Regional Sales Manager (Intelligent Transportation Solutions) - U.S. Northeastern Quadrant
Job Description
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Derq is an MIT spinoff building AI-powered traffic safety and smart infrastructure. We’re a team of passionate innovators, leveraging the latest in AI and technology to transform the future of mobility. Our platform enhances road safety and traffic management by turning real-time data into actionable insights for cities and road operators. Our patented technology collects and analyzes data from connected sensors like cameras, radar, and traffic signal controllers to help predict and prevent road incidents. We deploy edge and cloud solutions that make intersections and highways safer and smarter.
Role Overview
We are looking for a dynamic and results-driven Regional Sales Manager to drive revenue growth in the U.S. Northeastern Quadrant market. You will be responsible for selling Derq’s intelligent transportation solutions to state, county, and municipal agencies, and partners. Reporting to the EVP of Sales, you will execute sales strategies, build strong relationships, and drive opportunities from prospecting to close.
Key Responsibilities
- Build strong knowledge of Derq’s solutions and confidently position them to customers
- Develop and execute sales plans to achieve revenue and growth targets
- Build trusted relationships with government entities, customers, and key decision-makers
- Identify and develop new business opportunities through market outreach, partnerships, and referrals
- Manage and grow channel partners and strategic business relationships
- Lead and support responses to RFPs, RFIs, and other commercial opportunities
- Maintain strong market awareness, including customer needs, industry developments, and competitors
- Represent Derq at industry events, conferences, customer meetings, and speaking engagements
- Maintain an accurate sales pipeline and CRM to support forecasting, prioritization, and decision-making
Requirements
- 7+ years of experience selling Intelligent Transportation Systems (ITS) solutions and/or AI-driven transportation technology to U.S. government agencies
- 2+ years of experience in technical sales
- Proven ability to manage distribution partners and grow customer accounts
- Entrepreneurial mindset with a team-oriented and collaborative approach
- Experience working remotely with minimal oversight with proven decision-making skills
- Strong communication, problem-solving, and relationship-building skills
- Ability to work in a fast-paced environment and manage multiple priorities effectively
- Must be based in the U.S. Northeastern Quadrant
- Willingness to travel up to 50% within the U.S.
If you’re driven, proactive, know how to open doors and build strong customer relationships, and you’re ready to grow our presence in the region, apply now!
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Derq is an award-winning, MIT-spinoff Artificial Intelligence company dedicated to eliminating road fatalities and fundamentally advancing smart city infrastructure through next-generation Intelligent Transportation Systems (ITS). Founded in 2016 and headquartered in Ann Arbor, Michigan, with a major hub in Dubai, the company operates at the absolute cutting edge of urban mobility. Under the hood, Derq utilizes a proprietary, hardware-agnostic platform powered by advanced computer vision, machine learning, and sensor fusion techniques. Their flagship solutions—Derq SENSE and Derq INSIGHT—seamlessly integrate with existing municipal infrastructure like CCTV cameras, radar, and traffic signals to detect, track, and actually predict road user intent in real-time, regardless of lighting or weather conditions. Their primary target audience spans progressive municipal governments, transportation agencies, and smart city planners desperately seeking to move from reactive traffic management to proactive, data-driven collision prevention. What sets Derq apart in the rapidly evolving mobility tech space is its ability to extract incredibly granular, high-fidelity safety analytics (ATSPMs) and instantly broadcast V2X (Vehicle-to-Everything) messages, directly bridging the gap between legacy road infrastructure and the future of autonomous driving.
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