Senior Growth & Product Marketing Manager

About Kixie

Kixie is building the Revenue Signal Orchestration layer for modern GTM teams.

CRMs store what happened. Kixie turns signals — intent, conversations, timing — into immediate revenue actions.

Today, we power:

• Speed-to-Lead (engage instantly at peak intent)
• Speed-to-Conversation (maximize real connects)

Next: Signal-to-Action — where every conversation triggers automated revenue outcomes.

This role sits at the center of that transition.

This is a hybrid role across:

• Product marketing
• Lifecycle/retention
• Website & funnel conversion
• AI-driven growth

• Turns product into pipeline
• Turns usage into expansion
• Turns signals into conversion

This is a hands-on, execution-heavy role, not a strategy-only PMM position.

Product → Revenue (GTM & Positioning)

• Define and evolve Kixie’s narrative:
  • Speed-to-Lead → Speed-to-Conversation → Signal-to-Action
• Translate product capabilities into clear, measurable business outcomes
• Own GTM for:
  • Feature launches
  • AI capabilities
  • Packaging updates
• Build playbooks that Sales and CS actually use

Lifecycle & Expansion

• Own onboarding → activation → adoption → expansion
• Build multi-channel lifecycle systems (email, SMS, in-app, outbound assist)
• Partner with Sales and CS to drive:
  • Feature adoption
  • Expansion revenue
• Improve:
  • Activation rate
  • Time-to-value
  • Net revenue retention

Website & Funnel Conversion

• Own the website as a conversion engine
• Continuously test:
  • Messaging
  • Structure
  • Offers
  • Demo flows
• Improve:
  • Demo conversion rates
  • Trial activation
  • Inbound → outbound assist flows

AI-Native Growth & Experimentation

• Use AI to:
  • Generate and test messaging at scale
  • Analyze conversation + CRM data for insights
  • Build lightweight workflows and agents
• Run a continuous experimentation loop:
  • Hypothesis → test → learn → deploy
• Increase experiment velocity across funnel stages

Voice of Customer → Product Loop

• Own VOC system across:
  • Calls
  • CRM data
  • Customer interviews
• Translate insights into:
  • Messaging improvements
  • GTM changes
  • Product feedback
• Work directly with Product on revenue-impacting decisions

• 5–8 years in B2B SaaS across product marketing, growth, or lifecycle
• Proven impact on:
  • Activation
  • Conversion
  • Expansion (not just lead generation)
• Strong product intuition — understands how features drive behavior
• Highly data-driven — measures outcomes, not activity
• Hands-on operator — ships, tests, iterates quickly
• AI-native — actively uses AI to increase output and insight velocity

• Not a brand/content role
• Not a campaign manager
• Not a slide-driven PMM role

This is a revenue operator role embedded in marketing.

• Activation rate (trial → meaningful usage)
• Time-to-first-conversation
• Feature adoption 
• Expansion revenue / NRR
• Website conversion rates
• Experiment velocity