs.
Deep understanding of product-led growth principles and experience in leveraging product signals to drive customer acquisition, activation, and seat expansion.
Demonstrated experience planning and executing automated programs across Email, Mobile Push, and In-App messaging.
Advanced analytical skills including complex A/B testing, cohort analysis, conversion rate optimization, and familiarity with unified event architecture.
Effective communication with peers and senior leaders, capable of translating complex technical concepts into clear business outcomes.
BA/BS degree

Nice To Haves

Familiarity with predictive scoring models (e.g., MadKudu) and identity resolution frameworks.
Advanced SQL or similar data querying capabilities.
Experience evaluating, migrating, or integrating modern Customer Engagement Platforms (e.g., Braze, Iterable).
Expertise working in high-velocity self-service growth businesses.

Responsibilities

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.
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.