Senior Staff Software Engineer

Arteria AI is the agentic backbone of financial services operations. We build AI-powered tools that help tier-one global institutions manage their most complex document workflows faster, smarter, and at scale.

We were founded by lawyers and financial services practitioners who have spent 20+ years solving documentation problems with the world's largest companies. Our team is mission-driven, high-calibre, and moves fast. Financial services is our domain, and documents are our obsession.

Arteria completed its Series B funding round led by Notable Capital (formerly GGV Capital) in October 2023. Other investors include Citi, Illuminate Financial, Information Venture Partners, and BDC Capital. Arteria has received recognition from Gartner (“Cool Vendor” in AI for Banking), CB Insights (Global Top 100 Most Promising FinTechs, 2024, and Global Top 100 Most Promising AI Startups, 2023), and Finovate (Finovate Awards Winner), among others.

Arteria is headquartered in Toronto, with operations in New York and London.

We are hiring a Senior Staff Software Engineer to help shape how our backend platform is built, with a particular focus on how we model and move data. This is a senior individual contributor role, hands-on with Python/Django, with two focus areas: defining and unifying the shared business data model that underpins our product, and helping evolve our ClickHouse-based data product - the real-time data layer powering customer-facing features.

On the data modelling side, you will partner with product teams to bring coherence to the way we represent our core business concepts and address the parts of our architecture that have not kept pace with how the product has grown. On the ClickHouse side, you will help evolve our customer-facing data product, currently moving into production, as a core capability of the platform.

You will set direction on data modelling and architecture, but you will also stay close to the code: writing Python/Django alongside feature teams, reviewing pull requests, and unblocking engineers. We are a small, focused company.

• →Lead the design of shared data models that span product teams, working with engineers and product to align on how the core business concepts of the platform fit together.
• →Set the technical direction for our ClickHouse-based data product as it moves into production: ingestion patterns, schema design, query performance, and operational reliability.
• →Lead the design and implementation of scalable data contracts, APIs, and integration patterns between services.
• →Ship Python/Django code alongside feature teams when the work touches the data layer; review PRs and unblock engineers.
• →Establish the patterns and standards for how data flows from our transactional Postgres systems into ClickHouse to power customer-facing features.
• →Identify and pay down data architecture tech debt incrementally, in coordination with product teams’ roadmaps.
• →Act as the senior technical voice on data architecture, mentoring engineers and improving how we approach data modeling and integration patterns across the organization.

• You bring 10+ years of professional software engineering experience, including a meaningful period operating at Staff or Principal Engineer level. You have significant experience with data-intensive systems.
• You have a strong hands-on engineering background. You write code today and want to keep doing so.
• You have a product mindset: you care about how the systems you build show up in the customer experience, not just whether they're technically correct.
• You have experience improving service boundaries or backend architecture in a growing product codebase.
• You have strong Python skills; familiarity with Django (or a comparable framework) is a plus.
• You have a track record of driving cross-team technical alignment.
• You are eager to use AI tools to accelerate your own engineering work and inclined to share effective practices with the team.
• You have a genuine interest in mentoring other engineers.
• You have a sensibility for the data correctness, audit, and integrity expectations of regulated industries (finance, healthcare, or similar).
• You are a self-starter, comfortable operating at the senior level in a growing company and flexing across responsibilities as needed.

• You have a background working with contract, document, or unstructured data-heavy domains.
• You have experience designing shared data models that span multiple product teams in an enterprise SaaS or regulated environment.
• You have built or operated customer-facing data products (features where customers see and interact with their data) rather than purely internal BI.