Technical Product Manager
Location: India (Same city/timezone as Engineering team preferred)
Experience: 5–8 years
Employment Type: Full-Time
About the Role
We are seeking a highly motivated Technical Product Manager to drive execution of our Cloud, Data Lakehouse, and GenAI security initiatives. This role is critical to accelerating delivery of integration-heavy, cloud-native capabilities across modern enterprise environments.
You will work closely with our India-based engineering team to translate complex architecture into scalable, customer-ready solutions. The ideal candidate combines strong technical fluency with disciplined execution and the ability to collaborate deeply with architects and engineers in real time.
What You Will Do
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Own end-to-end delivery of Cloud, Data Platform, and GenAI integrations
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Define technically detailed Product Requirement Documents (PRDs), including API contracts, workflows, and edge cases
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Partner daily with engineering on sprint planning, backlog grooming, and technical design discussions
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Drive integrations across AWS, Azure, Databricks, Snowflake, and enterprise AI platforms
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Translate architecture tradeoffs into clear product decisions
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Identify technical dependencies, scalability constraints, and integration risks early
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Work cross-functionally with Sales, Customer Success, and Solutions teams to refine use cases
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Support technical sales discussions with architecture-level credibility
Required Qualifications
Technical Expertise
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Strong working knowledge of Amazon Web Services (AWS) or Microsoft Azure
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IAM, networking, object storage, APIs, cloud-native services
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Familiarity with modern data lakehouse platforms such as:
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Understanding of enterprise GenAI ecosystems including:
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Microsoft Copilot
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ChatGPT (Enterprise)
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Experience defining API-driven integrations
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Strong system design and architectural thinking
Product Management Skills
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5–8 years of product management experience
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Proven experience delivering technical B2B SaaS products
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Ability to write technically rigorous PRDs
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Strong execution discipline and sprint ownership
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Experience working closely with engineering teams in agile environments
Preferred Qualifications
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Background in cybersecurity, data security, DSPM, DLP, or SSE
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Engineering or Computer Science background
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Experience with data discovery, classification, or policy enforcement systems
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Experience supporting enterprise technical sales engagements