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Ai Program Manager Jobs in Georgetown, TX (NOW HIRING)

Arrivia

Senior Technical Program Manager

Austin, TX · On-site

Are you a Technical Program Manager who has fundamentally rewired how you work? At arrivia , we ... You'll leverage AI copilots, automation platforms, and intelligent tooling to dramatically ...

HP Development Company, L.P.

Beta Program Manager

Austin, TX · On-site

$98K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Beta Program Manager Description - We are seeking a Beta Program Manager to support the execution ... Familiarity on leveraging AI technologies for problem solving. Compensation and Benefits The pay ...

Realtor.com Careers

Staff Technical Program Manager

Austin, TX · On-site

$127K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

We are looking for a Staff Technical Program Manager to partner with Product, Engineering, and ... Contribute to AI-forward ways of working, including AI-enabled workflows, automation, and decision ...

Realtor.com Careers

Staff Technical Program Manager

Austin, TX

$127K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

We are looking for a Staff Technical Program Manager to partner with Product, Engineering, and ... Contribute to AI-forward ways of working, including AI-enabled workflows, automation, and decision ...

Restaurant365

Program Manager, Talent Programs

Austin, TX · Hybrid

$80K - $105K/yr

As Program Manager, Talent Programs, you will be responsible for the day-to-day execution of assigned Talent Programs, as a pivotal part of our AI-forward Talent Solutions team. You'll bring start-to ...

New

Amat

Project/Program Manager

Austin, TX

$108K - $148K/yr

The equipment that we create and service is essential to advancing AI and accelerating the ... Ensure disciplined program management, governance, and accountability throughout implementation.

Hp

Beta Program Manager

Austin, TX

$98K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Beta Program Manager Description - We are seeking a Beta Program Manager to support the execution ... Familiarity on leveraging AI technologies for problem solving. Compensation and Benefits The pay ...

Tenstorrent

Engineering Program Manager, RISCV

Austin, TX · On-site

$100K - $500K/yr

With AI redefining the computing paradigm, solutions must evolve to unify innovations in software ... We're looking for a driven Engineering Program Manager-or a hands-on technical lead ready to step ...

Meta

Program Manager, Strategic Initiatives

Austin, TX

$193K/yr

Program Manager, Strategic Initiatives Responsibilities: * Set and drive priorities and operating ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

Apptronik

Senior Technical Program Manager

Austin, TX · On-site

Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in ... As a Senior Technical Program Manager, you will orchestrate the integration of various engineering ...

Cisco

Senior Engineering Program Manager

Austin, TX · On-site +1

$166K - $234K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We own a suite of security services that operate at the intersection of engineering, cloud, and AI to help teams build securely by design. Our Program Management Office is the engine that turns that ...

Feedonomics

Technical Program Manager

Austin, TX · On-site

$127K - $165K/yr

We believe in harnessing AI responsibly to unlock new possibilities, and we're looking for ... We are seeking an experienced Technical Program Manager to lead the delivery of strategic programs ...

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All JobsAi Program JobsAi Program Manager JobsAi Program Manager Jobs in Georgetown, TX

Ai Program Manager information

See Georgetown, TX salary details

$35.8K

$99.8K

$145.9K

How much do ai program manager jobs pay per year?

As of Aug 15, 2026, the average yearly pay for ai program manager in Georgetown, TX is $99,844.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,900.00 and $123,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI program manager, and why are they important?

To thrive as an AI Program Manager, you need expertise in project management, a strong understanding of AI concepts, and experience leading cross-functional teams, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks, cloud platforms, agile methodologies, and certifications such as PMP or Scrum Master are highly valuable. Excellent communication, problem-solving, and stakeholder management skills set standout professionals apart in this role. These abilities ensure projects are delivered on time, align with business goals, and effectively bridge the gap between technical and non-technical teams.

What is the difference between Ai Program Manager vs Data Scientist?

