< 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-$205,000 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. 

< Remote - United States >

Job Description:
Stability AI’s Engineering Operations team is looking for a Senior Site Reliability Engineer (SRE) to join our growing team and play a pivotal role in improving and shaping our cloud infrastructure. The person will closely work with engineering, IT, security, and product teams to drive innovation and reliability in an evolving environment. Candidates should have the initiative to build and improve a maturing cloud landscape.

Responsibilities:

• Developing and enforcing SRE best practices and standards across the organization.
• Architecting and managing scalable systems in AWS and other cloud environments, focusing on high availability and resilience.
• Implementing and maintaining infrastructure as code using Terraform.
• Setting up and refining monitoring, logging, and alerting systems.
• Driving incident management and root cause analysis to improve system reliability.
• Championing SRE principles and mentoring junior team members.

Qualifications:

• Collaborating with development teams to enhance CI/CD pipelines.
• Experience scaling resource intensive systems, be it storage, networking, or compute.
• Knowledge and experience with Kubernetes or other container scaling solutions
• Background in software development or automation scripting.
• Knowledge and experience with Grafana, ELK stack, or similar tools.
• Cloud security experience.

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.

We are seeking a highly experienced and strategic Global Director of Partnerships to build, lead, and manage our worldwide ecosystem of technology alliances, strategic, and channel partners to deliver on Stability’s vision.

This role requires a unique blend of deep commercial acumen, a strong understanding of AI/ML technologies, and proven success in growing revenue through in-direct channels.

What you’ll do…

• Define global partner strategy: Develop and execute a partnership strategy aligned with Stability’s product roadmap, sales targets, and market expansion goals. Own the annual channel revenue and contribution target.
• Identify, develop, and manage partnerships: Identify, develop, and manage strategic partners across various segments (e.g., Cloud, Agency, SI, Technology, Resellers) .
• Negotiation and contracting: Lead complex partnership negotiations, working closely with legal and finance teams to establish mutually beneficial agreements and partnership frameworks.
• Joint GTM: Design, implement, and manage joint GTM plans with strategic partners to drive pipeline generation and increase closed-won revenue.
• Enablement: Oversee the development of partner enablement programs, ensuring partners are technically proficient and commercially motivated to sell and deploy our solutions.
• Performance Tracking: Establish KPIs and metrics to monitor the health, productivity, and ROI of all global partnerships.
• Collaboration: Work closely with Sales, Marketing, Product, and Engineering teams to ensure partnership activities are integrated into the company's overall operational structure and product development priorities.
• Partner Advocacy: Serve as the internal voice of our partners, ensuring their needs and market insights are considered in product and business decisions.
• Team Leadership: Manage and grow a global partnerships team.

What you’ll bring…

• 10+ years of experience in Business Development or Partner Management roles
• 5+ years in a global partner leadership role within a high-growth, AI/SaaS/Cloud technology company or Services company.
• Deep understanding of the Artificial Intelligence, Machine Learning, and Cloud computing landscapes.
• Demonstrable track record of originating, negotiating, and managing partnerships that have resulted in multi-million dollar revenue growth.
• Experience building and scaling a partnerships program in a startup or rapid-scaling environment.
• Prior experience in marketing/advertising technology or solutions is a bonus.

Compensation:

The OTE for this role is $350,000 with multipliers in place after 100% of target is met. Individual pay within the range is based on factors like job-related skills and experience. Total compensation also includes commission, 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.

Generative AI Inference Engineer

About the role: 

We are seeking passionate Machine Learning Engineers to join our Inference team, focusing on the creative applications of generative AI models. The ideal candidate will have substantial experience developing and running inference for multi-modal models. A deep understanding of diffusion model architectures and familiarity with workflow tools like ComfyUI are a big plus. You will be expected to leverage and push the boundaries of state-of-the-art inference optimization techniques for multi-modal generative models. This role offers the opportunity to work alongside top researchers and engineers, utilizing cutting-edge high-performance computing resources to make a significant impact in the rapidly evolving field of generative AI.

