Solutions Engineer (Technical Sales) at Miovision
- Company: Miovision
- Location: United States
- Job type: full time
- Workplace: remote
- Posted: 2026-09-23
Job description
About Miovision: At Miovision, we’re unlocking transportation networks that move you. Our vision and mission is to enable smart, fast, safe communities that simply flow, as we drive the Intelligent Mobility Revolution. Backed by the world’s most advanced traffic AI, Miovision’s innovations in traffic signal planning and operations are making it possible for cities to improve the transportation experience for drivers, cyclists and pedestrians. Our values drive us. They’re at the core of everything we do. If they align with yours, proceed through the GREEN light! All in to win: We're driven by a winning mindset, approaching every challenge with intensity, clarity, and speed. One Miovision: We succeed as one team, uniting diverse talents, building on trust, and putting our shared mission before ego. Be better every day: We're committed to continuous growth, staying curious, building mastery, and embracing challenges as learning opportunities. Make it happen: We are proactive and results-driven, taking ownership, acting with urgency, and focusing on solutions that deliver real impact. Earn the customer: We are deeply customer-centric, focused on earning our customers' partnership every day by delivering exceptional experiences that drive their success. Position Summary: Miovision is seeking a Solutions Engineer to join our V2X team to act as a technical sales consultant, core builder and technical solutions architect bridging customer needs, product capabilities, and software engineering principles. In this role, you will tackle complex operational problems, assess infrastructure, systems, data, and technical constraints, and rapidly prototype and validate solutions that demonstrate tangible value. You will work across the solution lifecycle, from technical discovery and proof of value through field validation and iterative improvement, translating successful approaches into scalable product capabilities, engineering requirements, and operational solutions. Location: This role is open to candidates within the United States OR those based in Canada who are able to work in a hybrid model with our HQ in Kitchener, Ontario. Objectives and Responsibilities: Pre-Sales Support: Provide expert pre-sales technical support for complex hardware and software deployments across customer environments. Rapid Prototyping: Design and implement rapid prototypes or custom workflow proof of concepts to solve complex client challenges that existing solutions do not address, to help secure wins for Miovision. Demos and Presentations: Lead compelling sales presentations and product demonstrations for both technical and executive audiences. Proof of Value (POV) Validation: Own the Proof of Value (POV) documentation to secure the technical win and validate ROI. Solution Mapping: Assess customer infrastructure and map Miovision solutions directly to agency pain points. Training and Change Management: Deliver on-site technical training and lead change management for customer engineers and solution architects. Target Execution: Collaborate directly with Account Executives to hit individual and team sales incentive quotas. Value Discovery: Analyze daily customer operations to uncover new value and accelerate software expansion. Cross-Functional Collaboration: Partner internally with Account Executives, Product Management, and Engineering colleagues to drive technical alignment and support growth opportunities. Ideal Profile: Technical Pre-Sales: Prior experience in solutions engineering, technical consulting, or technical pre-sales and deep knowledge of networking products, hardware/software integration, and rapid prototyping. Domain Expertise: Experience in Intelligent Transportation Systems (ITS), transportation infrastructure, fleet/telematics, or connected vehicle technology. Analytical and Technical Problem Solving: Strong quantitative and analytical skills, with the ability to structure ambiguous technical problems, analyze operational and system data,
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