Staff AI Engineer
Raleigh, NC · On-site
... programs, WGU is also committed to being a great place to work for a diverse workforce of student ... Establish and mature LLMOps practices including governance, cost management, observability, and ...
Staff AI Engineer
Raleigh, NC · On-site
... programs, WGU is also committed to being a great place to work for a diverse workforce of student ... Establish and mature LLMOps practices including governance, cost management, observability, and ...
Sales Executive / New Business Sales Representative (Remote)
Durham, NC · On-site
$80K - $95K/yr
Manage the full sales cycle, from prospecting and gathering information to calling departments ... Health, dental, and vision coverage Retirement Plan: 401k program PTO: Unlimited PTO and flexible ...
Sales Executive / New Business Sales Representative (Remote)
Durham, NC · On-site
$80K - $95K/yr
Manage the full sales cycle, from prospecting and gathering information to calling departments ... Health, dental, and vision coverage Retirement Plan: 401k program PTO: Unlimited PTO and flexible ...
Senior AI Engineer
Raleigh, NC · On-site
$161K - $249K/yr
... programs, WGU is also committed to being a great place to work for a diverse workforce of student ... Background in EdTech, personalized learning, or student-facing AI applications Experience in Lieu ...
Senior AI Engineer
Raleigh, NC · On-site
$161K - $249K/yr
... programs, WGU is also committed to being a great place to work for a diverse workforce of student ... Background in EdTech, personalized learning, or student-facing AI applications Experience in Lieu ...
... edtech, and ecommerce, from strategy through implementation and reporting. That means leading ... AEO and GEO programs. Entity and schema strategy, content structured so that models can extract and ...
New
... edtech, and ecommerce, from strategy through implementation and reporting. That means leading ... AEO and GEO programs. Entity and schema strategy, content structured so that models can extract and ...
New
Edtech Program Manager information
What does an Edtech Program Manager do?
An Edtech Program Manager oversees the planning, implementation, and evaluation of educational technology programs within schools, districts, or organizations. They collaborate with educators, administrators, and tech teams to ensure that digital tools and platforms are effectively integrated into the curriculum. Their responsibilities often include managing budgets, training staff, analyzing program outcomes, and staying up-to-date with the latest edtech trends to enhance learning experiences. Success in this role requires strong project management, communication, and leadership skills.
What are the key skills and qualifications needed to thrive as an Edtech Program Manager?
To thrive as an Edtech Program Manager, you need expertise in project management, instructional design, and educational technology, often supported by a relevant degree and experience in education or technology. Familiarity with Learning Management Systems (LMS), data analytics tools, and certifications like PMP or Agile are typically valuable. Strong leadership, communication, and stakeholder management skills help drive collaboration and successful program implementation. These skills are crucial for effectively coordinating teams, delivering impactful learning solutions, and ensuring educational goals are met in dynamic, tech-driven environments.
How does an Edtech Program Manager typically collaborate with educators and technical teams to implement new learning technologies?
As an Edtech Program Manager, you will frequently serve as a bridge between educators and technical teams. This involves gathering feedback from teachers and administrators to understand their instructional needs, then working closely with developers and IT staff to ensure that the chosen technologies meet those requirements. Regular meetings, collaborative planning sessions, and pilot program rollouts are common, enabling you to facilitate clear communication and successful implementation. This cross-functional collaboration is essential for creating effective, user-friendly educational solutions.
What is the difference between Edtech Program Manager vs Edtech Project Coordinator?
| Aspect | Edtech Program Manager | Edtech Project Coordinator |
|---|---|---|
| Credentials | Bachelor's degree, experience in education or technology, project management certifications | Bachelor's degree, experience in education or technology, basic project coordination skills |
| Work Environment | Oversees multiple projects, strategic planning, stakeholder communication | Supports project teams, manages schedules, assists with task execution |
| Employer & Industry Usage | Educational institutions, edtech companies, nonprofits | Educational institutions, edtech startups, corporate training providers |
The Edtech Program Manager focuses on strategic oversight and managing multiple initiatives, while the Edtech Project Coordinator handles day-to-day project tasks and supports project teams. Both roles require relevant education and experience, but the Program Manager has a broader scope and higher responsibility level.
What are popular job titles related to Edtech Program Manager jobs in North Carolina?
For Edtech Program Manager jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Edtech Program Manager jobs in North Carolina look for?
The top searched job categories for Edtech Program Manager jobs in North Carolina are:
What cities in North Carolina are hiring for Edtech Program Manager jobs?
Cities in North Carolina with the most Edtech Program Manager job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 5 days ago
Western Governors University rating
8.5
Based on 44 frontline employees who took The Breakroom Quiz
80th of 620 rated colleges and universities
Job description
If you're passionate about building a better future for individuals, communities, and our country-and you're committed to working hard to play your part in building that future-consider WGU as the next step in your career.
Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.
