As an AI Solutions Sales Consultant, you will engage clients, identify AI opportunities, manage the sales cycle, and drive revenue growth for AI solutions in the transport and logistics sector.
We build the tech that moves industries forward. We have our eyes set on AI, energy, logistics, sports and other complex and exciting segments.
We believe in an innovative approach to solving deep issues and encourage our people to find their own solutions. We are constantly rethinking processes, business models, architecture, and tech stacks.
We foster a sense of curiosity, experimentation, and passion beyond code. With us, you can easily deepen your knowledge in any field you’re curious about. And because we work across many industries, you’ll be gaining the experience others can only dream of.
As a AI Solutions Sales Consultant, you’ll play a client-facing, revenue-driving role, owning discovery, qualifying opportunities, and selling high-value AI solutions and business automation. You’ll use business analysis as a tool to uncover pain, build trust, and close deals, while guiding clients toward scalable, outcome-driven solutions.
In this role you will
- Prospect and engage Transport & Logistics Industry organizations to identify AI and digital transformation opportunities
- Lead discovery and qualification conversations with business owners and senior stakeholders
- Sell AI audits and AI agent deployments
- Own the full sales cycle from first contact to close, including proposal development and commercial discussions
- Build and manage a qualified pipeline and contribute directly to revenue targets
- Ask the right questions to uncover operational inefficiencies, bottlenecks, and growth constraints
- Translate business challenges into clearly scoped, value-driven AI and technology solutions
- Define high-level business processes, requirements, and success metrics to support solution design
- Act as a bridge between clients and delivery teams to ensure alignment on scope, outcomes, and expectations
- Support onboarding and early implementation phases to ensure adoption and measurable impact
- Build trusted advisor relationships with clients post-sale
- Identify upsell and expansion opportunities as client needs evolve
- Ensure clients clearly understand the value delivered and outcomes achieved
What you will bring
- 3+ years of experience in B2B sales, consulting, or solution selling (technology, services, or complex offerings).
- Proven ability to lead discovery, handle objections, and close complex, consultative deals.
- Strong business acumen with the ability to discuss operations, growth, and ROI with executives.
- Excellent communication and stakeholder management skills across technical and non-technical audiences.
- Fluency in English.
- Deep industry expertise in Transport & Logistics (logistics, freight, or transportation) that allows you to:
- Quickly identify the complex, time-sensitive, and high-stakes operational challenges unique to the industry.
- Speak the client's language and immediately establish trust and credibility.
- Bypass surface-level conversations to guide clients toward scalable AI solutions.
- Ensure solutions deliver measurable ROI in critical areas like fleet optimization, predictive maintenance, and operational efficiency.
- Expected to leverage an existing industry network of contacts to efficiently drive new business development and market penetration.
Nice to have
- Background in business analysis, process mapping, or digital transformation
- Understanding of AI concepts and major LLMs
What we offer
- A working culture that is high performing, ambitious, collaborative and fun
- Competitive pay plans
- Flexible working hours
- Office perks and team activities
Why This Role Is Special
You won’t be selling “software.”
You’ll be selling operating upgrades.
This role rewards people who close, not people who wait.
You won’t be measured by demos booked. You’ll be measured by client success and recurring revenue.
You’ll be part of the team building the AI consulting and AI agent layer for the transport & logistics industry across North America.
If you thrive on ownership, revenue, and real client impact — you’ll do very well here.
If you have any questions, please contact me at jp.paquin@nfq.com or via Linkedin.
Check all our career opportunities here.
Top Skills
Ai Solutions
Business Automation
Similar Jobs
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead scoping, planning, and execution of large-scale sales transformation projects. Drive cross-functional collaboration, change management, KPI-driven reporting, and continuous improvement to increase sales efficiency, forecasting accuracy, and customer/employee experience.
Fintech • Payments • Software • Financial Services
The Chief Revenue Officer will lead revenue growth by unifying Sales and Marketing, managing Customer Success and Partnerships, and ensuring a cohesive end-to-end customer strategy for sustainable growth.
Information Technology
As an Account Representative, you will build relationships with customers, sell technology solutions, and engage in extensive training to progress your sales career at CDW.
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
