Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Partner with Frontier Agent Engineering teams on enterprise customer engagements, owning operational execution and delivery of technical work by managing timelines, milestones, risks, and dependencies. Drive strategic alignment and end-to-end execution of critical Enterprise initiatives, owning program delivery from scoping to enterprise-wide adoption. Serve as the core communication backbone between engineering, product, and executive leadership, accountable for systemic, measurable outcomes and driving efficiency across the agentic application development process. Translate technical complexity into clear execution strategies, proactively mitigate risks, and ensure reliable, high-value solutions are delivered at scale in a demanding AI environment.

Responsibilities

Own the strategic planning, scheduling, and high-velocity execution of multiple enterprise-grade programs, ensuring on-time delivery against aggressive product goals.
Run weekly cross-functional syncs, surface blockers, and drive decisions.
Manage complex dependencies and technical communication across core teams (e.g., Platform, Forward Deployed Engineering, Product) to seamlessly deliver frontier agents to enterprise customers.
Synthesize deep technical complexities into concise, actionable insights for engineers and C-suite stakeholders.
Drive clarity across the delivery team regarding priorities, risks, and strategic outcomes.
Proactively identify, track, and architect mitigations for technical risks unique to enterprise AI deployment, maintaining momentum in the face of ambiguity.
Modernize and scale agile execution frameworks (e.g., Jira, Linear) to support rapid, iterative machine learning and software development lifecycles.
Define, track, and report on key program health metrics, delivery forecasts, and engineering bottlenecks directly to executive leadership.

Requirements

5+ years of experience as a Technical Program Manager or in a technical leadership role managing complex, large-scale software engineering or machine learning development projects.
2+ years of dedicated experience managing programs focused directly on core engineering infrastructure, platform services, or distributed systems.
Strong foundational understanding of the Generative AI lifecycle, including LLM utilization for structured downstream tasks, model fine-tuning, and performance evaluation.
Proven track record of presenting to and influencing executive-level stakeholders, with the ability to translate complex technical challenges into clear business impacts.
Advanced proficiency with iterative development methodologies and modern project management tooling (Jira, Linear, etc.).
An insatiable appetite for learning and deeply engaging with modern ML/GenAI practices and infrastructure.
Strong software engineering fundamentals, ideally with prior professional experience as a software engineer or data developer before transitioning into program management.
Proven success driving the internal adoption of technical platforms, SDKs, or APIs across disparate product lines or independent business units.
Direct experience working with data quality pipelines, LLM-as-a-judge evaluation frameworks, or automated RLHF systems.

Skills

Technical Program Management
Enterprise-Scale Project Management
Software Engineering
Machine Learning Development
Generative AI
LLM Utilization
Model Fine-tuning
Performance Evaluation
Executive Communication
Stakeholder Influence
Iterative Development Methodologies
Jira
Linear
ML/GenAI Practices
ML/GenAI Infrastructure
Data Quality Pipelines
LLM-as-a-judge Evaluation Frameworks
Automated RLHF Systems

Experience Level

5+ years of Enterprise-Scale Experience
2+ years of Engineering Domain Expertise

About the Company

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.

Equal Opportunity

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