Channel Sales Manager

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Hiring Remotely in USA
Remote
90K-130K Annually
Artificial Intelligence • Internet of Things • Machine Learning • Robotics
The Role

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:

The Channel Sales Manager is responsible for developing, managing, and expanding the partner network to drive indirect sales growth for the company's video telematics solutions. This individual will lead channel partner relationships, including value added resellers, distributors, system integrators, and strategic alliances, ensuring these partnerships are productive and aligned with the company’s overall sales and revenue objectives. The role requires a combination of strategic thinking, sales execution, and strong relationship management to promote the company’s products through partners while ensuring customer satisfaction and successful implementations.

ESSENTIAL FUNCTIONS:

Channel Strategy Execution:

  • Execute a comprehensive channel strategy, including partner segmentation, recruitment, enablement, and engagement plans.
  • Collaborate with sales leadership to align channel strategy with direct sales efforts.

 Partner Relationship Management:

  • Develop and nurture long-term relationships with channel partners, fostering trust and mutual growth.
  • Regularly meet with partners both remotely and in-person to review performance, opportunities, and jointly developed strategies for success.

Revenue Generation & Sales Growth:

  • Drive revenue growth through channel partners by setting sales targets and ensuring accountability to these goals.
  • Track sales forecasts, pipeline, and performance metrics to ensure targets are met or exceeded.
  • Identify and address any performance issues or challenges faced by partners.

Training & Enablement:

  • Work closely with marketing, solutions engineering, and sales enablement to develop strategies and content that support channel partners' marketing and sales efforts.
  • Ensure partners are fully enabled to represent and sell video telematics solutions, including understanding value propositions, use cases, and technical specifications.

Partner Program Development:

  • Manage partner incentive programs, including rebates, marketing funds, and co-selling initiatives, to drive sales growth.
  • Create and optimize partner onboarding processes, ensuring quick and effective enablement.

Collaboration & Communication:

  • Coordinate with internal teams (e.g., marketing, product, and customer support) to align go-to-market strategies, support partners with marketing initiatives, and resolve any customer or technical issues.
  • Provide regular feedback and insights to the product and R&D teams based on partner and customer input.

Market Analysis & Expansion:

  • Conduct ongoing market research to identify new opportunities for channel growth, including emerging markets and potential partners.
  • Monitor industry trends, competitor strategies, and customer needs to ensure the company’s offerings remain competitive and aligned with market demands.

EXPERIENCE/TRAINING

  • A minimum of 5-7 years of experience in channel sales or partner management within the technology industry, preferably in video telematics, fleet management, or IoT. Demonstrated success in driving revenue growth through a partner network, with measurable outcomes. Proven experience in recruiting and managing a diverse range of channel partners across different markets and geographies.

Training & Certifications:

   - Formal training in insurance, risk management, or telematics is advantageous.

   - Experience with video telematics, IoT, or fleet management systems is a strong plus.

Education

Bachelor’s degree preferred

Annual on-target earnings (OTE) range for full-time employees for this position is: $126,000 - $182,000 USD (depending on your city of residence and experience) 

Economic Package Includes: 

  • Salary + uncapped monthly commission  
  • Company equity
  • Company Paid Health Care, Dental, and Vision Coverage for you and most of your dependents
  • Generous PTO and Sick Leave
  • 401(K) with generous company match
  • Disability, Life Insurance and Ancillary Benefits
  • And much more



United States
$90,000$130,000 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.

 

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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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