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Edtech Jobs in Virginia (NOW HIRING)

Experience in nonprofit, education, or EdTech environments preferred. Skills & Abilities * Strong project planning, organization, and prioritization skills. * Strong executive communication and ...

Experience in nonprofit, education, or EdTech environments preferred. Skills & Abilities * Strong project planning, organization, and prioritization skills. * Strong executive communication and ...

Hands-on with platforms like Amplitude, FullStory, or Mixpanel, plus prior work in EdTech, online learning, or a comparable consumer subscription / marketplace productProgramming & data: Strong ...

New

Hands-on with platforms like Amplitude, FullStory, or Mixpanel, plus prior work in EdTech, online learning, or a comparable consumer subscription / marketplace productProgramming & data: Strong ...

New

Showing results 41-60

Edtech information

See Virginia salary details

$31.1K

$115.5K

$175.5K

How much do edtech jobs pay per year?

As of Aug 22, 2026, the average yearly pay for edtech in Virginia is $115,548.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,253.00 and $135,181.00 per year, depending on experience, location, and employer.

What is an edtech job?

An Edtech job involves working at the intersection of education and technology to create, implement, or support digital learning tools and platforms. Professionals in this field may develop educational software, design online courses, analyze learning data, or provide technical support to educators. Edtech roles can range from instructional designers and product managers to engineers and data analysts. The goal is to enhance teaching and learning experiences through innovative technology solutions.

What are the key skills and qualifications needed to thrive in an edtech position?

To thrive in an Edtech role, you need a solid background in educational theory, instructional design, and technology integration, often supported by a degree in education, instructional technology, or a related field. Familiarity with learning management systems (LMS), e-learning authoring tools, and analytics platforms is commonly required, and certifications such as Google Certified Educator or ISTE Certified Educator are advantageous. Strong communication, creativity, and problem-solving are essential soft skills for effectively supporting educators and engaging diverse learners. These skills and qualifications are crucial to designing impactful digital learning experiences and ensuring technology enhances educational outcomes.

What are some common challenges faced by professionals in edtech roles?

Professionals in Edtech roles often navigate the challenge of introducing new technology to schools or organizations with varying levels of digital readiness among staff and students. Balancing the need for engaging, accessible educational content with curriculum standards and technological constraints can also be demanding. Additionally, ongoing updates to software and educational trends require continuous learning and adaptability. Despite these challenges, Edtech professionals enjoy a dynamic environment where innovation and collaboration can greatly enhance teaching and learning experiences.

Are edtech jobs in demand?

Edtech jobs are currently in high demand due to the growth of online learning and digital education platforms. Roles such as instructional designers, software developers, and education technology specialists are sought after, often requiring skills in e-learning tools, programming, and curriculum development.

How to break into Edtech?

To break into Edtech, candidates should develop skills in educational technology tools, instructional design, and digital content creation. Gaining relevant experience through internships, certifications, or projects, and staying informed about industry trends can improve job prospects in this field.

What do you do as an Edtech?

An Edtech professional develops, implements, and manages educational technology tools and platforms to enhance learning experiences. They may work on curriculum integration, software development, or training educators in using digital resources, often requiring familiarity with learning management systems and instructional design. The role involves collaboration with educators and technical skills to improve educational outcomes.

What are the most commonly searched types of Edtech jobs in Virginia?

The most popular types of Edtech jobs in Virginia are:

What cities in Virginia are hiring for Edtech jobs?

Cities in Virginia with the most Edtech job openings:

Infographic showing various Edtech job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $115,548 per year, or $55.6 per hour.

Forward Deployed Engineer IV, GenAI, Google Public Sector

Socket.dev

Reston, VA โ€ข On-site

$207 - $300/hr

Other

Posted 4 days ago


Job description

MINIMUM QUALIFICATIONS
  • Bachelorโ€™s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 8 years of experience with software development using Python or similar coding languages.
  • Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
  • Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
  • Experience leading technical discovery sessions with customers.
  • Must possess an active Top Secret/SCI security clearance.
PREFERRED QUALIFICATIONS
  • Masterโ€™s degree or PhD in AI, Computer Science, or a related technical field.
  • Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
  • Proven experience architecting integrated systems, navigating real-time inference constraints, and implementing model quantization for resource-constrained environments.
  • Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
  • Proficiency in Vertex AI Pipelines, Kubeflow, or MLflow to implement robust CI/CD/CT automation and experimentation.
  • Designing resilient data engineering pipelines using BigQuery and VertexAI for enterprise-scale analytics.
ABOUT THE JOB

The Google Public Sector Forward Deployed Engineering (GPS FDE) team is a squad of direct "innovator-builders" who rapidly deploy production-grade, secure AI solutions across Federal and SLED environments. Operating with a high-agency startup mindset, our engineers donโ€™t just advise; they actively code, debug, and co-build bespoke agentic workflows directly alongside our customers. We resolve complex integration, data sovereignty, and security challenges within strict compliance frameworks. Ultimately, the GPS FDE team accelerates the safe, reliable adoption of generative AI across mission-critical operations while feeding field insights directly back to Google Cloud Product engineering.

Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google

[https://about.google/intl/ALL_us/public-sector/#:~:text=We're%20committed%20to%20advancing,%2C%20research%2C%20and%20edtech%20companies.]

Quick note: Learn more about benefits at Google

RESPONSIBILITIES
  • Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.
  • Architect and code the connective tissue between Googleโ€™s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
  • Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
  • Identify repeatable field patterns and friction points in Googleโ€™s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
  • Co-build with Customer Engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.
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