Senior Product Engineer

Nomad; Toronto; On-site; CAD 120,000 - 140,000; Full time

Benefits offered by this job

Salary range $120k–$140k CAD

Flexible schedule

Growth opportunities

Team outings

Medical, dental, vision benefits

Job summary

Nomad is seeking a Senior Product Engineer to own end-to-end delivery of AI-driven SaaS features, defining the patterns, conventions, and review standards the team will follow. You’ll ship work from vague customer problems through design, build, and monitoring with strong ownership and accountability.

You’ll thrive in a startup environment, balancing minimal process with a high standard for quality and scalability.

Qualifications

• 4-7 years shipping production software with ownership of a domain
• Startup and SaaS experience in fast-paced, high-ownership environments
• Fluency with modern AI-assisted and agentic development tools and reusable patterns

Responsibilities

• Turn vague problems into validated tickets and own them through design, build, ship, and monitor.
• Set architectural patterns, AI/agent conventions, and review standards for the team.
• Own the area you work in so it stays healthy when you focus elsewhere.
• Make informed decisions on when AI should touch code or data and justify them.

Skills

Domain ownership

Startup experience

SaaS products

End-to-end ownership

Tools

AI tools

Job description

Nomad is building the financial operating system for fleets: fuel cards, real-time transaction processing, invoicing, and working-capital finance, increasingly automated by production AI. We are a small, fast-moving team that cares deeply about doing right by our customers, which in our business means getting the numbers exactly right, every time.

About the Role

Nomad runs a lean, AI-native engineering team by design - small, high-ownership, and built to force-multiply with the best tools available rather than scale headcount. As a Senior Product Engineer, you don't just own your own tickets end to end - you set the pattern for how the whole team does it. You turn vague, cross-cutting problems into work other engineers can pick up, you own the AI and agentic conventions the rest of the team inherits, and the standard you set is still being followed you've moved on to the next thing.

This role is ideal for someone who thrives in a startup environment, is comfortable operating with minimal process, and has experience building and scaling SaaS products.

What You'll Own

• The full workflow, not just the ticket: turning an ambiguous problem into a shipped, monitored outcome, using AI and agentic tools as the default way that work gets scoped, built, and verified.
• The pattern other engineers follow - a service's quality bar, its AI/agent conventions, and the review standard - not just your own code.
• A domain you can hand off. When you're heads-down elsewhere, the area you own stays healthy without you.
• The judgment call on what AI should and shouldn't touch in your area, and why - and the accountability when that call is wrong.

What You'll Do

• Take a vague problem statement - from a customer, from Ops or Sales, from a metric that looks wrong - and turn it into a validated ticket, then own it through design, build, ship, and monitor: you watch the number it was meant to move, and you are the first to know when it is wrong.
• Talk to the person who hit the problem before you design the fix - a customer call, an Ops shadow session, a Sales thread - not only when Support escalates it.
• Treat any figure that reaches an invoice, a payout, or a reconciliation report as needing a named source and a second, independent way to check it - when a change touches money, the before-and-after numbers are part of the pull request, not a follow-up.
• Decompose a large, ambiguous change into small, reviewable pull requests instead of landing it big-bang and share at 70% for feedback rather than polishing to 100% in private.
• Use coding agents as your default way of writing code and read every line before it merges - your name on the pull request means you understand what it does and would own the incident it causes.
• Own the agent setup for a repo or service - the instructions, skills, and conventions other engineers inherit - and design the workflows, verification gates and failure paths that other people actually use, not just ones that work for you.
• Review work across services you don't own, and treat "changes requested" as a normal, expected outcome - not a rare escalation.

What We're Looking For

• 4-7 years shipping production software, with real, demonstrable ownership of a domain - not just tickets assigned to you.
• Startup and SaaS experience required, with experience operating effectively in fast-paced, high-ownership environments with minimal process, and building, maintaining, or scaling SaaS products or platforms.
• Fluency with modern AI-assisted and agentic development tools, with evidence you've built something with them that other people now rely on - a shared prompt, a skill, a workflow, a convention.
• A track record of taking ambiguity and turning it into work other people can execute, including work you don't do yourself.
• Comfort reviewing and being accountable for code and systems outside your own immediate area.
• Strong judgment about trade-offs - including the judgment to say no to a shortcut that trades long-term health for short-term speed.
• Experience operating with minimal process in a small team, where your call is usually the only call.

How We Work

We'd rather stay small and force-multiply with the best tools available than scale headcount to solve a tooling problem. That means less specialization, more ownership, and a high bar for judgment at every level - and at Senior, it means the patterns and conventions you set are what everyone else inherits. If you want to be the person whose call on architecture, AI usage, and workflow design becomes the way the team works, this is that role.

What We Offer

• Competitive compensation package of $120,000-$140,000
• Flexible work schedule.
• Growth and development opportunities.
• Team outings and social events.
• Excellent extended medical, dental, and vision benefits plan.

At Nomad, we love using AI to make our processes smarter-it helps us draft engaging job descriptions, organize information, and stay on top of details.

Feel free to use AI tools to prepare, research, or practice for your interview (we see you, ChatGPT fans!). But when it comes to the conversation, we want to meet the real you- no AI substitutes needed. Bring your authentic, unfiltered self, and we promise we'll do the same.

And don't worry- real people are behind every step of our hiring process. Every application is personally reviewed, and you'll always interact with humans throughout interviews. No bots, just genuine connections.