Forward Deployed Engineer, Finance
Embedded engineer building AI agents and automation tools to streamline finance workflows like close, reporting, and FP&A for a clean-energy home electrification company.
- Compensation
- Not disclosed
- Location
- North Vancouver, BC
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Solutions engineering
- Posted
Skills
Must have
- 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
- 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 actua
- 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
- 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
- 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 whe
Full description
About Jetson
Jetson is on a mission to accelerate the transition of 100 million homes across North America away from fossil fuels toward sustainable energy use. We believe in a future that is 100% electric and 100% better.
Homes are one of the largest sources of carbon emissions, yet adoption of solutions like heat pumps remains slow due to cost and complexity. Jetson is solving this by building the first fully vertically integrated home electrification company — making clean energy simple, transparent, and affordable.
We rely heavily on technology, automation, and data to scale this impact. At Jetson, we value people who are excellent at their craft, curious about new tools (including AI), and motivated to continuously improve how work gets done.
The Opportunity
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.
Who You Are
- 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.