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San Francisco, California, United States
Onsite
Every business relies on accounting. Yet most software in the space was built in the early 2000s — clunky, slow, and far behind the curve on AI. Today, accountants are facing a growing, unsolved data problem as a consequence of complexity, data, and system fragmentation — and they lack the tools to solve it. The problems are real, hard, and increasingly urgent. But they’re solvable.
Enter Numeric — the modern platform for accounting and finance. We're building the platform that realizes the dream of live, rich, trustworthy data and insights for companies to drive decision-making & execution.
We tackle foundational challenges required to automate ingest, transformation, matching, projection, and reporting for an end-to-end graph of financial data. Weaving together data, automation, workflows, and AI-first experiences, we’re empowering accounting teams to own the continuous window into companies' finances and activity.
We have strong product market fit and a growing base of customers who love our product — including Anthropic, Brex, OpenAI, Plaid, Wealthfront, and many more. We’re backed by top-tier investors including IVP, Menlo Ventures, Founders Fund, and 8VC, along with founders and executives from Ramp, Segment, and other category-defining companies.
About the role
Numeric’s product is, at bottom, data: your accounting history, your ability to pass an audit, your capacity to catch mistakes before your auditors do. The Data Infrastructure team builds the financial data plane that makes that possible — the lakehouse that ingests raw data from ERPs, banks, payment processors, and customer warehouses, transforms it into typed canonical tables, and serves it to our accounting modules, reporting engine, and AI agents. We’re mid-way through a deliberate architectural bet (ClickHouse-backed lakehouse, SQLMesh, per-tenant isolation) and it is the layer we expect to carry the most new investment this year. Every engineer on the team owns a slice of the architecture end to end.
What you might work on
Ingestion at scale: incremental, watermark-based extraction from API sources (NetSuite, Stripe, Brex, Ramp, HubSpot…), file-based S3 inboxes, and Postgres → ClickHouse replication — and making each new source cheap to add.
Data contracts & typed source data: stop downstream consumers from touching untyped raw JSON; enforce schemas at the boundary and make datasets discoverable.
Data Lakehouse schema management: a single declare → codegen → apply pipeline so schema intent is codified, reviewable, and applied consistently across tenants.
Data Security: Scoping queries, building ACLs, and ensuring that we never, ever compromise our customer’s trust
Batch processing & event-driven accounting: decouple event processing from downstream failures; give operators clear “what ran, what failed, and why” answers.
Data correctness & observability: completeness checks rooted in platform data, ingestion health, two-phase re-ingest, and explanatory links from ledger entries back to raw events.
Reporting scalability: the query patterns and materializations that let reporting drill from a board-level P&L to a single transaction without falling over.
Tons of other stuff!
You might be a great fit if you…
Have built or operated data pipelines / lakehouse / warehouse systems in production and have opinions about ETLs, idempotency, watermarks, and backfills.
Treat auditability and “fail early, fail explicitly” as design constraints, not afterthoughts.
Are comfortable across the stack: TypeScript services, SQL (ClickHouse and Postgres), and transformation tooling like SQLMesh or dbt.
Like being close to the consumers of your data — accounting module engineers, the reporting team, and agents — and shaping the interfaces they use.
Want to learn how accountants think about source data, completeness, and close, and let that shape what you build.
What you need
3+ years of software engineering experience, with meaningful time on data-intensive systems.
Strong SQL and a working understanding of columnar stores, partitioning, and query performance.
Experience with a modern transformation / orchestration stack (SQLMesh, dbt, Dagster, Airflow, or similar).
Strong general-purpose programming (we’re primarily TypeScript, with Python mixed in).
Nice to have
ClickHouse, Iceberg, or Athena experience.
Multi-tenant data isolation, PII handling, or SOC 2 / audit-driven controls.
Prior exposure to financial or accounting data (ERPs, GL, subledgers).
Experience with orchestration systems like Temporal or Inngest
Stack: TypeScript / Node, Postgres, ClickHouse (ClickPipes), SQLMesh, S3 / Athena, Inngest, AWS.
How we work
This role is in-person in San Francisco.
As an engineer at Numeric you will learn the domain, meet your users, and exercise substantial creativity and agency over product direction. You'll work with a high-pace, high-integrity team that loves collaboration.
We believe the best company is the one with the best ICs and we’ve built a culture to maximize great work. We believe great product & engineering come from a desire to win, a deep care for the craft, and a pragmatism in shipping for overall impact. As engineers we ground our work in our understanding of the users, the domain, and the goals for our organization.
We strongly believe we will only be successful if everyone on the team is anchored in our following set of core principles:
Own the Outcome: We own our results. We typically hire builders and give them large mandates with high-trust. Engineers are responsible not just for code, but for ensuring the product is solving the end problems of the users.
Brick by Brick: To win, our team needs to show up and execute in each domain every day.
Love the Game: We focus on the craft and a deep sense of giving a f*ck. We’re building a company full of people who are equally engaged and motivated.
Earn the right: Our ability to rethink how things are done depends on the trust and reputation we build by shipping quality products and improving the lives of our users.
SALY: We refuse to accept “Same As Last Year.” We bring fresh eyes to a stagnated and underserved domain. We’re driven by a first-principles approach to building better solutions.
Read some of our thoughts on engineering and company-building here.