Python Back Jobs in Vancouver, BC (NOW HIRING)

We're building a new kind of role to help us scale: the Forward Deployed Engineer (FDE). The title was originally coined for engineers embedded with external customers, and we've pointed that model inward. As an FDE on our Finance team, your customers are Jetson's own teams. You'll sit with them, learn their work deeply, and build the agents, tools, and automations that change how they operate.
Instead of routing every request through a central engineering backlog, we put engineers inside the teams that need help. You hear the problem firsthand, build the fix, and iterate the next day. FDEs across functions build on a shared internal platform alongside core engineering, so every automation you ship makes the next one faster. The more we deploy, the faster we can deploy.

• A builder who ships. Strong engineering fundamentals, good judgment, and a drive to get things into people's hands. You're fluent in TypeScript, Python, or other high-level language, comfortable with SQL, APIs, and cloud tooling, and you write code others can build on. You value breadth and speed over deep specialization.
• An excellent communicator. This is what separates the role from a typical SWE job and brings it closer to a PM. You can sit with accounting, FP&A, and leadership stakeholders, draw out what they actually need (often not what they first asked for), explain tradeoffs, and drive a project to adoption.
• A fast learner who's excited by the domain. You're energized by getting deep into how Finance works: its workflows, systems, and constraints. Familiarity with financial workflows like close, reporting, or FP&A, or with an ERP (we use NetSuite), is a plus, but what matters more is the drive and ability to learn it fast. You ask good questions, make reasonable assumptions, handle sensitive data with care, and iterate as reality pushes back.
• AI-native. AI is core to how you build, not a novelty. You use tools like Claude Code or Cursor to move faster, and you know when to trust the model and when to push back. You've built agentic and LLM-powered features, and you understand the real challenges: latency, cost, reliability, evaluation, and graceful failure.
• Comfortable without a playbook. You thrive where the problem isn't fully defined. You'd rather ship something useful this week and improve it than perfect it for a quarter. You measure yourself by whether the team is faster and more capable because of what you built, not by lines of code.

• Embed and learn the domain. Sit with the team and build real fluency in how Finance runs across a multi-entity business spanning the US and Canada: the monthly close and its reconciliations, financial and management reporting, rebate accounting, AP/AR, and FP&A. This is the core of the job, not background context.
• Build agents that automate real work. Find finance workflows that AI agents can handle or accelerate, then design, build, and ship them. For example, an agent that assembles the monthly close checklist and flags anomalies, or one that reconciles rebate flows end to end. Know where an agent earns its keep versus where a simple script is cheaper and more reliable.
• Connect systems and keep data flowing. Much of the team's friction is manual handoffs between systems. You'll build and maintain integrations and automations that keep financial data flowing accurately between NetSuite, spreadsheets, and Jetson's data platform, so the numbers reconcile and reporting stops being a manual pull.
• Build dashboards and tools. Give Finance and leadership clear, real-time visibility: margin by market and by job, cash position and AR/AP aging, budget-versus-actual, and a live view of where the close stands. Replace recurring hand-maintained spreadsheets with live dashboards and tools.
• Always be scoping. Question requirements directly with the team. The best solution is often smaller than the original ask, or solves the real problem another way. Ship value now, iterate from there.
• Generalize into the platform. Push reusable capabilities into the shared internal platform alongside other FDEs and core engineering, rather than piling up one-off scripts. Weigh hacking something for Finance today against building something ten teams use tomorrow.

• Become a rare kind of engineer. Few people can connect a messy real-world domain, the data under it, and software people actually adopt. You'll build exactly that profile, which is one of the most valuable in the industry right now.
• See the whole business. Embedded in Finance and plugged into the core platform, you'll understand how Jetson works end to end, with a front-row seat to the economics of the business. That makes you a stronger engineer and a sharper decision-maker.
• Help define a new discipline at Jetson. We're early in understanding how AI changes what a small team can do. You'll set the patterns, platform, and standards for how forward deployed engineering works here.

Job Type: Full-time, Permanent

Pay: We are open to considering candidates at several levels. Our compensation is structured to meet or exceed the market standard.

Benefits:

• Dental Care, Vision Care & Life Insurance premiums fully paid by Jetson
• Extended Health Care
• Disability Insurance
• Education Support
• Parental Leave Top Up
• Equity

Work Location: In person - North Vancouver, BC