Similar Jobs
About the role:
We are looking for an Enterprise Solutions Engineer, with proven experience in AI & Machine Learning, who can help some of the largest organizations in the world realize their Generative AI ambitions with Stability AI’s products and services. In this role, you will assess their needs, help them overcome technical challenges, and guide customers towards the right solutions to realize their ambitions. You will interact with senior technical stakeholders at customer organizations, and be a critical path to providing customer requirements and feedback to guide our product and research teams. You will also work closely with our key partners to educate their technical teams on our services, and design solutions we can take to market jointly.
Responsibilities:
- Be the product expert in pre-sales/partner engagements to answer technical questions, create & deliver proof of concept demonstrations, articulate value propositions, and provide technical competitive differentiation
- Assist in the analysis, design and development of technology solutions for customers and partners
- Qualify sales opportunities in terms of the technical requirements, competition, decision making process
- Provide customer requirements and feedback to Stability AI’s product and research teams.
- Engage and build trust with senior technical stakeholders at customer and partner organizations.
- Develop technical assets to use in customer engagements, such as demos, technical guides/architectures, and solutions.
Qualifications:
- 5+ years of sales/solution/partner engineering experience covering a highly technical set of products
- 3+ years supporting AI & Machine Learning products and services
- Experience in applied AI or ML research or data science
- Proven experience within technology companies, especially cloud environments such as AWS and GCP
- Demonstrated experience engaging with senior technology executives. Strong relationship building skills with a pragmatic, solutions-oriented mindset
- Solid interest and experience to work with generative AI models such as Stable Diffusion or large language models is a big plus
- Excellent in public speaking and communicating technical concepts in a clear and precise manner.
Compensation
The salary range for both roles is between $155,000 and $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.
What you need to know about the Austin Tech Scene
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center