AspectAi Program ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience in AI projectsBachelor's/Master's/PhD in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentOversees AI projects, collaborates with cross-functional teams, manages timelinesAnalyzes data, develops models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles require technical expertise, the Ai Program Manager focuses on overseeing AI initiatives and project management, whereas the Data Scientist concentrates on data analysis and model development. The roles often collaborate but serve different functions within AI projects.

What are some common challenges faced by AI program managers when coordinating cross-functional teams?

AI Program Managers often encounter challenges in aligning diverse teams—such as data scientists, engineers, product managers, and business stakeholders—toward shared project goals. Differences in technical backgrounds, communication styles, and priorities can lead to misunderstandings or delays. Successful AI Program Managers proactively facilitate clear communication, set well-defined milestones, and ensure that all team members understand the project's objectives and constraints. Building strong relationships across departments and maintaining adaptability are key strategies for overcoming these challenges.

What is an AI program manager?

An AI Program Manager is a professional responsible for overseeing and coordinating the planning, execution, and delivery of artificial intelligence projects within an organization. They work closely with data scientists, engineers, stakeholders, and business leaders to ensure AI initiatives align with business goals and are delivered on time and within budget. Their role often includes managing project timelines, resources, communication, and risk, while also keeping up with industry advancements and ensuring ethical AI practices. AI Program Managers bridge the gap between technical teams and business objectives, ensuring successful implementation of AI solutions.

What job categories do people searching Ai Program Manager jobs in Georgetown, TX look for?

The top searched job categories for Ai Program Manager jobs in Georgetown, TX are:

What cities near Georgetown, TX are hiring for Ai Program Manager jobs?

Cities near Georgetown, TX with the most Ai Program Manager job openings:

Ai Program Manager jobs near you
Infographic showing various Ai Program Manager job openings in Georgetown, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $99,844 per year, or $48 per hour.

AI Cluster Technical Program Manager - Validation, Debug & Agentic AI

Advanced Micro Devices, Inc

Austin, TX • On-site

$142K/yr

Full-time

Posted 18 days ago

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

27th of 157 rated electronics manufacturers

Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we're looking for talent who feel the same: people who want to leave the planet better than they found it, those who don't shy away from humanity's challenges but are determined to help solve them.
AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you're designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger - technology that moves the world forward.
THE ROLE:
We are seeking a Technical Program Manager to lead execution of AI cluster engineering programs with deep focus on GPU platforms, rack-level solutions, and AI Cluster validation. This role is responsible for driving end-to-end delivery from GPU + server integration through rack bring-up, scale testing, failure analysis, and system debug closure, ensuring platform readiness for hyperscale and enterprise AI deployments.
This role operates at the intersection of hardware, firmware, networking, and scale-test execution, and requires strong technical depth combined with disciplined program execution.
THE PERSON:
You are a hands-on TPM who thrives in complex, fast-moving ecosystems, and can connect deep technical details to crisp program plans, executive reporting, and customer outcomes. You are comfortable driving execution in bring-up and EVT/DVT/PVT working closely with engineers to root-cause issues, unblock debug, and make data-driven tradeoffs to keep programs moving. You bring urgency, ownership, and clarity to ambiguous problem spaces and can communicate effectively from lab floor to executive review.
KEY RESPONSIBILITIES:
Program Leadership & Execution
  • Define, plan, and drive program plans for AI infrastructure systems validation and readiness, including server integration, rack bring-up, and cluster-scale deployment readiness.

  • Create and maintain core PM artifacts: schedules, dependency maps, resource forecasts, risk/issue logs, and program dashboards/status reports.

  • Identify and drive mitigation plans for issues/risks, including cross-team escalations and corrective actions across multiple engineering areas.

  • Drive regular execution reviews with engineering teams and provide concise, data-driven updates to senior leadership.

GPU & Platform Execution
  • Own program execution for GPU-based AI platforms, spanning system bring-up, qualification, scale readiness, and deployment validation across server, rack, and cluster levels.

  • Drive alignment across GPU, CPU, firmware, BIOS/BMC, and system teams to ensure readiness for scale testing and customer workloads.

