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Ripple

AI Demand Generation Manager

NEW
Chicago, Illinois, United StatesFull-timeGlobal
šŸ“Š MidšŸ  Hybrid
ActivePosted within the last 30 days

Job Description

[AI-summarized by JobStash]

You will architect and implement AI-powered demand generation systems that identify unique buying signals beyond traditional intent data. You will design signal-based automation workflows, build enrichment and research systems, and create dynamic segmentation and AI-augmented lead scoring. You will partner with Marketing Operations to implement automation logic, use AI to analyze engagement and predict next-best actions, build personalized messaging frameworks, optimize paid media targeting and conversion experiences, design AI-driven retargeting and nurture handoffs, and build feedback loops so AI learns from campaign performance and attribution data. You will collaborate with Product Marketing, Content, Sales, and Revenue Operations to integrate solutions, improve CRM data quality, and demonstrate measurable improvements in lead quality, conversion, and revenue attribution.

Requirements

  • ā—3+ years of B2B demand generation experience with demonstrated focus on AI and marketing automation
  • ā—Hands-on experience with AI tools like Claude, ChatGPT, Jasper for marketing applications
  • ā—Proficiency with Clay or similar data enrichment and automation platforms or strong technical ability to learn quickly
  • ā—Experience building workflow automation logic and system architecture, partnering with ops teams for technical implementation
  • ā—Proven track record of using data to discover patterns and build automated marketing responses
  • ā—Deep understanding of B2B buyer journeys, especially in complex enterprise sales cycles (3-9 months)
  • ā—Experience with HubSpot or similar marketing automation platforms (workflows, lead scoring, segmentation)
  • ā—Experience partnering with paid advertising agencies or consultants on strategy development
  • ā—Strong analytical skills and ability to use data insights to optimize marketing programs
  • ā—Revenue-focused approach that connects marketing activities to pipeline and closed-won metrics
  • ā—Excellent collaboration skills for partnering with Marketing Operations, Content, Product Marketing, and external consultants
  • ā—Preferred: B2B SaaS, fintech, or financial technology marketing experience
  • ā—Preferred: Experience marketing to CFOs, finance executives, or technical decision-makers at enterprise organizations
  • ā—Preferred: Familiarity with APIs and webhooks and architectural knowledge of marketing system integrations

Responsibilities

  • ā—Architect AI-powered demand generation systems
  • ā—Design and implement signal-based automation workflows
  • ā—Build automated enrichment and research systems
  • ā—Create dynamic segmentation models based on real-time signals
  • ā—Develop AI-augmented lead scoring models
  • ā—Partner with Marketing Operations to implement automation logic and workflows
  • ā—Analyze engagement patterns and predict next-best actions using AI
  • ā—Build personalized messaging frameworks powered by AI
  • ā—Optimize paid media targeting and audience strategies
  • ā—Build quiz funnels and interactive conversion experiences
  • ā—Design AI-driven retargeting strategies and nurture handoffs
  • ā—Build feedback loops where AI learns from campaign performance
  • ā—Analyze multi-touch attribution across complex B2B journeys
  • ā—Collaborate with Product Marketing, Content, Sales, and Revenue Operations on integrations and attribution

Benefits & Perks

  • ā—Bonuses
  • ā—Equity
  • ā—Healthcare coverage including physical and mental healthcare
  • ā—Retirement benefits
  • ā—Family forming and family support benefits
  • ā—Employee giving match
  • ā—Mobile phone stipend
  • ā—R&R days to rest and recharge
  • ā—Wellness reimbursement and onsite and virtual wellness programming
  • ā—Generous vacation policy
  • ā—Industry-leading parental leave policies
  • ā—Family planning benefits
  • ā—Catered lunches and fully-stocked kitchens with snacks and beverages

Tech Stack

HubSpotretargetingexperimentationanalyticslead scoringClayB2Bdata analysisAPIpersonalization
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