Solutions Architect, Contextual AI
$130-250k
Contextual language models for enterprise
Open for applications
Contextual language models for enterprise
21-100 employees
Open for applications
$130-250k
21-100 employees
Company mission
To change the way the world works through AI.
Role
Who you are
- Bachelor's degree in computer science, engineering, or a related field (Master's or Ph.D. preferred)
- Experience working in enterprise SaaS, AI/ML, infrastructure, or similar industries in a technical capacity with end-customer engagement
- Proficiency in data infrastructure and modern machine learning tools (e.g. PyTorch, TensorFlow, transformers)
- Proficiency with coding languages Python, Java, C++, or similar languages at a production level
- Demonstrated experience providing technical guidance and support in customer calls & interactions, addressing product usage needs, and resolving issues
- Strong communication and presentation skills. Ability to demonstrate professional polish and a high level of technical credibility when speaking with both executives and engineers
- Self-starter and ability to operate independently and at high-velocity
- Clear customer empathy and intellectual curiosity
What the job involves
- Contextual AI is hiring a Solutions Engineer to be part of the founding GTM team
- This team is responsible for selling into Global 2000 organizations deploying generative AI solutions in production
- As a Solutions Engineer, you’ll be a trusted technical advisor and subject matter expert for our prospects and customers, understanding requirements, designing demos, and driving business value
- You’ll accomplish this by working closely with customers to identify use cases, scope out needs, design pipelines, and help drive the adoption of Contextual AI’s technology
- You will be a subject matter expert on AI industry trends and best practices
- You will work directly with customers to align Contextual AI’s products to their top use cases
- You must be ready for technical discussions with engineers, and demonstrate the value of Contextual AI in business discussions with directors and executives
- You will help distill feedback from customers and help improve Contextual AI’s products while working with the product and engineering team
- You will own the technical aspects of the sales cycle, driving the technology evaluation processes to highlight Contextual AI’s differentiation, clarify the business value to the customer, and ensure our customers’ success with our products
- You will act as a trusted advisor to our customers, while also building relationships with technical stakeholders
- Scope customer trials and projects. Work with the engineering and product teams to design and implement POC requirements that satisfy customer needs but are also technically feasible
- Create and deliver specialized technical demos according to the customers
- Act as the “Voice of the Customer” - Regularly engaging them on status calls, educating on product roadmap and QBRs, and managing escalations, while influencing our roadmap in partnership with our Product team
- Interpret complex problems, create simple solutions and collaborate closely with prospects, channel partners and our sales team to deliver winning solutions
Our take
Founded by former Facebook research scientists, Contextual AI is building customisable, scalable and trustworthy Large Language Models for use by enterprises. Its main product is a tool to improve model performance so that users can build production-grade AI systems.
The backbone of this product is a technology that feeds curated information into AI models so that the LLM can have more context and up-to-date information. This helps to minimise AI “hallucinations”, an increasingly common problem for models like ChatGPT.
Contextual AI is currently working with companies in the finance, technology and media sectors. Since its impressive 2024 funding, it will no doubt seek growth, perhaps into other sectors. Either way, as AI models become more and more common in enterprise use, the future looks bright for Contextual AI.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Aug 2024
$80m
SERIES A
Jun 2023
$20m
SEED
Total funding: $100m
Company benefits
- Nnovative Environment: Be part of a forward-thinking company that values creativity and innovation
- Career Growth: Opportunities for professional development and career advancement
- Collaborative Culture: Work with a talented and supportive team dedicated to excellence
Company HQ
SoMa, San Francisco, CA
Leadership
Douwe Kiela
(CEO)Previously Adjunct Professor at Stanford University, Head of Research at Hugging Face and Research Scientist at Facebook. Was also the CEO and Founder of Brainstorm IT.
Amanpreet Singh
(CTO)Previously Research Team Lead at Hugging Face, Research Engineer at Facebook AI, and Mobile Maintainer at jQuery Foundation. Was also a Software Engineering Intern at Amazon.
Salary benchmarks
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