Technical Product Manager

About us Caizin, headquartered in Pune, India, with offices in Redmond, WA, is a software product

development company specializing in bringing Saas product ideas from concept to customers.

From products in the Manufacturing domain, Caizin has now taken 3 Saas products to the Indian,

Leadership in product management, design, and technology, backed by successful entrepreneurial

journeys and subsequent existence of our leaders, puts us in a unique situation to help product Ideas reach the intended customers better and faster.

Technical Product Manager – Platform Engineering (Data Platform Focus)

Location: Pune, India | Type: Full Time

As a Technical Product Manager (TPM) in the Platform Engineering team, you will be

responsible for defining, delivering, and scaling the internal data platform capabilities that

capabilities around data ingestion pipelines, scalable storage systems, archival and retention

workflows, lifecycle policies, and export mechanisms. Define the vision, roadmap, and KPIs for data platform components such as ingestion, storage,

scale, performance, or cost optimizations.

• o Real-time and batch data ingestion connectors.

o Multi-tiered storage architecture and capacity planning.

o Time-bound archival and deletion strategies based on data classification and compliance.

o Scheduled and on-demand export pipelines (to S3, Redshift, Snowflake, etc.).

• availability, performance, and cost.

• Data Governance and Lifecycle Management

• Define and implement policies for data classification, retention, expiration, and archival

Ensure lifecycle policies are automated, audit-ready, and aligned with internal governance

and external regulatory requirements.

• Coordinate with legal and compliance teams for ongoing review and audit support.

Serve as the single point of contact for product teams who rely on platform data services.

• Maintain a high-feedback loop from consuming teams and translate learnings into backlog

items or roadmap shifts.

Cost & Performance Optimization

• Track data growth trends, storage costs, and ingestion pipeline performance across

Proactively identify hotspots, cold data opportunities, and compression strategies.

Ensure all data pipelines, storage, and exports adhere to enterprise-grade security

practices, including encryption at rest, access controls, and data masking where required.

• Work with InfoSec to address vulnerabilities, enforce secure data export practices, and

Maintain detailed internal documentation that outlines platform APIs, schemas, data models,

technical and non-technical audience.

• and scalable assets that accelerate internal development velocity and reduce

Platform Roadmap and Backlog

A well-groomed, prioritized backlog with clear technical specs, acceptance criteria,

Comprehensive specs for ingestion pipelines, storage tiering, archival policies, and

data export services.

SLA definitions for ingestion throughput, data availability, retention windows, and

publishing to ingestion topics, triggering data exports).

Quarterly planning inputs, dependency matrices, rollout plans, and status trackers

shared with infra, security, and product leads.

Sprint & Release Planning

Manages timelines and dependencies across infra, SRE, data engineering, and

Risk & Blocker Management

Leads mitigation planning and escalation to leadership where needed.

Tracks progress across feature phases (design, development, testing, rollout).

Owns delivery of pilot rollouts, adoption enablement, and full-scale launches.

Quality & Go-Live Readiness

lead time, backlog burn-down, adoption rate, SLA

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