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Product Marketing Manager (Technical) – Enterprise SaaS / Cloud Infrastructure –8+ Years-Pune
Summary
Looking for an experienced Product Marketing Manager (Technical) with 8+ years of experience in Enterprise SaaS, Cloud Infrastructure, Cloud-Native, or B2B Technology. The ideal candidate should possess strong expertise in Product Positioning, Go-to-Market (GTM) Strategy, Technical Content Creation, Kubernetes, Multi-Cloud, AI/ML, and Sales Enablement, while collaborating with cross-functional teams to drive global product success.
Location- Pune (Hybrid)
Your Future Employer- A rapidly growing global enterprise technology organization delivering innovative cloud-native infrastructure solutions with a strong international presence. This role offers direct exposure to global leadership and the opportunity to shape product strategy and market positioning on a worldwide scale.
Responsibilities
Requirements
What's in it for you
Reach Us
If you feel this opportunity is well aligned with your career progression plans, please feel free to reach me with your updated profile at [Confidential Information]
Disclaimer
Crescendo Global specializes in Senior to C-level niche recruitment. We are committed to creating an inclusive recruitment process and encourage applications from qualified professionals irrespective of gender, age, disability, religion, or background.
Note
Due to the high volume of applications received, only shortlisted candidates will be contacted. If you do not hear from us within one week of your application, please assume that your profile has not been shortlisted for this opportunity. We will keep your profile in our database for future suitable openings.
Profile Keywords
Product Marketing, Technical Product Marketing, Go-to-Market Strategy, Product Positioning, Enterprise SaaS, Cloud Computing, Kubernetes, Multi-Cloud, AI/ML, Sales Enablement, Technical Content, B2B Technology
Job ID: 150652221
Skills:
product discovery , Saas, Jira, Balsamiq, Figma, Confluence, Agile, Scrum, Ai, Claude, Analytical Skills, ChatGPT, Productboard, Aha, GA4, Miro
Skills:
data engineering , Ml, Computer Vision, NLP applications, Machine learning concepts, Bim, Ai, Model coordination, Clash detection
Skills:
Application Programming Interfaces, AI-assisted product and user experience tools, self-service and AI-driven customer workflows, responsible AI practices, conversational agents
Skills:
Background in data analytics AI ML-driven products, Familiarity with regulated environments, Cross-Functional Leadership, Go-To-Market Adoption, Competitive Industry Insight, Customer Market Understanding, Analytical and problem-solving capabilities, Product Strategy Ownership, Experience with investigative intelligence or cyber domains, Defining KPIs, Roadmap Execution, Background in Cyber Intelligence
Skills:
Enterprise Software, Security Compliance, developer experience tooling, identity tenancy, observability, reliability engineering, platform product management, UX design system, cloud-native architectures, generative AI, AI services, data platform
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