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