Senior Growth & Product Marketing Manager

Kixie•Santa Monica, CA

1d•Hybrid

About The Position

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.

Requirements

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

Responsibilities

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