Responsibilities:  

• Lead efforts to drive the design, development of customer-facing multi modal ML inference systems.
• Work with the Platform and Inference teams on building inference systems for the next generation of models, where you will work on areas such as optimization, model tuning and deployment.
• Partner with leading cloud providers to deliver hosted Stability AI inference solutions.
• Be a strategic thought partner for leaders across the organization on driving business impact through machine learning
• Be part of the team to bring new Stability models and pipelines into existence
• Prototype and productionize inference platform improvements and new features 

Qualifications:

• 7+ years working on productionizing machine learning systems, including inference pipeline development
• Expert level knowledge on writing and running python services at scale
• 5+ years working on python scientific stack, pyTorch and at least one high-performance inference framework (e.g. Triton and TensorRT)
• Deep understanding of Diffusion Architecture
• Experience profiling and optimizing deep neural networks on Nvidia GPUs, using profiling tools such as NVIDIA Nsight
• Experience with python-based image manipulation/encoding/decoding frameworks, such as OpenCV
• Experience deploying to cloud orchestration systems such as Kubernetes and cloud providers such as AWS, GCP, and Azure
• Experience with Docker
• Ability to rapidly prototype solutions and iterate on them with tight product deadlines
• Strong communication, collaboration, and documentation skills
• Experience with the open-source ML ecosystem (HuggingFace, W&B, etc.)

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.

Research Scientist – Controlled 3D Generation

Location: Remote

About the Role

We’re seeking a Research Scientist passionate about 3D generation, flow matching, and diffusion models. You’ll help advance the frontier of controllable 3D content creation—building models that generate consistent, editable, and physically grounded 3D assets and scenes.

What You’ll Do

• Conduct cutting-edge research on flow-matching, diffusion, and score-based methods for 3D generation and reconstruction.
• Design and implement scalable training pipelines for controllable 3D generation (meshes, Gaussians, NeRFs, voxels, implicit fields).
• Develop techniques for conditioning and control (text, sketch, pose, camera, physics) and multi-view consistency.
• Analyse model behaviour through ablations, visualisations, and quantitative metrics.
• Collaborate with cross-disciplinary research, graphics, and infrastructure teams to translate research into production-ready systems.
• Publish results at top-tier venues and work with interns.

What You Bring

• PhD (or equivalent experience) in Machine Learning, Computer Vision, or Computer Graphics.
• Published work on diffusion, flow-matching, or score-based generative models (2D or 3D).
• Strong engineering and problem-solving abilities: experience with PyTorch, JAX, or CUDA-level optimisation.
• Understanding of 3D representations (meshes, Gaussians, signed-distance fields, volumetric grids, implicit networks).
• Solid grasp of geometry processing, multi-view consistency, and differentiable rendering.
• Ability to scale experiments efficiently and communicate complex results clearly.

Bonus / Preferred

• Experience generating coherent 3D scenes with multiple interacting objects, lighting, and spatial layout.
• Familiarity with scene-level control (object placement, camera path, simulation, or text-to-scene composition).
• Knowledge of video-to-3D, image-to-scene, or 4D temporal generation.
• Background in physically-based rendering, simulation, or world-model architectures.
• Track record of impactful publications or open-source releases.

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.

Stability AI is a community and mission-driven, open artificial intelligence company that cares deeply about real-world implications and applications. Our most considerable advances grow from our diversity in working across multiple teams and disciplines. We are unafraid to go against established norms and explore creativity. We are motivated to generate breakthrough ideas and convert them into tangible solutions. Our vibrant communities consist of experts, leaders, and partners across the globe who are developing cutting-edge open AI models for Image, Language, Audio, Video, and 3D

As a Sales Development Representative (SDR) at Stability AI, you’ll help grow the company’s top-line revenue by sourcing leads with startups, SMEs, and enterprises. You’ll work closely with our Account Executives (AEs) to prospect, qualify opportunities, and run demand generation campaigns. You’ll work closely with Sales Leadership, Solutions Engineering, and Marketing to continually refine and improve our value proposition, sales strategy, and product marketing. Specifically, you will be responsible for driving commercial license and Platform API sales across multiple modalities.

What you'll do...

• Work closely with Account Executives (AEs) to develop a robust pipeline and qualified sales opportunities
• Conduct a high volume of outbound cold calls and emails to prospective customers
• Meticulously manage a pipeline of new business opportunities in CRM (Hubspot etc)
• Inform product roadmaps and features by gathering customer feedback and conveying market needs.

On Day 1 we expect you to have...

• 2-5 years of experience in fast-paced SaaS sales environments 
• Ability to adapt and go deep on generative AI, becoming an expert in our technology
• Experience with qualifying strong leads and working on outbound prospecting 
• Ability to work in dynamic environments, contributing to sales strategy
• Strong interpersonal skills with the ability to build rapport with ICs through to C-level

We kindly request that all applications are made directly by candidates, no agencies

Compensation:

The OTE for this role is around $140,000 with multipliers in place after 100% of target is met. Individual pay within the range is based on factors like job-related skills and experience. Total compensation also includes commission, 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.

