Stability AI
AI Frontier · Image generation
- HQ
- London, GB
- Founded
- 2019
- Website
- stability.ai
Stability AI currently has 5 active AI-related job listings. The majority of these roles, 40%, are in post-training. Other areas include application, serving infrastructure, and data, each representing 20% of the openings. The primary functions being hired for are Engineering, with 3 roles, and Research, with 2 roles. Frequent technology tags associated with these positions include model serving, inference infrastructure, multimodal, vision, and fine-tuning, suggesting a focus on deploying and refining AI models.
Currently tracking 5 active AI roles, down 20% versus the prior 4 weeks. Primary focus: Post-train · Engineering. Salary range $155k–$260k (avg $215k).
AI Frontier · Image generation
Stability AI currently has 3 active AI-related roles in our index. The most common open titles are: Generative AI Inference Engineer, Multimodal Generative AI Researcher, Research Scientist – Controlled 3D Generation. Most positions are in Research and Engineering.
Stability AI's active AI hiring is concentrated in: post-training (67%), serving infrastructure (33%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Job postings at Stability AI most frequently reference: multimodal, vision, model serving, inference infra, fine tuning.
In the past 30 days, Stability AI has posted 0 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Global Director of Partnerships This role is for a Global Director of Partnerships at Stability AI, focusing on building and managing technology alliances and strategic partnerships. The position requires a blend of commercial acumen, understanding of AI/ML technologies, and experience in growing revenue through indirect channels. Responsibilities include defining global partner strategy, identifying and managing partners, leading negotiations, designing joint go-to-market plans, overseeing partner enablement, tracking performance, and collaborating with internal teams. The ideal candidate has 10+ years in Business Development or Partner Management, with at least 5 years in a global leadership role at an AI/SaaS/Cloud company, and a strong understanding of AI/ML and cloud computing. | — | 5 |