Drimva

RadixArk

Technical Program Manager

$160K–$300K

Palo Alto +1 · On-site · Manager · Full-time · Posted Apr 30, 2026

Location
Palo Alto
San Francisco
Experience
4+ years; alternatives: Technical Program Management, Engineering Management, or a senior engineering role with significant program ownership.
Education
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.

About the job

Drives complex, cross-functional programs across inference and training infrastructure from planning through release, coordinating engineering teams, product stakeholders, and external partners.

What you'll do

  • Plan and deliver programs by defining milestones, dependencies, risks, and success criteria; maintain program status and manage release readiness.
  • Coordinate technical work across engineering teams, product, hardware partners, and AI labs, resolving dependencies and supporting technical decisions.
  • Establish operating cadence and program-health metrics; coordinate incident response and communicate status, risks, and mitigation plans.

What they ask for

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
  • 4+ years of direct experience in Technical Program Management, Engineering Management, or a senior engineering role with significant program ownership, in a software or infrastructure company.
  • Strong technical fluency in systems software, distributed systems, or AI/ML infrastructure, including ability to read code and engage in architecture discussions.
  • Demonstrated track record shipping complex, multi-team programs on time and excellent written and verbal communication skills.

Nice to have

  • Direct experience shipping AI/ML infrastructure; hands-on coding background in Python, C++, or CUDA.
  • Experience coordinating with hardware vendors, driving open-source releases, or working with release engineering, CI/CD, observability, or enterprise SLAs.

Pay

$160,000 - $300,000 USD annual base salary

Tools

SGLang, Miles, Python, C++, CUDA, CI/CD

AI focus

Coordinates programs for AI inference and training infrastructure, including inference engines, training frameworks, hardware enablement, and integrations with AI labs.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 4, 2026 (UTC)