Stability AI is a community and mission-driven, open artificial intelligence company that cares deeply about real-world implications and applications. Our most considerable advances grow from our diversity in working across multiple teams and disciplines. We are unafraid to go against established norms and explore creativity. We are motivated to generate breakthrough ideas and convert them into tangible solutions. Our vibrant communities consist of experts, leaders, and partners across the globe who are developing cutting-edge open AI models for Image, Language, Audio, Video, and 3D.

This is an exciting opportunity to work with some of the largest and most sophisticated organizations in the world to realize their potential with Generative AI. As an Enterprise Account Executive at Stability AI, you’ll join a fast growing sales organization and help grow the company’s top-line revenue by securing deals with large enterprises. You’ll leverage your consultative sales expertise to uncover use cases, build trust with customers, and demonstrate the value of Stability AI products and services. You’ll also work closely with Sales Leadership, Solutions Engineering, Product, and Marketing to continually refine and improve our value proposition, sales strategy, and customer offerings. We are looking for an entrepreneurial and experienced enterprise sales professional to grow our business.

What you'll do...

• Work closely with enterprise customers to deeply understand their needs and build solutions with Stability AI’s products and services.
• Proactively engage and build relationships with new enterprise customers 
• Work closely with Stability’s channel partners (e.g. AWS, GCP, Azure) to find opportunities and close deals.
• Collaborate closely with Solutions Engineering to deliver solutions to large enterprise customers
• Continually refine and improve our value proposition, sales strategy, playbooks, and customer offerings.
• Develop and maintain relationships with key decision makers and stakeholders at partner organizations including large cloud vendors, system integrators, IT consulting firms, and app developers

On Day 1 we expect you to have...

• 6+ years experience in enterprise sales roles
• 2+ years experience selling data or AI focused offerings.
• Proven experience exceeding quotas selling seven figure deals.
• Proven track record managing complex sales cycles for technical products and building tailored solutions for large enterprise customers
• Demonstrated experience engaging and selling into senior executive IT and LOB stakeholders.
• Proven strategies for acquiring and growing net new enterprise accounts in targeted verticals and/or territories.
• Highly data driven, with an entrepreneurial attitude and desire to win

We kindly request that all applications are made directly by candidates, no agencies.

Compensation

The OTE for this role is around $310,000 with multipliers in place after 100% of target is met. Individual pay within the range is based on factors like job-related skills and experience. Total compensation also includes commission, 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. 

Stability AI is a community and mission-driven, open artificial intelligence company that cares deeply about real-world implications and applications. Our most considerable advances grow from our diversity in working across multiple teams and disciplines. We are unafraid to go against established norms and explore creativity. We are motivated to generate breakthrough ideas and convert them into tangible solutions. Our vibrant communities consist of experts, leaders, and partners across the globe who are developing cutting-edge open AI models for Image, Language, Audio, Video, and 3D.

We are seeking a Director of Data Strategy & Operations to oversee the end-to-end lifecycle of data acquisition and management for our foundation models across 3D, video, image, and audio. You will be critical for identifying, sourcing, and preparing high-quality datasets while ensuring legal compliance and operational efficiency.

What you'll do...

• Data Sourcing & Strategy: Identify and acquire diverse datasets from public and commercial partners while managing complex technical and legal requirements. You will also collaborate with research teams to ensure these data sources align with specific model training and fine-tuning needs (3D, audio, image).
• Technical and Operational Management: Oversee the technical lifecycle of large-scale data, from managing ingestion, curation, and AWS S3 storage optimization to ensuring system reliability and code quality. Additionally, you will develop internal tools and standards to make massive datasets searchable, accessible, and efficiently indexed for research use.
• Legal & Compliance: You will partner with the legal team to mitigate risks, ensure global regulatory compliance, and manage strict sensitive data protection rules. Furthermore, you will serve as a key representative for the company in legal matters, including providing testimony regarding data usage and licensing.
• Vendor & Project Management: You will lead high-level data vendor management by negotiating Master Services Agreements (MSAs) and Statements of Work (SOWs) while overseeing partnerships for data annotation, evaluation, and specialized collection projects. Additionally, you will drive cross-functional alignment between technical leads and researchers to ensure the data strategy directly supports the company’s product roadmap.

What you'll bring...

• 10+ years experience in senior data leadership roles within AI/ML environments, managing a team of engineers across different timezones.
• Deep expertise in data licensing, intellectual property rights, and regulatory compliance.
• Strong technical background in managing massive datasets, AWS S3 (or equivalent) storage, and data engineering workflows.
• Proven track record of negotiating high-value contracts and managing external vendor relationships.
• Ability to collaborate with research and legal teams to balance technical needs with legal constraints.

