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Mid-level popular TPM title, metro location, and broad cloud/GenAI skillset drive high candidate competition.
Strong cloud, data lakehouse, and cybersecurity focus makes cross-industry transferability limited.
Explicit 5–8 years plus mandatory cloud, Databricks/Snowflake, GenAI, API and PRD experience raises screening strictness.
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Own end-to-end delivery and execution of Cloud, Data Lakehouse, and GenAI security integration initiatives for enterprise customers.
Define detailed Product Requirement Documents including API contracts, workflows, and edge cases to drive technically scalable solutions.
Collaborate daily with India-based engineering team on sprint planning, backlog grooming, and technical design; support cross-functional teams in sales and customer success.
5–8 years of product management experience with proven delivery of technical B2B SaaS products.
Strong technical expertise in AWS or Microsoft Azure including IAM, networking, object storage, APIs, and cloud-native services.
Experience defining API-driven integrations and strong system design and architectural thinking skills.
Experience working with modern data lakehouse platforms (Databricks, Snowflake) and enterprise GenAI ecosystems (Microsoft Copilot, ChatGPT Enterprise).
Technical Product Manager with hands-on experience in cloud-native security integrations, especially across AWS, Azure, Databricks, Snowflake, and enterprise AI platforms.
Comfortable working closely and collaboratively with engineering teams in agile environments with disciplined sprint ownership.
Background or experience in cybersecurity domains such as data security, DSPM, DLP, or SSE and capable of supporting enterprise-level technical sales conversations.