Technical Program Manager, Enterprise
$211k - $264k • Remote • New York, NY; San Francisco, CA; New York, NY
Posted 1mo ago
Job Location
New York, NY; San Francisco, CA; New York, NY
Tech Stack
Remote Work Policy
Fully remote
Categories
Applied AI Engineer
About the job
As a Technical Program Manager, you will partner with our Frontier Agent Engineering teams on enterprise customer engagements, owning operational execution and delivery of technical work by managing timelines, milestones, risks, and dependencies. You will drive the strategic alignment and end-to-end execution of critical Enterprise initiatives, serving as the core communication backbone between engineering, product, and executive leadership. Operating in a demanding AI environment, you will translate technical complexity into clear execution strategies, proactively mitigate risks, and ensure engineering teams deliver reliable, high-value solutions at scale.
Responsibilities
- Own strategic planning, scheduling, and high-velocity execution of enterprise-grade programs, ensuring on-time delivery.
- Manage complex dependencies and technical communication across core teams to deliver frontier agents to enterprise customers.
- Synthesize deep technical complexities into concise, actionable insights for engineers and C-suite stakeholders.
- Proactively identify, track, and architect mitigations for technical risks unique to enterprise AI deployment.
- Modernize and scale agile execution frameworks to support rapid, iterative machine learning and software development lifecycles.
- Define, track, and report on key program health metrics, delivery forecasts, and engineering bottlenecks 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 on core engineering infrastructure, platform services, or distributed systems.
- Strong foundational understanding of the Generative AI lifecycle, including LLM utilization, model fine-tuning, and performance evaluation.
- Proven track record of presenting to and influencing executive-level stakeholders.
- 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.
Benefits
- Base salary
- Equity
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Commuter stipend