AI Go-to-Market Messaging Optimization Developer

Krato AI

Remote · $80k – $100k / year · Full-time · Posted 4 months ago

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About the role

SaaS companies iterate their homepage headline 3 times per year. The companies growing fastest iterate it 3 times per week, testing different value proposition angles against traffic cohorts and using the performance signal to converge on messaging that resonates with the specific audiences most likely to convert. AI-assisted messaging optimization — generating value proposition variants, predicting which will resonate with specific segments, and accelerating the test-learn cycle — is how growth teams move faster. We serve 120 SaaS growth teams with our growth intelligence platform. Messaging optimization is a mid-market feature gap: large companies have dedicated conversion rate optimization teams; small companies have a single growth hire who can't run enough experiments to learn quickly. Our platform should close that gap with AI assistance. You'll build the messaging optimization system: generating value proposition variants targeting specific customer segments, integrating with A/B testing platforms to connect message variants to conversion outcomes, and building the performance learning loop that improves variant generation based on what's worked and what hasn't across the client base.

Fully remote.

Responsibilities

Build value proposition variant generation system targeting specific customer segment profiles
Implement messaging performance prediction ranking variants by predicted conversion rate for target segments
Create A/B testing platform integration connecting message variants to conversion outcome tracking
Develop cross-client learning loop improving variant generation from aggregated performance signals
Build messaging analysis identifying which value proposition dimensions (pain, gain, social proof) perform by segment
Create messaging audit reports surfacing client messaging gaps against competitive positioning

Requirements

3+ years in growth engineering, marketing analytics, or conversion rate optimization
Strong Python skills with LLM API integration and NLP experience
Understanding of SaaS growth metrics, customer segmentation, and A/B testing methodology
Experience building systems that learn from performance feedback to improve generation
Ability to present messaging optimization insights in terms marketers and growth leads understand