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.
The Role
This is a hybrid role across:
- Product marketing
- Lifecycle/retention
- Website & funnel conversion
- AI-driven growth
You will own how Kixie:
- 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.
What you will own
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
What We’re Looking For
- 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
What This Role Is Not
- Not a brand/content role
- Not a campaign manager
- Not a slide-driven PMM role
This is a revenue operator role embedded in marketing.
Success Metrics
- Activation rate (trial → meaningful usage)
- Time-to-first-conversation
- Feature adoption
- Expansion revenue / NRR
- Website conversion rates
- Experiment velocity
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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