Marketing Coordinator

Posted 3 Days Ago
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San Diego, CA
In-Office
60K-70K Annually
Entry level
Artificial Intelligence • Internet of Things • Machine Learning • Robotics
The Role
The Marketing Coordinator will create content for campaigns, conduct market research, analyze performance metrics, and collaborate with teams while supporting marketing strategies.
Summary Generated by Built In

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth.

POSITION SUMMARY:

We’re seeking a motivated and detail-oriented Marketing Coordinator to support content development and market research efforts. This entry-level position plays a key role in helping tell Netradyne’s story through data-driven insights, creative storytelling, and competitive analysis.

ESSENTIAL FUNCTIONS:

  • Create and edit marketing content for blogs, social media, email, and digital campaigns
  • Conduct market and competitor research to identify emerging trends and opportunities
  • Support development of sales and product marketing collateral with data insights
  • Assist in maintaining content calendars, asset libraries, and messaging consistency
  • Track performance metrics and analyze campaign data to guide content strategy
  • Collaborate with cross-functional teams in Product, Growth, and Corporate Marketing

QUALIFICATIONS

  • Bachelor’s degree in Marketing, Communications, Business, or related field
  • Strong writing, storytelling, and analytical skills
  • Comfortable interpreting data and turning insights into actionable recommendations
  • Familiarity with content management and analytics tools (e.g., HubSpot, Google Analytics, SEMrush, Canva)
  • Curiosity about AI, transportation, and emerging technology trends

Economic Package Includes:

  • Salary $60,000 to 70,000 (will vary depending on residence) + annual bonus 
  • Company Paid Health Care, Dental, and Vision Coverage
    • Including Coverage for your partner and dependents
  • Three Health Care Plan Options
    • FSA and HSA Options
  • Generous PTO and Sick Leave
  • 401(K) 
  • Disability and Life Insurance Benefits
  • $50 phone stipend per pay period
San Diego Pay Range
$60,000$70,000 USD

We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.

If there is a match between your experiences/skills and the Company's needs, we will contact you directly.

Netradyne is an equal-opportunity employer.

Applicants only - Recruiting agencies do not contact.

Recruitment Fraud Alert!

There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind. Official communication about your application will only come from emails ending in ‘@netradyne.com’ or ‘@us-greenhouse-mail.io’.

Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website.

 

Top Skills

Canva
Google Analytics
Hubspot
Semrush
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The Company
San Diego, CA
400 Employees
Year Founded: 2015

What We Do

NetraDyne is a software company that creates solutions to real world problems using computer vision and deep learning technologies.

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