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AI Go-to-Market Messaging Optimization Developer

Lucas Sato

Full-time · Job · New_York

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.

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

Benefits

  • Fully remote with flexible schedule
  • Health and dental insurance
  • $2,500 annual professional development budget
  • 401(k) with match
  • Equity options

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Categories

AI Business, Marketing & Strategy NLP & Prompt Engineering

Skills

python openai api sql pandas statistics

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Job Type

Full-time

Level

Mid-Level

Language

English

Salary Range

$80k – $100k / year

AI Expertise

AI Business, Marketing & Strategy NLP & Prompt Engineering

Skills

python openai api sql pandas statistics fastapi

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