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Solutions Engineer
< REMOTE - US and Canada >
THE OPPORTUNITY
Stability AI is defining what's possible at the intersection of generative AI and human creativity. Our models — across image, video, audio, and language — are among the most widely deployed AI systems in the world, used by individual creators and Fortune 500 enterprises alike. As we scale our enterprise go-to-market, we're building the solution consulting function from the ground up.
As a Principal Solution Consultant, you sit at the center of our most consequential customer relationships. You'll translate the raw capabilities of our models and inference pipelines into transformational business outcomes — leading discovery, architecting solutions, and building executive-level conviction. This is a founding role with real influence over how the function is built and how Stability AI shows up in the market.
This is not a role for feature demonstrators. 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 — and to make them real, quickly.
WHAT YOU'LL DO
- Own the pre-sales technical narrative for strategic enterprise accounts, from initial discovery through proof-of-concept, technical validation, and deal close
- Lead consultative engagements with prospective customers — uncovering creative, operational, and infrastructure challenges where generative AI creates the highest leverage
- Rapidly prototype and deliver functional demonstrations of Stability AI's model portfolio (Stable Diffusion, Stable Video Diffusion, Stable Audio, Stable LM, and our API/platform offerings) using modern tooling, containerization, and generative AI development environments — tailored to audiences from creative directors to C-suite executives
- Design and articulate integration architectures that connect Stability AI capabilities to customers' existing enterprise stacks — including martech platforms, content management and production systems, cloud infrastructure, and data layers
- Partner closely with applied research and ML engineering teams to design highly performant AI-driven creative and marketing workflows for enterprise customers, translating technical capabilities into scalable, production-ready solutions
- Program-manage cross-functional pre-sales efforts on complex, multi-stakeholder deals — aligning product, research, and partnerships around a unified value narrative
- Stay current on the generative AI landscape, competitive developments, and emerging enterprise use cases across media & entertainment, advertising, gaming, fashion, and enterprise content production
- Build the practice: develop reusable demo assets, industry-specific playbooks, and solution frameworks that raise the ceiling for the entire go-to-market team
- Advise sales leadership and account executives on deal strategy, solution positioning, and differentiation
WHAT YOU NEED TO SUCCEED
- 7+ years in technical pre-sales, solution consulting, or enterprise architecture roles, with a demonstrated track record on complex, multi-stakeholder deals
- 3+ years supporting AI & ML products and services
- Ability to rapidly build functional demonstrations and proofs-of-concept using modern tooling — including AI-assisted development environments (Lovable, v0, Cursor), containerization (Docker/Kubernetes), and generative AI APIs — without requiring a full engineering team to do it
- Hands-on experience with extensibility frameworks, APIs, and SDKs to design and demonstrate deep integrations between platforms — and the ability to clearly articulate those patterns to both technical and business audiences
- Demonstrated experience partnering with applied research and ML engineering teams to design and deliver AI-driven creative and marketing workflows at enterprise scale
- Broad fluency across the martech stack — including analytics, campaign management, audience management, content management, and content production platforms — and how they connect into end-to-end enterprise content supply chains
- Experience designing solutions across major cloud platforms (AWS, Azure, GCP) and working knowledge of data layer technologies, including relational, document, graph, and distributed data stores
- A track record driving large-scale digital transformation programs, with the ability to frame generative AI not as a feature but as a strategic platform shift
- Exceptional ability to bridge technical depth with executive business storytelling — equally fluent in a systems design conversation with engineers and a strategy dis
