Scale is at the forefront of the AI revolution, working with some of the largest companies in the world to unlock the potential of Generative AI models for their business.

We are building the Scale GenAI Platform, a full-stack product to build, test, and deploy enterprise-ready Generative AI applications, customized with the customer's own proprietary data. 

Scale GP enables customers across industries to rapidly develop and deploy custom GenAI solutions like:

• Content-generation systems that enable sales teams to be more effective and efficient.
• Highly customized wealth management copilots that make advisors more effective by helping them tap into their knowledge bases quickly and accurately.
• Text2SQL business intelligence applications to make analysts more efficient and embed a culture of data-driven decision-making.

We are seeking an experienced customer engineer to join our team and play a pivotal role in working with industry leading Generative AI companies to build and scale our fast growing product to shape the future of GenAI adoption in the enterprise space. This exciting role lies at the intersection of customer delivery and engineering, providing you with a wealth of experience and stimulating both sides of your brain. The ideal candidate will have a strong technical knowledge in web development and APIs and also understanding of customer management principles and practices. In this role, your daily tasks may include engaging in discussions about integration and API architectures with engineers, working with large datasets, developing custom tools, and meeting with customer executives.

You will:

• Build relationships with technical and business customer stakeholders at all levels and across all roles and help them build and improve GenAI applications
• Deliver experiments and push production code at a high velocity and level of quality in both our customer’s and Scale’s codebases
• Be the voice of the customer by capturing, documenting, and championing new customer requirements 
• Manage the long-term health of the customer base by identifying and preempting areas of risk or concern
• Be able and willing to multi-task and learn new technologies quickly

Ideally you'd have:

• Strong engineering background a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background
• 2 years of engineering experience, post-graduation, ideally in a client-facing setting
• Proficiency in one or more of Python, React, Typescript, Node, Next.js, CSS
• Experience owning design and implementation for heavily used frontend apps
• Experience scaling products at hyper growth startups
• Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies

Nice to haves:

• 2 years of consulting or customer engagement experience
• Experience with major cloud providers (AWS, Azure, GCP) and Kubernetes