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.