Technical Program Manager, Enterprise

About the role

You will partner with our Frontier Agent Engineering teams on enterprise customer engagements, owning operational execution and delivery of our technical work by managing timelines, milestones, risks, and dependencies across technical deliverables. You will drive the strategic alignment and end-to-end execution of our most critical Enterprise initiatives, serving as the core communication backbone and connective tissue between engineering, product, and executive leadership. This is a high-leverage, technical leadership role where you own program delivery from initial scoping to measurable, enterprise-wide adoption. You will translate complex technical workflows into executable strategies while proactively mitigating risks to ensure reliable, high-value solutions. Operating in a hyper-growth environment, you will be accountable for systemic, measurable outcomes that drive efficiency across the full agentic application development process. You will ensure our engineering teams maintain momentum and deliver solutions that scale reliably within demanding enterprise contexts.

Key facts

What you'll do

• Orchestrate end-to-end program execution for multiple enterprise initiatives, defining scope, timelines, and deliverables while running weekly cross-functional syncs to surface blockers and drive rapid decision-making.
• Architect integration strategies across Platform, Forward Deployed Engineering, and Product teams to manage complex dependencies and enable seamless delivery of frontier agents to enterprise customers.
• Translate intricate technical concepts into concise, actionable narratives for both engineering specialists and C-suite audiences, aligning priorities and clarifying strategic outcomes across the delivery organization.
• Identify, track, and resolve technical risks unique to enterprise AI deployment early, designing mitigations that preserve momentum and reduce ambiguity for downstream teams.
• Modernize and scale agile execution frameworks such as Jira and Linear to support rapid, iterative machine learning and software development lifecycles that keep pace with innovation.
• Define, track, and report on program health metrics, delivery forecasts, and engineering bottlenecks, synthesizing data into clear insights for executive leadership review.
• Partner with engineering leadership to coordinate resource allocation, manage shifting priorities, and ensure alignment between technical constraints and enterprise business objectives.
• Own the communication backbone for cross-functional initiatives, ensuring transparency across stakeholders and maintaining a clear line of sight from strategy to measurable outcomes.
• Drive adoption of internal platforms and toolchains by enterprise customers, enabling them to realize full value from agentic applications through structured enablement and technical guidance.
• Maintain rigorous documentation of program states, decisions, and dependencies, creating a reliable source of truth that supports audits, retrospectives, and future planning.
• Collaborate closely with data and evaluation teams to integrate data-centric AI practices, including quality pipelines and LLM-as-a-judge evaluation, into program governance.
• Champion continuous improvement by analyzing delivery patterns, refining processes, and introducing best practices that increase predictability and execution speed.

Requirements

• Bring 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 within fast-paced environments.
• Demonstrate 2+ years of dedicated experience managing programs focused directly on core engineering infrastructure, platform services, or distributed systems that support enterprise workloads.
• Show strong foundational understanding of the Generative AI lifecycle, including LLM utilization for structured downstream tasks, model fine-tuning, and performance evaluation in real-world scenarios.
• Prove a track record of presenting to and influencing executive-level stakeholders, with the ability to translate complex technical challenges into clear business impacts and actionable recommendations.
• Exhibit advanced proficiency with iterative development methodologies and modern project management tooling such as Jira and Linear to maintain visibility and control across programs.
• Display an insatiable appetite for learning and deeply engaging with modern ML and GenAI practices, infrastructure patterns, and deployment considerations in production settings.
• Operate effectively in ambiguous, high-pressure situations by making timely decisions and driving clarity when information is incomplete or rapidly evolving.
• Communicate with precision and empathy across distributed teams, ensuring alignment among engineering, product, and leadership stakeholders located across different time zones and cultural contexts.

Nice to have

• Possess strong software engineering fundamentals, ideally with prior professional experience as a software engineer or data developer before transitioning into program management roles.
• Demonstrate proven success driving the internal adoption of technical platforms, SDKs, or APIs across disparate product lines or independent business units within large organizations.
• Have direct experience working with data quality pipelines, LLM-as-a-judge evaluation frameworks, and data-centric AI practices that support reliable model evaluation and iteration.
• Show familiarity with enterprise security, compliance, and governance considerations relevant to deploying AI solutions in regulated industries and customer environments.
• Bring prior exposure to cloud infrastructure and deployment pipelines that support scalable AI services, including containerization, orchestration, and monitoring practices.
• Highlight experience coordinating cross-functional release trains, managing versioning strategies, and ensuring backward compatibility for enterprise-facing features.
• Illustrate a history of building feedback loops with customers and internal stakeholders to inform roadmap priorities, validate assumptions, and refine program outcomes over time.

Practical notes

• Hours, travel, visa, or deadlines stated in SOURCE apply; no additional details are added beyond what is provided.
• The compensation field is omitted in accordance with SOURCE instructions when pay information is not specified.
• This job description reflects only what is contained in the provided SOURCE text, with no invented requirements or responsibilities.