Cyber Product Trainer (Hybrid) - 26419

Enlighten, honored as a Top Workplace from USA Today, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science. Enlighten provides continued innovation and proactivity in meeting our customers’ greatest challenges. We recognize that the most effective environment for your projects doesn’t always look the same. Our hybrid work approach ensures that you can make lasting relationships with your team and collaborate in-person to get the job done—while having the flexibility to work from home when needed to achieve focused results. Why Enlighten? At Enlighten, our team’s unwavering work ethic, top talent and celebration of innovative ideas have helped us thrive. We know that our employees are essential to our company’s success, so we seek to take care of you as much as you take care of us. Here are a few highlights of our benefits package: •    100% paid employee premium for healthcare, vision and dental plans. •    10% 401k benefit. •    Generous PTO + 10 paid holidays. •    Education/training allowances. Anticipated Salary Range: $95,399.00 - $140,000.00. The salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, Enlighten takes a variety of factors into consideration which include, but are not limited to, the role's function, internal equity and a candidate's education or training, work experience, certifications and key skills. Occasionally positions/roles may include additional non-recurrent compensation and will be addressed by the recruiter during the interview process. Job Description Enlighten is looking for a Cyber Instructor to assist in designing, developing and delivering highly technical advanced training to enhance multiple mission operations across the defense industry. The candidate must have an engaging personality, customer service adaptability, and excellent teaching skills. They will work in a fast-paced, mission oriented environment with our talented team of instructors and curriculum developers. The candidate must have a background and understanding of joint service defensive operations as well as network or host cyber operations and analysis. Work location is hybrid, and the candidate must be willing to work on-site with customers as needed and travel approximately 25% of the time. CONUS and OCONUS travel is possible. #LI-KB2 #Mid-Senior Level

{
  "content_hash": "4524f12855a204f4a63c4e231c602dbd1ee87559bdc6a0a446da3022ff3efb3e",
  "source_hash": "7546012ddc02a06d35a783fa4abb9b00fbaf81dc54b409674f052d33a857ffe5",
  "last_changed_at": "2026-06-03T12:43:01.412Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "Columbia, MD, Mary, Un",
    "city": "Columbia",
    "region": "MD",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.9
  },
  "salary_max": null,
  "salary_min": 95399,
  "inferred_at": "2026-06-06T14:10:54.956Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Columbia, MD, Mary, Un",
      "city": "Columbia",
      "region": "MD",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": "year",
  "workplace_type": "hybrid",
  "salary_currency": "USD"
}

{}

{
  "list_job": {
    "jobId": "1351675800",
    "title": "Title",
    "rawHref": "/job/Columbia%2C-MD-Cyber-Product-Trainer-%28Hybrid%29-26419-Mary/1351675800/",
    "detailUrl": "https://jobs.hii-tsd.com/job/Columbia%2C-MD-Cyber-Product-Trainer-%28Hybrid%29-26419-Mary/1351675800/"
  },
  "detail_meta": {
    "url": "https://jobs.hii-tsd.com/job/Columbia%2C-MD-Cyber-Product-Trainer-%28Hybrid%29-26419-Mary/1351675800/",
    "http_status": 200,
    "content_type": "text/html;charset=UTF-8",
    "response_bytes": 68176
  },
  "detail_errors": []
}