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

iFlow Inc

Program Manager

Austin, TX · On-site

Job Title: Program Manager Location : Austin,TX Duration: 6 Months Experience: 5-15 Years ... Integrate SGLang with the Run:ai Model Streamer to enable concurrent tensor streaming directly to ...

HCL Global Systems Inc

Program Manager 3

Austin, TX · On-site

HCL Global Systems Inc is seeking an experienced Program Manager 3 to lead complex IT projects. The ... AI, automation tools, and process improvement methodologies (e.g., Lean Six Sigma). • Strong ...

Mwe

Senior Manager, AI & Analytics

Austin, TX

That's why our benefits program supports your physical, emotional, mental, and financial health ... The Senior Manager, AI & Analytics owns the Accounting & Finance Systems Reporting, Data & AI ...

Lorven Technologies

Program Manager 3

Austin, TX · On-site

... AI prompts and query strategies to retrieve and synthesize program strategies for complex data ... project manager and/or data liaison role. 8 Required Experience collaborating with end-users ...

Sonar

Partner Program Manager

Austin, TX · On-site

$127K - $165K/yr

As the leader in AI code verification and governance, we solve a critical problem: ensuring that ... Role Overview As our Partner Program Manager, you will be the architect and operator of the ...

Sonar

Partner Program Manager

Austin, TX · On-site

$127K - $165K/yr

As the leader in AI code verification and governance, we solve a critical problem: ensuring that ... Role Overview As our Partner Program Manager, you will be the architect and operator of the ...

Sonar

Partner Program Manager

Austin, TX · On-site

$127K - $165K/yr

As the leader in AI code verification and governance, we solve a critical problem: ensuring that ... Role Overview As our Partner Program Manager, you will be the architect and operator of the ...

PBK

Technology & Innovation Program Manager

Austin, TX · On-site

$115K - $115K/yr

The Technology & Innovation Program Manager leads PBK's portfolio of Architecture/Engineering and corporate automation, AI, and innovation platform initiatives. This role is responsible for intake ...

Meta

Program Manager, Local Partnerships

Austin, TX

$174K/yr

We're looking for a Program Manager to lead program design and cross-functional coordination ... Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable ...

Apptronik

Staff Technical Program Manager

Austin, TX · On-site

$127K - $165K/yr

Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in ... As a Staff Technical Program Manager, you will set the strategic direction for how programs are ...

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Showing results 21-40

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.

Technical Program Manager- AI Cluster Validation

Advanced Micro Devices, Inc

Austin, TX • On-site

$162K/yr

Full-time

Re-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

WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
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.

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.

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

LOCATION: Austin, TX
This role is not eligible for visa sponsorship.
#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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