  • Track platform issues, and debug dependencies; ensure risks are clearly documented, owned, and mitigated.

AI Rack / Cluster Validation
  • Own program planning and execution for multi-node and multi-rack scale testing, including test strategy, scheduling, coverage tracking, and readiness gates.

  • Lead end-to-end delivery of rack-level AI solutions, including compute trays, switch trays, cabling, power, cooling, and management infrastructure.

  • Ensure rack bring-up plans are executable, resourced, and gated with clear entry/exit criteria across EVT, DVT, and scale phases.

  • Drive coordination across lab operations, infrastructure, and engineering teams to unblock rack access, power, networking, and test readiness.

  • Partner with scale, performance, and automation teams to ensure workloads, stress tests, and regressions plans are ready before hardware arrives.

Debug, Failure Analysis & Risk Management
  • Act as the execution lead for platform debug, coordinating across engineering teams to ensure fast triage, root-cause analysis, and resolution of system-level issues.

  • Track high-impact failures (GPU, HSIO, FW, rack, network) through debug forums ensuring clear ownership and closure plans.

  • Balance debug depth vs. program timelines, escalating tradeoffs when needed and ensuring leadership has a clear view of risk and impact.

System Rack Debug & Incident Management
  • Lead end-to-end system rack and cluster-level debug activities during validation, deployment, and fleet operations, driving rapid fault isolation and root-cause analysis across hardware, firmware, networking, and software domains.

  • Own incident management for critical deployment and validation issues, coordinating cross-functional war rooms and executive communications to ensure timely resolution.

  • Define key operational metrics such as Mean Time to Detect (MTTD), Mean Time to Mitigate (MTTM), Mean Time to Resolution (MTTR), incident recurrence rates, and fleet health indicators.

  • Drive post-incident reviews (PIRs), root-cause analysis (RCA), corrective actions, and long-term preventive measures to reduce Sev1/Sev2 incident recurrence and improve fleet reliability and deployment readiness.

  • Champion Agentic AI and AIOps solutions for automated incident triage, log analysis, root-cause identification, and operational workflow automation at scale

Agentic AI Transformation
  • Identify opportunities to leverage Agentic AI capabilities across validation and debug workflows.

  • Drive development and rollout of AI agents for:

    • Automated triage
    • Log analysis
    • Root-cause identification
    • Knowledge retrieval
    • Test orchestration
    • Incident management

  • Partner with data engineering teams to integrate AI-powered operational tools.

  • Establish success metrics and measurable business impact for agent-based automation initiatives.

  • Champion AI-first operational workflows across engineering organizations.

REQUIRED QUALIFICATIONS:
  • Experience leading complex hardware or AI infrastructure programs with ownership across bring-up, validation, and deployment phases.

  • Strong technical understanding of GPU-based AI systems, rack architectures, and datacenter infrastructure.

  • Proven ability to manage ambiguity, drive debug execution, and lead cross-functional teams without direct authority.

  • Strong written and verbal communication skills, including executive-level status reporting.

  • Proficiency with program management and execution tools (Jira, Confluence, dashboards, Excel/PowerPoint).

PREFERRED QUALIFICATIONS:
  • Hands-on experience with GPU cluster scale testing, system stress, or performance validation.

  • Familiarity with rack-level bring-up, power/cooling constraints, networking, and failure modes at scale.

  • Experience working through hardware/firmware debug cycles in pre-production or customer-facing environments.

  • Experience managing fleet-scale validation and deployment of AI, cloud, HPC, or hyperscale infrastructure.

  • Strong understanding of infrastructure observability, telemetry pipelines, log analytics, and incident management frameworks.

ACADEMIC CREDENTIALS:
  • Bachelor's or master's degree systems, EE, CS, or related engineering discipline.

  • PMP, Scrum Master, or equivalent program management training.

LOCATION: Austin, TX
THIS ROLE IS NOT ELIGIBLE FOR VISA SUPPORT
#LI-CS1
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
This posting is for an existing vacancy.

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