Build Mesh’s financial governance platform from the ground up, partnering with founders and customers to architect and ship backend infrastructure, AI agentic workflows, enterprise integrations, data pipelines, spreadsheet interpretation, evaluation systems, and auditability tooling. The role owns problems end-to-end, from customer discovery and product design through production deployment and iteration, while operating across AI systems, developer tooling, and enterprise software.
About Mesh
Why Mesh
The Role
What You'll Build
What You'll Bring
Nice to Have
Our Stack
Why Join Now
Come build it with us.
Every company has operational systems that capture what happened across the business.
Every company has an ERP that records the financial outcome.
Between them sits something surprisingly fragile: the financial logic that determines how operational reality becomes financial truth.
Today, that logic lives in spreadsheets, approval chains, tribal knowledge, and the heads of experienced accountants.
Mesh is building the governance layer for financial logic. We ingest operational data, orchestrate AI and human workflows, apply company-specific accounting policies, and produce governed, explainable financial outputs that CFOs, controllers, auditors, and boards can trust.
We believe the governance layer for financial reasoning will become foundational infrastructure for every AI-native enterprise.
Accounting is one of the last major enterprise workflows still held together by spreadsheets, not because the industry resists change, but because every business has thousands of edge cases that traditional software couldn't model.
Our founders have spent years building financial software alongside accounting teams.
Our moat isn't access to foundation models. It's the governance layer built on top: financial policy engines, workflow infrastructure, enterprise integrations, evaluation systems, audit trails, and years of accumulated customer knowledge.
We're looking for a Founding Engineer to help build Mesh from the ground up.
You'll work directly with the founders to architect the platform, talk to customers, design new product primitives, and ship systems that become the foundation of the company. You'll own problems end-to-end, from the first customer conversation to production.
We're intentionally building an unusually small team to solve an unusually difficult problem. We believe exceptional companies are built by exceptional builders, not large organizations.
- Financial policy engines that translate accounting judgment into executable workflows.
- Agentic systems that gather evidence, coordinate stakeholders, and operate within governed approval boundaries.
- Workflow infrastructure connecting humans, AI, and enterprise systems.
- Spreadsheet interpretation and policy modeling that turns institutional knowledge into durable software.
- AI evaluation infrastructure for reliable, explainable production systems.
- Enterprise integrations and data pipelines across ERP, procurement, AP, HRIS, billing, and operational systems.
- Auditability and governance tooling that makes every financial decision explainable, reproducible, and trusted.
You'll work across backend infrastructure, AI systems, developer tooling, and enterprise product design.
Customer obsession — You start with the customer, followed by the architecture. You enjoy understanding how people actually work before deciding how software should work.
First-principles thinking — You simplify complex systems by understanding their fundamental constraints rather than copying existing solutions.
Taste for simplicity — You enjoy turning messy workflows and complex domains into elegant abstractions.
End-to-end ownership — You move comfortably from customer conversations to product design, implementation, production, and iteration.
High agency — You investigate ambiguity, develop strong opinions, and move difficult problems forward.
Strong systems judgment — You know how to build reliable systems that balance correctness, speed, maintainability, and scale.
AI-native engineering — You use AI to dramatically increase your leverage while recognizing that great engineering comes from judgment, not generated code.
Love of difficult production problems — You enjoy debugging failures that span infrastructure, data, product logic, and human workflows.
We care far more about judgment, curiosity, and rate of learning than checking every box on a resume.
- Experience building backend infrastructure, workflow engines, developer tools, or large-scale data systems.
- Experience with AI agents, evaluation systems, or human-in-the-loop products.
- Familiarity with enterprise software, financial systems, or accounting workflows.
- Curiosity for learning difficult domains and building products experts trust.
- Backend: Python, FastAPI, SQLAlchemy, PostgreSQL, Celery
- Frontend: React, TypeScript, Tailwind, Vite
- AI: LLM-powered agentic workflows (Anthropic, OpenAI)
- Infrastructure: AWS (ECS, RDS, S3, Lambda)
We value strong engineering fundamentals over attachment to any particular framework or language. While this is our current stack, we are looking for engineers who are stack-agnostic, learn quickly, and choose the right tools for the problem.
AI is embedded throughout both our product and our engineering workflow. We expect engineers to actively improve their own developer experience: automating repetitive work, building internal tools, creating reusable workflows, and using AI to increase the speed and quality of their output.
Mesh is already powering live month-end close for enterprise customers. The product is real, the customers are real, and the most important technical decisions are still ahead of us.
The engineers who join now will shape the architecture, product, engineering culture, and long-term direction of the company.
We believe the governance layer for financial logic will become a foundational part of the modern enterprise stack.
We're building it with a remarkably small team.
Mesh San Jose, California, USA Office
San Jose, CA, United States
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