The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:
Job Description
As a Staff AI Engineer, you will serve as a technical leader and force multiplier within the AI Engineering Enablement team. You will define how AI systems are architected, deployed, and scaled across the organization. Operating at the intersection of deep technical expertise and organizational leadership, you will shape platform strategy, influence roadmaps, and elevate engineering capabilities across multiple teams.What You'll Do
- Define and own AI engineering architecture standards, design patterns, and platform conventions for LLM-based systems
- Lead complex, cross-functional AI initiatives from inception through delivery, aligning engineering, product, data science, and research stakeholders
- Drive build-vs-buy and vendor evaluation decisions for AI frameworks, models, and infrastructure
- Design and scale internal AI platforms including shared tooling, reusable components, prompt libraries, and evaluation infrastructure
- Establish and mature LLMOps practices including governance, cost management, observability, and safe deployment standards
- Lead AI safety initiatives including red-teaming, adversarial testing, and responsible AI policy development
- Mentor and develop Senior and II-level engineers through coaching, design reviews, and technical leadership
- Expert-level, production-proven experience across the AI engineering stack including LLM APIs, agentic systems, RAG pipelines, evaluation frameworks, and LLMOps
- Demonstrated ability to define and drive architectural patterns and engineering standards at team or organizational scale
- Deep expertise in agentic system design including multi-agent architectures, state management, and reliability engineering for non-deterministic systems
- Strong platform engineering experience designing shared infrastructure, reusable tooling, and developer-facing systems
- Advanced knowledge of LLM fine-tuning, alignment techniques, and evaluation methodologies including safety and bias assessment
- Experience leading vendor evaluations and technical due diligence for AI frameworks and infrastructure
- Strong proficiency in Python and software engineering fundamentals with a focus on quality, testing, and reliability standards
- Bachelor's Degree in Computer Science, Software Engineering, Data Science, Machine Learning, Math, or a related field. Master's Degree strongly preferred.
- 7+ years of experience in software engineering, data science, or machine learning
- 5+ years of hands-on experience building and deploying LLM-based or AI systems in production at scale
- Demonstrated experience setting architectural direction across teams or organizations
- Experience leading complex AI projects across multiple teams or functional areas
- Proven mentorship of Senior and/or II-level engineers
- Experience designing and operating shared AI platforms or internal AI infrastructure
- Experience owning LLMOps or MLOps practices including governance, rollout strategy, and production monitoring
- Experience with AWS cloud architectures including scalable inference, data pipelines, and cost optimization
- Hands-on experience with fine-tuning, PEFT, and model evaluation in production environments
- Master's Degree or PhD in Computer Science, AI/ML, or a related field
- Experience with Databricks and related certifications
- AWS certifications such as AWS Certified Machine Learning - Specialty
- Experience with open-source model ecosystems and self-hosted inference infrastructure
- Experience in EdTech, personalized learning, or student-facing AI platforms
- Published research, conference presentations, or open-source contributions in AI/ML
- Experience with enterprise AI governance, compliance frameworks, or regulatory requirements
Equivalent relevant experience performing the essential functions of this job may substitute for graduate education degree preferences or requirements.
What to ExpectAt WGU, our mission drives everything we do, including how we hire. Our interview experience is designed to give qualified candidates the opportunity to show their best work through meaningful conversations and collaboration.
We thoughtfully review every application and invite forward the candidates whose experience and potential best align with the role and our mission.
We thoughtfully review every application and invite forward the candidates whose experience and potential best align with the role and our mission.
- Introductory call
- Hiring manager interview
- Technical interview
- Final panel interview
This is a full-time, in-office position requiring five days per week in our Raleigh, NC office, designed to foster the collaboration and connection that fuel our best work.
Visa SponsorshipWhile we welcome applicants from all backgrounds, WGU is not able to provide visa sponsorship for this role.
Travel RequirementThis position requires occasional travel of up to 20%, including required attendance at designated company summits (typically one to two per year). Additional travel may include conferences, visits to company locations, and other business-related events as needed. Additional travel may be assigned as needed to support business requirements.
#LI-AW2
Position & Application Details
Full-Time Regular Positions (classified as regular and working 40 standard weekly hours): This is a full-time, regular position (classified for 40 standard weekly hours) that is eligible for bonuses; medical, dental, vision, telehealth and mental healthcare; health savings account and flexible spending account; basic and voluntary life insurance; disability coverage; accident, critical illness and hospital indemnity supplemental coverages; legal and identity theft coverage; retirement savings plan; wellbeing program; discounted WGU tuition; and flexible paid time off for rest and relaxation with no need for accrual, flexible paid sick time with no need for accrual, 11 paid holidays, and other paid leaves, including up to 12 weeks of parental leave.How to Apply: If interested, an application will need to be submitted online. Internal WGU employees will need to apply through the internal job board in Workday.
Additional Information
Disclaimer: The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive.
Accommodations: Applicants with disabilities who require assistance or accommodation during the application or interview process should contact our Talent Acquisition team at recruiting@wgu.edu.
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to any protected characteristic as required by law.
What Western Governors University employees say
Pay
Benefits
Hours and flexibility
Workplace
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About Western Governors University
Sourced by ZipRecruiter
Industry
Colleges, universities, and professional schools
Company size
5,001 - 10,000 Employees
Headquarters location
Salt Lake City, UT, US
Year founded
1997