Solutions Engineer

Stabilityai

United States
Base: $155,000-$185,000 usd; bonus/equity: stock o...
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Pre-sales technical narrative
Generative ai model portfolio
Integration architectures
** Stability AI is seeking a Solutions Engineer to lead technical pre-sales efforts and architect solutions that leverage its generative AI models. The ideal candidate will have extensive experience in solution consulting and AI/ML products, with the ability to translate technical capabilities into impactful business outcomes. **

Job Summary

  • As a Principal Solution Consultant, you sit at the center of our most consequential customer relationships, translating raw capabilities into transformational business outcomes.
  • You'll be expected to understand customers' creative, technical, and marketing ecosystems deeply enough to design solutions that didn't exist before you walked in the room.
  • Build the practice: develop reusable demo assets, industry-specific playbooks, and solution frameworks that raise the ceiling for the entire go-to-market team.

Matching Summary

Match Score: 75

** Stability AI is seeking a Solutions Engineer to lead technical pre-sales efforts and architect solutions that leverage its generative AI models. The ideal candidate will have extensive experience in solution consulting and AI/ML products, with the ability to translate technical capabilities into impactful business outcomes. **

Salary

Base: $155,000-$185,000 USD; Bonus/Equity: stock options; Benefits: benefits

Skills & Requirements

Must-have

  • pre-sales technical narrative
  • generative AI model portfolio
  • integration architectures
  • martech stack fluency
  • cloud platforms (AWS, Azure, GCP)
  • executive business storytelling

Nice-to-have

  • startup environment experience
  • AI governance and compliance
  • Stability AI model ecosystem

Key Requirements

  • 7+ years in technical pre-sales, solution consulting, or enterprise architecture
  • 3+ years supporting AI & ML products and services
  • Ability to rapidly build functional demonstrations and proofs-of-concept
  • Hands-on experience with extensibility frameworks, APIs, and SDKs
  • Demonstrated experience partnering with applied research and ML engineering teams
  • Experience designing solutions across major cloud platforms

Work Rights

Not specified

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