About Meeru AI
Meeru AI is building an AI-native platform that transforms how finance and accounting teams operate. We connect to enterprise financial systems — ERPs, CRMs, billing platforms, HRIS — and apply machine learning to turn fragmented operational data into grounded, auditable intelligence for CFOs, controllers, and FP&A leaders.
We deploy on customer terms — SaaS multi-tenant, SaaS single-tenant, and on-premises — across AWS, Azure, and GCP. Our customers are Fortune 500 finance teams who require data isolation, auditability, and compliance.
The Role
We are looking for an Architect / Senior Architect to own the end-to-end technical architecture of our AI-native, multi-cloud-ready, multi-tenant-ready platform. You are the highest technical authority on how the platform is built.
You own the architecture across every layer — from the customer-hosted data foundation, through the core computation and AI services, to the application and review experience — and the contracts that hold them together. You set the standards, make the build-vs-configure calls, and keep the system portable across customers, domains, and clouds.
This is a hands-on architecture role, not an ivory-tower one: you write reference implementations, run design reviews, and sit in tight loop with Product, founders, and customer stakeholders to align architecture with a fast-moving domain.
What makes this role different
You are not architecting generic SaaS. You are designing a system that deploys into enterprise finance environments and produces output that sits next to externally reported financials — which means correctness, traceability, and auditability are first-class architectural requirements, with strong guardrails that keep verifiable results clearly separated from AI-generated suggestions that require human review, plus the data isolation and multi-cloud portability that Fortune 500 finance teams demand.
Requirements
• 10+ years building production backend or data systems. Including significant time at Staff, Principal, or Architect level, where you owned system-level design decisions end to end.
• Multi-tenant, cloud-native platform design. You've architected platforms with strong tenant isolation and security. Ideally, some of them deployed into a customer's own cloud account or data center.
• Deep fluency in at least two of AWS, Azure, and Google Cloud. Plus hands-on Kubernetes and Terraform, and a habit of designing for portability rather than lock-in.
• A gift for configuration-driven abstractions. You design systems where onboarding a new customer or business domain is a configuration change, not a code fork.
• Data depth across the stack. Relational and warehouse data modeling, strong SQL, and backend service design.
• Practical ML and LLM fluency. Enough to architect how models and managed LLMs (such as Bedrock, Vertex AI, or Azure OpenAI) plug into a production system safely.
• Instincts for correctness, traceability, and auditability. You treat "where did this number come from?" as an architectural requirement, and you keep verified results clearly separate from AI-generated suggestions.
• Hands-on technical leadership. You write reference implementations, run design reviews, resolve cross-team trade-offs, and mentor senior engineers.
• Close partnership with Product, founders, and customers. You translate business and domain logic into reusable platform components and can hold your own in enterprise architecture and security reviews.
• Hybrid in the San Francisco Bay Area. You'll work in person regularly with the founders and product team.
Nice-to-haves
• Finance, accounting, or fintech background. You understand how financial statements are built and reconciled, and the controls and audit expectations around them.
• Modern data stack experience. dbt or Airflow-style transformation pipelines, and Snowflake or PostgreSQL in production.
• Enterprise compliance experience. You've supported SOC 2 or ISO 27001 audits and customer security reviews.
• Shipping into environments you don't control. You've built platforms that install and upgrade cleanly in customer-managed clouds or on-premises.
Skills Required
- 10+ years building production backend or data systems, including significant Staff, Principal, or Architect-level experience owning end-to-end system design decisions.
- Experience architecting multi-tenant, cloud-native platforms with strong tenant isolation and security.
- Experience deploying platforms into customer-owned cloud accounts or data centers.
- Deep fluency in at least two of AWS, Azure, and Google Cloud.
- Hands-on experience with Kubernetes and Terraform.
- Experience designing configuration-driven abstractions that avoid customer-specific code forks.
- Strong relational and warehouse data modeling, SQL, and backend service design skills.
- Practical machine learning and LLM architecture experience for safe production systems.
- Experience designing for correctness, traceability, auditability, and separation of verified results from AI-generated suggestions.
- Hands-on technical leadership, including reference implementations, design reviews, trade-off resolution, and mentoring senior engineers.
- Ability to partner with Product, founders, customers, and enterprise security stakeholders.
- Ability to work hybrid in the San Francisco Bay Area and regularly in person.
- Finance, accounting, or fintech background.
- Experience with dbt or Airflow-style transformation pipelines and Snowflake or PostgreSQL.
- Experience supporting SOC 2 or ISO 27001 audits and customer security reviews.
- Experience shipping, installing, and upgrading platforms in customer-managed clouds or on-premises environments.
What We Do
MeeruAI builds an AI-native finance platform for CFO organizations, connecting enterprise systems such as ERPs, CRMs, billing platforms, and HRIS to turn fragmented operational data into grounded, auditable intelligence. Its agentic workflows help automate accounting close, journals, and reconciliations, explain financial variances, and surface insights for finance leaders. The platform supports SaaS and on-premises deployment, with controls, access safeguards, and auditability designed for enterprise finance teams.
