About the role
About the Role
Join us to build real, measurable operational improvements for our portfolio companies. You’ll pair sharp analytical thinking with AI-assisted development (Cursor, Claude, Copilot, etc.) to prototype, ship, and iterate quickly. This is a hands-on, impact-first role where you’ll talk with business users, understand pain points, and deliver software that moves the needle.
What You’ll Do
- Build operational tools (data pipelines, internal apps, automations) that remove bottlenecks across multiple companies.
- Leverage AI coding assistants to accelerate delivery—speed and problem-solving > rote syntax.
- Map and analyze processes, spot inefficiencies, and propose pragmatic fixes.
- Prototype fast, iterate faster—ship MVPs, measure outcomes, refine.
- Partner with non-technical stakeholders to gather requirements, demo solutions, and drive adoption.
- Quantify impact—baseline → intervention → lift, and communicate results clearly.
What We’re Looking For
Required
- Degree: Bachelor’s or higher in Applied Math, Engineering, Statistics, Computer Science, Physics, or a related quantitative field (Master’s an asset).
- Canadian academic standing: First-Class / A- average (≈ 80%+) or Dean’s Honours (roughly 3.7+/4.0 or 3.8+/4.33).
- Strong communication skills (required):
- • Clear written docs (one-pagers, PRDs, readmes) and concise stakeholder updates.
- Confident verbal communication—can demo, negotiate scope, and translate tech to business.
- Analytical problem-solver who can break down ambiguous problems into testable steps.
- Some coding exposure (coursework/projects); comfortable using AI tools to write and refactor code.
- Curiosity and speed—bias to action, rapid learning, and evidence-based decisions.
Preferred
- Python, SQL, or JavaScript experience (projects, co-op, capstone).
- Data analysis/optimization/simulation exposure.
- Familiarity with AI tools (ChatGPT/Claude/Copilot/Cursor).
- Internship or co-op in consulting, finance, ops, or tech.
What Makes This Role Unique
- AI-first delivery: Build faster than traditional teams by leaning into modern agents and copilots.
- Immediate business impact: Your software affects operations and profitability-quickly.
- Variety: Different industries, datasets, and ops challenges-no two weeks the same.
- Mentorship from experienced operators and technologists.
Communication Is Core (What “Strong” Means Here)
- Discovery: Run crisp requirements calls; confirm success criteria in writing.
- Docs: Ship short, structured briefs (Problem → Approach → Risks → Metrics).
- Demos: Tell a clear story: baseline → solution → impact, with live walkthroughs.
- Change management: Write release notes, onboarding checklists, and quick-start guides that non-technical users love.
- Stakeholder alignment: Propose trade-offs and timelines without jargon.
We welcome brilliant problem-solvers from diverse backgrounds—if you can communicate clearly, learn fast, and deliver with AI, you’ll thrive here.
About the role
About the Role
Join us to build real, measurable operational improvements for our portfolio companies. You’ll pair sharp analytical thinking with AI-assisted development (Cursor, Claude, Copilot, etc.) to prototype, ship, and iterate quickly. This is a hands-on, impact-first role where you’ll talk with business users, understand pain points, and deliver software that moves the needle.
What You’ll Do
- Build operational tools (data pipelines, internal apps, automations) that remove bottlenecks across multiple companies.
- Leverage AI coding assistants to accelerate delivery—speed and problem-solving > rote syntax.
- Map and analyze processes, spot inefficiencies, and propose pragmatic fixes.
- Prototype fast, iterate faster—ship MVPs, measure outcomes, refine.
- Partner with non-technical stakeholders to gather requirements, demo solutions, and drive adoption.
- Quantify impact—baseline → intervention → lift, and communicate results clearly.
What We’re Looking For
Required
- Degree: Bachelor’s or higher in Applied Math, Engineering, Statistics, Computer Science, Physics, or a related quantitative field (Master’s an asset).
- Canadian academic standing: First-Class / A- average (≈ 80%+) or Dean’s Honours (roughly 3.7+/4.0 or 3.8+/4.33).
- Strong communication skills (required):
- • Clear written docs (one-pagers, PRDs, readmes) and concise stakeholder updates.
- Confident verbal communication—can demo, negotiate scope, and translate tech to business.
- Analytical problem-solver who can break down ambiguous problems into testable steps.
- Some coding exposure (coursework/projects); comfortable using AI tools to write and refactor code.
- Curiosity and speed—bias to action, rapid learning, and evidence-based decisions.
Preferred
- Python, SQL, or JavaScript experience (projects, co-op, capstone).
- Data analysis/optimization/simulation exposure.
- Familiarity with AI tools (ChatGPT/Claude/Copilot/Cursor).
- Internship or co-op in consulting, finance, ops, or tech.
What Makes This Role Unique
- AI-first delivery: Build faster than traditional teams by leaning into modern agents and copilots.
- Immediate business impact: Your software affects operations and profitability-quickly.
- Variety: Different industries, datasets, and ops challenges-no two weeks the same.
- Mentorship from experienced operators and technologists.
Communication Is Core (What “Strong” Means Here)
- Discovery: Run crisp requirements calls; confirm success criteria in writing.
- Docs: Ship short, structured briefs (Problem → Approach → Risks → Metrics).
- Demos: Tell a clear story: baseline → solution → impact, with live walkthroughs.
- Change management: Write release notes, onboarding checklists, and quick-start guides that non-technical users love.
- Stakeholder alignment: Propose trade-offs and timelines without jargon.
We welcome brilliant problem-solvers from diverse backgrounds—if you can communicate clearly, learn fast, and deliver with AI, you’ll thrive here.