Compensation

The salary range for this role is between $238,000 and $260,000 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.

Multimodal Generative AI Researcher

Location: Remote 

About the Role

We’re looking for a Research Scientist with deep expertise in training and fine-tuning large Vision-Language and Language Models (VLMs / LLMs) for downstream multimodal tasks. You’ll help push the next frontier of models that reason across vision, language, and 3D, bridging research breakthroughs with scalable engineering.

What You’ll Do

• Design and fine-tune large-scale VLMs / LLMs — and hybrid architectures — for tasks such as visual reasoning, retrieval, 3D understanding, and embodied interaction.
• Build robust, efficient training and evaluation pipelines (data curation, distributed training, mixed precision, scalable fine-tuning).
• Conduct in-depth analysis of model performance: ablations, bias / robustness checks, and generalisation studies.
• Collaborate across research, engineering, and 3D / graphics teams to bring models from prototype to production.
• Publish impactful research and help establish best practices for multimodal model adaptation.

What You Bring

• PhD (or equivalent experience) in Machine Learning, Computer Vision, NLP, Robotics, or Computer Graphics.
• Proven track record in fine-tuning or training large-scale VLMs / LLMs for real-world downstream tasks.
• Strong engineering mindset — you can design, debug, and scale training systems end-to-end.
• Deep understanding of multimodal alignment and representation learning (vision–language fusion, CLIP-style pre-training, retrieval-augmented generation).
• Familiarity with recent trends, including video-language and long-context VLMs, spatio-temporal grounding, agentic multimodal reasoning, and Mixture-of-Experts (MoE) fine-tuning.
• Awareness of 3D-aware multimodal models — using NeRFs, Gaussian splatting, or differentiable renderers for grounded reasoning and 3D scene understanding.
• Hands-on experience with PyTorch / DeepSpeed / Ray and distributed or mixed-precision training.
• Excellent communication skills and a collaborative mindset.

Bonus / Preferred

• Experience integrating 3D and graphics pipelines into training workflows (e.g., mesh or point-cloud encoding, differentiable rendering, 3D VLMs).
• Research or implementation experience with vision-language-action models, world-model-style architectures, or multimodal agents that perceive and act.
• Familiarity with efficient adaptation methods — LoRA, adapters, QLoRA, parameter-efficient finetuning, and distillation for edge deployment.
• Knowledge of video and 4D generation trends, latent diffusion / rectified flow methods, or multimodal retrieval and reasoning pipelines.
• Background in GPU optimisation, quantisation, or model compression for real-time inference.
• Open-source or publication track record in top-tier ML / CV / NLP venues.

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.

Distributed Systems Backend Engineer

We are looking for highly skilled Backend Engineers to rapidly deliver REST APIs and applications that leverage our models to provide delightful, multi-modal customer experiences. We are hiring at multiple career levels, including team lead positions.

Responsibilities:

• Design and implement public REST APIs and services, including data storage and ML backend services.
• Write clean and extensible Python and Typescript code with production-grade telemetry, scalability, debuggability and security best practices.
• Design and implement efficient database schemas for user preferences, subscription and billing management, content history management optimized for low latency responses.
• Work closely with product management, design, research, and engineering teams to deliver high-quality and user-friendly products
• Identify performance bottlenecks in services and apis.  Deliver optimized solutions to address them.
• Participate in on-call, incident management and root cause analysis to improve system reliability.

Qualifications

• 5+ years in designing and building REST APIs and distributed services for enterprise and consumer products in a high scale environment.
• 2+ years of experience working with production AI/ML applications.
• Demonstrated experience in building robust backend services on Kubernetes/AWS/GCP/Azure infrastructure.
• Excellent problem-solving skills and attention to detail
• Highly proficient in Python, TypeScript. 
• Experience with Node.js, Cloudflare Workers, Postgres and NoSQL databases preferable.
• Proficiency in writing comprehensive technical documentation (API documentation, design documents).
• Experience in streaming multi-modal content (audio and video) is desirable but not required.

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.

Stability AI is a community and mission-driven, open artificial intelligence company that cares deeply about real-world implications and applications. Our most considerable advances grow from our diversity in working across multiple teams and disciplines. We are unafraid to go against established norms and explore creativity. We are motivated to generate breakthrough ideas and convert them into tangible solutions. Our vibrant communities consist of experts, leaders, and partners across the globe who are developing cutting-edge open AI models for Image, Language, Audio, Video, and 3D.

