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Technical Product Manager - Deccan AI
About Deccan AI Deccan AI builds enterprise AI systems that put accuracy at the center of intelligence. We work at the intersection of applied ML, data infrastructure, and product, helping organizations move from pilots to production grade AI. We're looking for a Technical Product Manager to help shape what we build next.
We recently raised $25M in Series A funding and are entering a rapid growth phase. Our India office is based in Hyderabad.
We're not just participating in the AI race we're building the infrastructure that powers it.
With 1M+ global experts, advanced automation, and vertically integrated platforms, we deliver the gold-standard data that world-class AI models rely on. The AI data infrastructure market is expected to grow exponentially over the next decade, and Deccan AI is positioned to become a defining company in this space.
The Role We're hiring a Technical Product Manager to own the roadmap for one or more core product lines, working closely with engineering, applied ML, design, and go to market teams. This is a hands on role for someone comfortable reading a system design doc, writing a PRD, and sitting in on a customer call in the same afternoon.
What You'll Do
What We're Looking For
Nice to Have
Why Deccan AI
Job ID: 150951687
Skills:
Case Management Tools, Product Management, Real-time Rules Engines, Machine Learning Models, Fraud Monitoring Systems, Acquiring Risk
Skills:
Enterprise Software, influencing senior level stakeholders, feature delivery, workforce technology, program management, productivity platforms, AI ML technologies
Skills:
API design, Jira, Vpn, Gcp, Cloud Infrastructure, Azure, AWS, ZTNA, SWG, agile product development, SASE, SSE, Amplitude, Mixpanel, CASB, Pendo, Productboard, microservices architecture, Aha
Skills:
Cybersecurity, Automation, Data Analytics, Generative AI, Product Management
Skills:
Enterprise Architecture, Distributed Systems, Apis, Microservices, Kubernetes, CI CD Pipelines, Cloud Native Architectures, AIDLC Frameworks, AI Observability, AI Governance, Model Evaluation, AI Governance Frameworks, Azure AI Services, DevOps Practices, Internal Developer Platforms, OpenAI Ecosystems, Agentic AI Systems, Site Reliability Engineering, Service Mesh Architectures, Engineering Productivity Platforms, Multi-Agent Platforms, Prompt Engineering, Platform Engineering
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