Customer Engineer @ Scale AI

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

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$140,000—$170,000 USD

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world’s most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor’s Know Your Rights poster for additional information.

We comply with the United States Department of Labor’s Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Customer Engineer

Enterprise

Scale AI

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