Strategic Overview
AI Solutions Engineer at Superside is defined by the responsibilities and candidate requirements in the employer's listing.
The published role emphasizes work such as Join discovery calls with Account Executives and Account Managers to find the real business problem behind a client’s request.
The role is listed for Canada with a remote working arrangement, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This Role
Superside is hiring an AI Solutions Engineer to be the technical partner to our Account Executives and Account Managers before a deal closes. You’ll find out what a client really needs, work out what is technically possible, and design the solution that delivers it, whether the answer is using our creative services team, an AI system, or both.
You start from the customer’s problem, not the product. You understand how this work gets built, you’ve built something yourself, and you can explain how a solution you propose would work across our systems and services with credibility. You’ll report to the Head of FDE and work closely with AEs, AMs, AI Deployment Strategists, engineering, and Product.
Key Responsibilities & Objectives
- Join discovery calls with Account Executives and Account Managers to find the real business problem behind a client’s request.
- Decide whether the answer is creative talent, a system, or both, and match it to our product portfolio, services, and AI tooling partners.
- Design the solution architecture, then scope, price, and write the proposal for systems deals, with engineering and studio input.
- Take every systems deal through the systems review before engineers are assigned.
- Hand sold work to AI Deployment Strategists for delivery, with clear briefs to engineering and studio teams.
- Stay close to larger enterprise accounts after the sale as the leadership voice of the original deal.
- Spot needs that keep recurring and that our portfolio doesn’t cover, and feed them into the product roadmap review.
- Build reusable sales assets (discovery guides, scoping and pricing templates, proposal modules) and run enablement sessions so AEs and AMs can spot and qualify systems opportunities on their own.
Required Qualifications & Candidate Blueprint
- Strong consultative selling skills and real customer empathy: you dig into a customer’s needs, problems, and systems before you propose anything.
- Hands-on experience with agentic software development: you’ve built an agent or a common workflow yourself. You don’t need to be a software engineer.
- Ability to map out the solution and match available tools to customer problems.
Salary & Benefits
The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
Superside is hiring an AISolutions Engineer to be the technical partner to our Account Executives and Account Managers before a deal closes. You’ll find out what a client really needs, work out what is technically possible, and design the solution that delivers it, whether the answer is using our creative services team, an AI system, or both.
You start from the customer’s problem, not the product. You understand how this work gets built, you’ve built something yourself, and you can explain how a solution you propose would work across our systems and services with credibility. You’ll report to the Head of FDE and work closely with AEs, AMs, AI Deployment Strategists, engineering, and Product.
What You’ll Do:
Join discovery calls with Account Executives and Account Managers to find the real business problem behind a client’s request.
Decide whether the answer is creative talent, a system, or both, and match it to our product portfolio, services, and AI tooling partners.
Design the solution architecture, then scope, price, and write the proposal for systems deals, with engineering and studio input.
Take every systems deal through the systems review before engineers are assigned.
Hand sold work to AI Deployment Strategists for delivery, with clear briefs to engineering and studio teams.
Stay close to larger enterprise accounts after the sale as the leadership voice of the original deal.
Spot needs that keep recurring and that our portfolio doesn’t cover, and feed them into the product roadmap review.
Build reusable sales assets (discovery guides, scoping and pricing templates, proposal modules) and run enablement sessions so AEs and AMs can spot and qualify systems opportunities on their own.
What You’ll Need To Succeed:
3+ years in a client-facing role, such as solutions engineering, technical sales, consulting, product, or forward deployed engineering.
Strong consultative selling skills and real customer empathy: you dig into a customer’s needs, problems, and systems before you propose anything.
Hands-on experience with agentic software development: you’ve built an agent or a common workflow yourself. You don’t need to be a software engineer.
Ability to map out the solution and match available tools to customer problems.
A customer-facing or sales background combined with technical depth: you can speak credibly about what the client needs and how it gets delivered.
Experience pricing and scoping deals under real timelines, and working with sales, product, and engineering teams.
High agency: you take ownership and figure things out.
Excellent English verbal and written communication skills.
Bonus: enterprise deal experience, performance marketing or adtech, creative industry experience, founding experience, or AI tools for design and creative.
Compensation
Additional Information
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This opening may suit candidates who can demonstrate experience relevant to the employer's published requirements. Its strongest career signal is the scope of the work itself — particularly Join discovery calls with Account Executives and Account Managers to find the real business problem behind a client’s request. — rather than a generic title alone.
Resume & Application Strategy
For the application, connect specific examples from your experience to the responsibilities and qualifications in the employer's description. Quantify outcomes from comparable work, and place the most relevant evidence near the top of the resume. When the employer explicitly names tools, platforms, leadership scope, or domain experience, use those source terms accurately and in context.
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