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Learning Program Manager Jobs in Austin, TX (NOW HIRING)

This role collaborates with business partners to assess learning needs, recommend appropriate training solutions, and ensure the successful delivery of learning programs. The Manager of Learning ...

Technical Program Manager

Austin, TX · On-site +1

$116K - $159K/yr

We empower our team to push the boundaries of what is possible-while learning every day in a ... Manages project schedule and task details by utilizing project management tools such as reports ...

Engineering Program Manager

Austin, TX · On-site

$127K/yr

... of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware ... Programme (EAP). We welcome people of different backgrounds and experiences; we're committed to ...

Engineering Program Manager

Austin, TX · On-site

$127K/yr

... of continuous learning and constant innovation. Job Summary We are seeking a Staff Hardware ... Programme (EAP). We welcome people of different backgrounds and experiences; we're committed to ...

We're looking for an exceptional Learning Specialist to help lead our customer onboarding and ... Partner with the Program Manager and Customer Success Manager teams to ensure smooth handoffs post ...

We're looking for an exceptional Learning Specialist to help lead our customer onboarding and ... Partner with the Program Manager and Customer Success Manager teams to ensure smooth handoffs post ...

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Learning Program Manager information

See Austin, TX salary details

$46.6K

$80.6K

$181.8K

How much do learning program manager jobs pay per year?

As of Jun 19, 2026, the average yearly pay for learning program manager in Austin, TX is $80,633.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $88,200.00 per year, depending on experience, location, and employer.

What is another word for learning?

For a Learning Program Manager, another word for learning is education or training, which involve acquiring knowledge or skills through instruction, practice, or experience. These terms are often used interchangeably in professional development and organizational learning environments.

What are the 4 types of learning?

In the context of a Learning Program Manager, the four main types of learning are formal, informal, experiential, and self-directed learning. Formal learning involves structured programs like courses and workshops, while informal learning occurs through everyday activities and interactions. Experiential learning emphasizes hands-on experience, and self-directed learning is driven by the individual's initiative and goals.

What are the key skills and qualifications needed to thrive in the Learning Program Manager position, and why are they important?

A Learning Program Manager typically needs a background in instructional design, project management, and adult learning theory, often supported by a degree in education, human resources, or a related field. Familiarity with Learning Management Systems (LMS), e-learning authoring tools, and certifications like PMP or CPLP is highly valued. Strong communication, stakeholder management, and organizational skills help candidates excel in collaborating across departments and adapting to evolving training needs. These competencies are crucial to effectively designing, implementing, and overseeing impactful learning initiatives that support organizational goals.

What is the definition of learning?

Learning, in the context of a Learning Program Manager, refers to the process of acquiring knowledge, skills, or competencies through study, experience, or instruction. It involves designing and implementing educational programs that facilitate understanding and skill development for learners. Effective learning strategies often incorporate assessment tools and instructional design principles to ensure measurable progress.

What age do Americans leave school?

In the United States, students typically leave high school at age 18 after completing their secondary education. Some students may finish earlier or later depending on their academic progress or if they pursue alternative education paths, which can influence their readiness for roles like Learning Program Managers that often require a bachelor's degree or higher. Understanding educational backgrounds can help in assessing candidate qualifications for training and development roles.

What does a typical day look like for a Learning Program Manager, and how do they interact with other departments?

A typical day for a Learning Program Manager involves designing training programs, coordinating with subject matter experts, analyzing learning needs, and overseeing program rollouts. You will work closely with HR, department leaders, trainers, and sometimes external vendors to ensure learning solutions align with both employee development and organizational objectives. Frequent tasks include reviewing program effectiveness, managing budgets or timelines, and providing status updates to leadership. Collaboration and strong project management are key, as you'll often balance multiple initiatives and adapt to changing business priorities to deliver successful outcomes.

What does a Learning Program Manager do?

A Learning Program Manager is responsible for designing, implementing, and overseeing training programs within an organization. They collaborate with stakeholders to identify learning needs, develop curriculum, and ensure training aligns with business goals. Their role includes project management, budgeting, measuring the effectiveness of learning initiatives, and leveraging technology to enhance training delivery. Effective Learning Program Managers improve employee skills, engagement, and overall organizational performance.

