Member of Technical Staff

Location

Toronto Office (Liberty Village)

Full time

On‑site

Builders

• Base Salary CA $180K – CA $230K
  • Offers Equity

Alloy River builds agentic applied AI for finance and accounting. Accounting today is fragmented, manual, and reactive. We believe it should be intelligent, structured, and operationally decisive. Our mission is to transform finance from a slow, labor‑intensive, reporting function into a real‑time, strategic engine for profit and control.

We re‑architected the general ledger from first principles, and layered automation, workflow orchestration, and applied AI directly into its core. Instead of accountants moving data between tools and managing checklists, our system produces outcomes, surfaces exceptions, and compounds leverage over time. This is not incremental improvement. It is a ground‑up redesign of financial infrastructure for an AI‑native world.

We raised over $30m to date from Portage Ventures, Electric Capital, Elad Gil, and angels like Tobi Lütke, Balaji Srinivasan, and many more. We’re scaling what we do with the best builders, operators, and craftspeople in the world.

You are building the machine underneath the machine. The patterns you create will define how financial data moves and settles across the ledger, and how safely and quickly everyone else can build on top of it. The work spans core system design, integrations infrastructure, and the abstractions that make a growing codebase coherent. Product builders will build on it. Agents will depend on it.

Future teammates will inherit it. It is some of the most important work we do. Financial data holds systems to a standard most software never has to meet - and that standard starts here.

• Own the foundational patterns that govern how financial data moves, matches, and settles - the layer everything else depends on.
• Build the core primitives that product builders extend rather than reinvent: counter party enrichment, object‑arrival matching, transaction reconciliation.
• Build abstractions that let engineers and agents contribute safely, without needing to understand the full complexity beneath.
• Be the architectural authority the team looks to - reviewing approaches, shaping how new work lands, keeping the codebase coherent.

This role requires deep technical foundations and a long track record of building systems that other engineers rely on. It is not a role for generalists who have touched many things lightly. It is a role for someone who has gone very deep, cares deeply about correctness, and understands why the foundational layer matters as much as what runs on top of it.

• 7+ years of engineering experience, with a strong foundation in computer science.
• Deep, practical AI integration into your engineering workflow.
• Deep experience designing and building distributed systems, core platform primitives, or foundational infrastructure.
• Strong instincts for abstraction - you know how to create patterns that are both powerful and hard to misuse.
• An understanding of what it means to build on financial data, with non‑negotiable requirements for accuracy, auditability, and reliability.
• Experience working in a codebase where other engineers depend on your work.
• Comfortable operating with autonomy and forming strong technical opinions.

Bonus experience includes:

• Experience in fintech, accounting software, or financial infrastructure.
• Familiarity with ledger systems, reconciliation, or payment processing.
• Experience building integration infrastructure at scale.
• Experience with workflow engines or state machines.

• Tech:
  Typescript, Go, React, PostgreSQL, MongoDB, Redis, GCP, Pulumi, Kubernetes
• Product:
  Agentic IDEs (Cursor, Claude Code, Codex, etc.), Linear, Figma, Granola

• Small, high trust team that builds together in‑person every day.
• Product, engineering, and end‑user collaboration is tight and direct.
• We prioritize structured thinking and clear abstractions.
• We optimize for long term architectural leverage over short term hacks.
• We ship quickly but care deeply about correctness.
• AI is a core part of how we work -…