Product Architect

Senior Technical Leader, Platform & Data Systems_

**Location**: Hybrid (4 days in-office / 1 day remote) — Bangalore, India

**Reports To**: VP of Engineering (Head of India Operations)

**Job Type**: Full-time

**Seniority Level**: Senior / Technical Leadership

**About Mico**

Mico is a Series B-funded AI technology company with over 1,000 customers primarily in Japan. Our flagship product, Mico Engage AI, is a cutting-edge AI-powered customer engagement platform that delivers real-time, multi-channel messaging at massive scale. We are expanding globally with engineering teams across Japan, India, Taiwan, and the Philippines.

**Role Overview**

As a Senior Product Architect for Mico Engage AI, you will own the architectural **vision and execution** of a highly scalable, data-intensive platform powering personalized marketing at scale. Reporting to the VP of Engineering, you will lead system design, collaborate cross-functionally, and mentor engineering teams to build a resilient, AI-enabled multi-channel engagement platform ready for global expansion.

**Responsibilities**
- Lead design and rollout of a horizontally scalable, real-time customer segmentation engine integrating behavioral and profile data.
- Build unified customer profile infrastructure consolidating multi-source data with real-time identity stitching and consent management.
- Collaborate with data science teams to integrate AI/ML models into production workflows, including feature stores, model deployment, and inference orchestration.
- Implement proactive monitoring, alerting, and observability (using tools like NewRelic, Sentry, CloudWatch) for operational excellence.
- Mentor and guide engineering leads and teams in architectural best practices, cloud-native design, and scalable system development.
- Partner with product managers and GTM teams to align architectural decisions with business goals and global rollout strategies.
- Own system maintenance strategies, SLAs, fault tolerance, disaster recovery, and cost optimization initiatives.
- Develop and maintain comprehensive architectural documentation and roadmap to support product growth.

**Required Qualifications**
- 15+ years software architecture experience designing scalable, event-driven distributed systems with large transactional and behavioral data loads.
- Deep expertise with AWS cloud services (Lambda, Kinesis, DynamoDB, Aurora, SQS) and Infrastructure as Code (Terraform, AWS CDK).
- Proven experience architecting customer data platforms, real-time segmentation, or large-scale data pipelines.
- Experience building multi-channel messaging platforms with high throughput and fault tolerance.
- Hands-on development experience in TypeScript/Node.js (Nest.js), React/Next.js, and CI/CD tooling.
- Strong understanding of AI/ML system lifecycle integration and production deployment pipelines.
- Expertise in designing for observability, proactive monitoring, and incident management.
- Knowledge of data privacy and security best practices (GDPR, CCPA) and cloud security mechanisms (AWS Cognito, IAM).
- Excellent leadership, collaboration, and communication skills working with cross-cultural, distributed teams.

**Cloud architecture and operations expertise**
- Architect and implement **cloud-native, scalable systems** primarily on AWS, leveraging services such as Lambda, Kinesis, DynamoDB, Aurora MySQL, SQS, CloudWatch, IAM, and more.
- Design and maintain **automated deployment pipelines** using Infrastructure as Code (Terraform, AWS CDK) integrated with CI/CD tools like GitHub Actions and Amplify Hosting.
- Demonstrated experience in **horizontal scaling**, load balancing, and cost-optimized resource management for high-throughput distributed systems.
- Build and manage **observability and monitoring frameworks** to ensure proactive detection and rapid resolution of issues, utilizing tools such as NewRelic, Sentry, CloudWatch, or equivalents.
- Define and enforce **system reliability and maintenance practices**, including SLAs, SLIs, incident management, disaster recovery strategies, and automated runbooks.
- Familiarity with the **LGTM stack** (Linux, Git, Terraform, Monitoring) or equivalent operational excellence frameworks to support cloud infrastructure.
- Experience collaborating closely with DevOps/SRE teams to ensure smooth production deployments, continuous improvements, and scalable operations.

**Preferred Qualifications**
- Experience with global-scale, multi-region, multi-tenant system architectures.
- Familiarity with streaming analytics, feature stores, and AI model operationalization.
- Prior leadership in scaling SaaS products globally with a focus on customer engagement or marketing tech.
- Comfortable mentoring and upskilling technical teams.
- Strong written and verbal communication skills for diverse stakeholders.
- Proven experience designing products or architectures in marketing technology (Martech), customer engagement, or campaign management domains.
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