What are popular job titles related to Learning Program Manager jobs in Austin, TX? For Learning Program Manager jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Learning Program Manager jobs in Austin, TX look for? The top searched job categories for Learning Program Manager jobs in Austin, TX are:
What cities near Austin, TX are hiring for Learning Program Manager jobs? Cities near Austin, TX with the most Learning Program Manager job openings:
Infographic showing various Learning Program Manager job openings in Austin, TX as of June 2026, with employment types broken down into 73% Full Time, 26% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $80,633 per year, or $38.8 per hour.

Principal Technical Program Manager

Future Secure AI

Austin, TX • On-site

$127K - $165K/yr

Other

Posted 3 days ago


Job description

About the Role

As a Principal Technical Program Manager you will be a key technical leader within our advanced analytics and AI group. You will help manage the design, build, and deployment of sophisticated machine learning systems-particularly LLMdriven solutions-that solve highvalue, realworld problems for enterprise clients.

You'll be part of a culture that prizes technical excellence, creativity, and continuous learning. Beyond technical depth, you will influence strategy, mentor emerging talent, and help shape our approach to responsible and scalable AI.

Your work will directly contribute to AI systems that have the potential to transform industries-and society.

Responsibilities

  • Technical Program Leadership: Drive the full lifecycle of complex, cross-functional technical programs from inception to launch, ensuring alignment with overall company strategy and adherence to established timelines and budgets
  • Roadmap and Planning: Define and execute detailed program plans, prioritizing initiatives in collaboration with product and engineering leadership to deliver against a clear technical roadmap, balancing innovation with customer needs and business objectives
  • Cross-Functional Orchestration: Lead and coordinate the efforts of engineering, product management, machine learning scientists, and design teams, ensuring seamless collaboration and delivery of successful outcomes
  • Risk & Dependency Management: Proactively identify, assess, and mitigate program risks and dependencies, communicating effectively and driving resolution of roadblocks to maintain program momentum
  • Process & Efficiency: Champion continuous improvement of program management processes, methodologies, and tools, fostering a culture of efficiency, accountability, and predictability
  • Communication and Stakeholder Management: Provide regular and transparent program status updates, risk assessments, and dependency reports to stakeholders at all levels, using clear, concise, and impactful communication
  • Strategic Influence: Influence cross-functional decision-making through data-driven insights, technical expertise, and a deep understanding of complex AI system architectures
  • Team Enablement: Build and maintain a framework to equip program teams with the necessary tools, processes, and information to ensure success and maximize efficiency
  • AI Platform Focus: Specifically manage programs related to the core AI platform, ensuring efficient integration of models and delivery of proactive, intelligent features to our users

Minimum Qualifications

  • Bachelor's degree in Mathematics, Data Science, Statistics, Computer Science or a related discipline
  • 12+ years of experience in technical program management with a proven track record of leading large-scale, complex programs in a fast-paced, high-growth environment
  • Demonstrated ability to define and execute program strategies and roadmaps, aligning with business objectives
  • Deep understanding of software development methodologies (Agile, Scrum, Kanban) and experience applying them to AI/ML projects
  • Exceptional communication, interpersonal, and presentation skills, with the ability to influence and build consensus across diverse teams
  • Strong analytical and problem-solving skills, with a data-driven approach to decision-making
  • Experience working in the AI sector with machine learning/AI technologies experience with LLMs is highly preferred
  • Experience with cloud platforms (AWS, Azure, or GCP) is highly desirable

Preferred Qualifications

  • Master's degree or Doctorate in Data Science, Mathematics, Statistics, Computer Science or a related discipline
  • Experience with modern LLM ecosystems (e.g., LangChain, LlamaIndex, RAG pipelines, multiagent frameworks, GPTbased systems)
  • Experience with NLP techniques: LSTMs, CNNs, transformers, topic modelling, supervised NLP
  • Python experience focused on machine learning and NLP

Why Join Us?

  • A high-performance culture
  • State-of-the-art technology
  • Experience world-class leadership
  • Scale of impact and purpose
  • A competitive salary and a huge growth trajectory
  • Work with the best in the industry
  • Flexible work environment
  • Diversity and creativity

Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.