Frontier Agent Engineering Manager, Enterprise

Create sophisticated prompt engineering strategies optimized for customer-specific domains and data

Build and maintain prompt libraries, templates, and best practices for customer use cases

Conduct systematic prompt experimentation and A/B testing to improve model outputs

Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate

Serve as the Engineering Manager and technical point of contact for strategic enterprise accounts

Lead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration

Work closely with Scale's product and engineering teams to translate customer needs into product improvements

Document technical architectures, integration patterns, and best practices

Debug complex technical issues across the entire stack, from data pipelines to model outputs

Rapidly prototype solutions to unblock customers and prove out new use cases

Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems

Identify opportunities for productization based on common customer patterns

5+ years of software engineering experience with 3+ yrs of Management experience with strong fundamentals in data structures, algorithms, and system design

Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)

Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure

Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions

Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences

Agent Development Wiz

Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures

Experience building and deploying AI agents or autonomous systems in production

Knowledge of vector databases and semantic search systems

Contributions to open-source AI/ML projects

Infrastructure Guru

Experience with containerization (Docker, Kubernetes) and CI/CD pipelines

Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools

Previous work in a devops, platform, or infra role

Familiarity with enterprise security, compliance, and governance requirements (SOC 2, GDPR, HIPAA)

Customer Product Whisperer

Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role

Domain expertise in verticals like finance, healthcare, government, or manufacturing

Experience with technical enablement or teaching programs

The following are some examples of the types of projects we’ve worked on with customers. All of these projects leverage customer data, integrate directly into customers’ existing systems, and are deployed on their infrastructure.

For a global professional services firm, we developed a sophisticated deep research agent to assist in due diligence. This agent employs a multi-agent architecture for robust fact-checking, integrates several internal MCP tools, and processes complex, unstructured data sources. This solution reliably saves employees hundreds of hours weekly.

Working with a TelCo organization, we built a model utilizing customer data to predict churn likelihood. The system then curates personalized offers based on this prediction. This model was integrated into a "next best action" copilot, enabling call center agents to proactively surface relevant offers to customers, leading to a significant reduction in churn.

We partnered with a healthcare organization to create a lifelike voice agent and avatar designed to gather unstructured health information from patients. Engineered for low latency, the agent adeptly manages conversational flow, adheres to safety guardrails, and efficiently handles data extraction. This automation saves the organization's nurses hundreds of hours each week.

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 and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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 NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. 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 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 accommodations@scale.com. 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.

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