Sales Executive – Transport Analytics | Public Sector

Iopa Solutions; United States; Remote; USD 220,000 - 225,000; Full time

Job summary

A leading company in transport analytics is seeking a Sales Executive to expand its public sector presence. This remote role involves selling innovative SaaS solutions that enhance transportation efficiency. Ideal candidates will have SaaS sales experience and strong communication skills to foster relationships with government entities. Join a mission-driven, high-growth team making a real impact on public infrastructure.

Benefits

Uncapped commissions

Clear career progression

Flexibility to work from anywhere in the U.S.

Qualifications

• 3–7+ years of SaaS sales experience.
• Strong track record selling into public sector transportation.
• Network in local/state agencies or familiarity with procurement cycles.

Responsibilities

• Own and grow a pipeline of public sector clients.
• Sell a cutting-edge transportation analytics platform.
• Lead the full sales cycle from prospecting to close.

Skills

SaaS sales experience

Excellent communication skills

Proposal writing

Presentation skills

Data-driven decision making

Job description

Sales Executive – Transport Analytics | Public Sector

Sales Executive – Transport Analytics | Public Sector

2 days ago Be among the first 25 applicants

This range is provided by Iopa Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$220,000.00/yr - $225,000.00/yr

Direct message the job poster from Iopa Solutions

Are you passionate about smart mobility, public infrastructure, and the future of connected transport? Have you sold SaaS solutions into the public sector, working with cities, transit agencies, or DOTs?

We’re hiring a Sales Executive to join a high-growth team delivering transformational transport analytics solutions that power smarter, safer, and more efficient transportation networks across the U.S.

This is a remote role with nationwide scope—perfect for someone who knows how to navigate the public procurement process, build long-term trust with public officials, and communicate the value of intelligent transport systems and mobility data.

What You’ll Do:

• Own and grow a pipeline of public sector clients: cities, municipalities, DOTs, and transit agencies
• Sell a cutting-edge transportation analytics platform that delivers real-time data, predictive insights, and mobility intelligence
• Lead the full sales cycle—from prospecting and RFPs to demo, proposal, and close
• Collaborate with marketing, product, and solutions engineering to tailor messaging and ensure fit
• Stay current with trends in smart cities, traffic management, and multimodal transport

What You Bring:

• 3–7+ years of SaaS sales experience, with a strong track record of selling into public sector transportation or related markets
• A network of contacts in local/state agencies or familiarity with procurement cycles, public funding, and government sales processes
• Passion for transportation innovation and the role of data in public planning
• Excellent communication, proposal writing, and presentation skills
• Driven, self-motivated, and comfortable in a remote, high-trust, goal-oriented culture
• Work at the forefront of smart mobility and sustainable transport
• Sell a market-leading solution that’s already helping shape policy, improve safety, and reduce congestion
• Competitive base salary, uncapped commissions, and clear career progression
• Join a mission-driven, collaborative team where your voice and impact truly matter
• Flexibility to work from anywhere in the U.S. while making a difference nationwide

Transform how cities move.

If you're a public sector SaaS sales pro with a passion for transportation, let's talk.

Apply now or message for a confidential chat.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Sales and Business Development

• Industries

  Data Infrastructure and Analytics and Technology, Information and Media

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