We’re seeking a dynamic and experienced Global Director of Sales to lead a team and expand Stability’s sales efforts globally. You’ll be accountable for our sales revenue goal, and be responsible for developing and executing the sales strategy in the Americas, EMEA, and APAC to achieve that goal. You’ll lead a team of account executives and sales development reps working closely with marketing, product, and customer success teams to identify and capture new business opportunities, cultivate existing relationships, and build a pipeline of key customers in these regions.

What you’ll do…

• Lead and manage a cross-functional team providing mentorship, coaching, professional development and performance evaluations.
• Drive high-performance by setting clear goals, metrics, and ensuring consistent achievement of sales and growth targets.
• Develop and implement the sales strategy for Stability’s products, aligning with overall company goals and growth targets.
• Identify key market trends, emerging opportunities, and challenges within the generative media space to position the company’s products effectively.
• Establish strong relationships with key decision-makers in target organizations and partners, including C-suite executives and other senior leaders.
• Support the team in landing new accounts and expanding existing contracts into  enterprise-wide agreements, ensuring long-term relationships and customer satisfaction.
• Build and manage a robust sales pipeline, utilizing CRM tools and data analytics to track progress, measure success, and forecast future revenue.
• Collaborate with the marketing team to create targeted campaigns, messaging, and sales enablement materials.
• Work closely with product teams to ensure that Stability’s solutions are meeting customer needs and feedback is communicated effectively.
• Coordinate with customer success to ensure smooth onboarding and post-sale satisfaction, resulting in high retention rates and customer loyalty.

On Day 1 we’ll expect you to have…

• 10+ years of experience in B2B software sales, with at least 5 years in a leadership role.
• Experience recruiting and leading a top-tier sales team in a startup environment.
• Deep understanding of AI technologies and their applications in business.
• Demonstrated experience managing and mentoring sales teams to consistently achieve and exceed sales quotas including setting the overall strategy and field/territory assignments.
• Experience with CRM systems (e.g. HubSpot, etc.) and sales performance analytics tools.
• Experience selling into Media & Entertainment, Retail, or Advertising companies preferred but not required- ideally across customer segments (Enterprise, Mid-Market/SMB, Startup)
• Excellent communication, negotiation, and presentation skills.
• Highly data driven, entrepreneurial, and a desire to win

Compensation

The OTE for this role is around $400,000 with multipliers in place after 100% of target is met. Individual pay within the range is based on factors like job-related skills and experience. Total compensation also includes commission, 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.

Stability AI is a community and mission-driven, open artificial intelligence company that cares deeply about real-world implications and applications. Our most considerable advances grow from our diversity in working across multiple teams and disciplines. We are unafraid to go against established norms and explore creativity. We are motivated to generate breakthrough ideas and convert them into tangible solutions. Our vibrant communities consist of experts, leaders, and partners across the globe who are developing cutting-edge open AI models for Image, Language, Audio, Video, and 3D.

This is an exciting opportunity to work with some of the largest and most sophisticated organizations in the world to realize their potential with Generative AI. As an Enterprise Account Executive, APAC at Stability AI, you’ll join a fast growing sales organization and help grow the company’s top-line revenue by securing deals with large enterprises and growing a brand new market. You’ll leverage your consultative sales expertise to uncover use cases, build trust with customers, and demonstrate the value of Stability AI products and services. You’ll also work closely with Sales Leadership, Solutions Engineering, Product, and Marketing to continually refine and improve our value proposition, sales strategy, and customer offerings. We are looking for an entrepreneurial and experienced enterprise sales professional to grow our business.

Responsibilities:

• Work closely with enterprise customers to deeply understand their needs and build solutions with Stability AI’s products and services.
• Proactively engage and build relationships with new enterprise customers 
• Work closely with Stability’s channel partners (e.g. AWS, GCP, Azure) to find opportunities and close deals.
• Collaborate closely with Solutions Engineering to deliver solutions to large enterprise customers
• Continually refine and improve our value proposition, sales strategy, playbooks, and customer offerings.
• Develop and maintain relationships with key decision makers and stakeholders at partner organizations including large cloud vendors, system integrators, IT consulting firms, and app developers

Qualifications:

• 6+ years experience in enterprise sales roles
• 2+ years experience selling data or AI focused offerings.
• Experience growing and selling into the APAC market.
• Proven experience exceeding quotas selling seven figure deals.
• Proven track record managing complex sales cycles for technical products and building tailored solutions for large enterprise customers
• Demonstrated experience engaging and selling into senior executive IT and LOB stakeholders.
• Proven strategies for acquiring and growing net new enterprise accounts in targeted verticals and/or territories.
• Highly data driven, with an entrepreneurial attitude and desire to win

We kindly request that all applications are made directly by candidates, no agencies.

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.