Job title: Director of Engineering – Product Development
Location: Pleasanton, CA (Hybrid 3 days on-site)
Job Type: Full-Time
About Meeru AI
Meeru AI is building an AI-native enterprise finance platform that transforms data from ERP, CRM, billing, and HR systems into auditable insights for finance teams. Our platform supports multi-tenant SaaS, single-tenant, and on-prem deployments across AWS, Azure, and Google Cloud Platform.
Role Overview
We are seeking a hands-on Director of Engineering to lead product development, architecture, and engineering execution for our AI-driven enterprise platform. This role will manage distributed engineering teams across the US and offshore locations while partnering closely with Product, AI/ML, and Platform teams.
The ideal candidate has strong experience building scalable SaaS products, leading engineering organizations, and integrating AI/ML capabilities into enterprise applications.
Key Responsibilities
· Own technical architecture and product engineering strategy
· Design scalable multi-tenant SaaS platforms with cloud-agnostic architecture
· Lead backend development using Python, APIs, PostgreSQL, and Redis
· Drive AI/ML and LLM integration into enterprise workflows
· Architect solutions across AWS, Azure, and Google Cloud Platform environments
· Lead code reviews, technical design discussions, and engineering best practices
· Build and manage distributed engineering teams across multiple geographies
· Drive Agile delivery, sprint planning, release management, and execution
· Establish CI/CD, testing, monitoring, observability, and incident management processes
· Partner with Product and leadership teams to deliver enterprise-grade features on schedule
· Ensure scalability, reliability, security, and compliance standards including SOC2, GDPR, and HIPAA
Required Qualifications
· 10+ years of software engineering experience with 5+ years in engineering leadership
· Proven experience building and scaling B2B SaaS platforms from 0→1
· Strong expertise in Python (FastAPI, Django, Flask), PostgreSQL, Redis, and API design
· Deep understanding of multi-tenant SaaS architecture and distributed systems
· Experience with AWS infrastructure; Azure/Google Cloud Platform exposure preferred
· Experience integrating AI/ML, LLMs, or agent frameworks into production systems
· Proven ability to lead teams of 10–20+ engineers across distributed environments
· Strong experience with Agile delivery, engineering processes, and enterprise product launches
· Excellent communication and stakeholder management skills
Preferred Skills
· ERP/Finance systems experience (NetSuite, Oracle, SAP)
· Knowledge of financial workflows including AP/AR, GL, and FP&A
· Experience with LangChain, LangGraph, Kubernetes (EKS/AKS/GKE), Terraform, or Pulumi
· Experience with SOC2/ISO 27001 compliance initiatives
· Startup or high-growth SaaS environment experience
· Experience managing offshore engineering teams