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 discussion with a CMO or CTO
• Familiarity with the competitive landscape — Midjourney, OpenAI/DALL-E, Firefly, Google DeepMind, Runway, ElevenLabs, and the broader generative AI ecosystem — sufficient to position Stability AI's open, enterprise-grade approach with confidence

NICE TO HAVE

• Direct experience with Stability AI's model ecosystem or diffusion model tooling (ComfyUI, A1111, DreamBooth, LoRA, ControlNet)
• Industry background in CPG, retail, automotive, creative & advertising agencies, regulatory industries, and enterprise brand content
• Familiarity with enterprise AI governance, compliance, and responsible AI frameworks — particularly as they apply to generative content at scale
• Experience operating in a high-growth startup environment — comfortable building practice infrastructure while simultaneously running strategic deals

Compensation

The salary range for both roles is $155,000-$185,000 USD. Individual pay within the range is based on factors like job-related skills and experience. Total compensation also includes stock options and benefits.

Equal Employment Opportunity:

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.