Leads product strategy, technology direction, roadmap prioritization, architecture decisions, and team building for an early-stage SaaS company. Owns product outcomes, evaluates the existing GenAI and cloud stack, guides multi-cloud and enterprise-security capabilities, and builds 0-to-1 products in collaboration with customers and partners. The role requires hands-on experience with modern AI infrastructure, cloud platforms, and product organizations, with enthusiasm for Hyderabad’s startup ecosystem.
What We Are Looking For
• 10–12 years of hands-on technology experience, with at least 3–4 years owning product decisions - roadmap, prioritization, and tradeoffs, not just delivering against someone else's spec.
• Built your career at product companies - a SaaS startup, a product org inside a larger tech company, or similar — where you owned outcomes for a product with your name on it. This is not the right seat for someone coming from an IT-services or consulting background, where the muscle built is client delivery rather than product ownership.
• Direct experience with, or fast fluency in, the GenAI/LLM stack - vector databases, embedding pipelines, RAG architectures, agentic frameworks, or the MCP protocol. You don't need to have invented this, but you need to have built real things with it.
• Comfort with 0-to-1 or early-stage environments - pre-seed means ambiguity is the job, not an exception to it.
• Experience with cloud-agnostic or multi-cloud architecture (AWS, GCP, Azure) and enterprise-security fundamentals - auth, audit, access control, multi-tenant isolation.
• Comfortable being customer- or partner-facing when it counts, without needing or wanting that to be the daily job - the pull for you is building the product and the team, not managing accounts.
• Genuine enthusiasm for building in Hyderabad's tech ecosystem; familiarity with T-Hub or India's startup and incubation landscape is a strong plus, not a requirement.
Current Stack Context
• Cloud: GCP primary today; multi-cloud parity (AWS, Azure) on the roadmap
• AI layer: Anthropic (Claude), CrewAI, MCP protocol, Groq
• Vector store: Qdrant, Pinecone
• Backend: FastAPI (Python)
• Infrastructure as code: Terraform
• Frontend: Next.js
• Payments: Stripe
You inherit this stack, you evaluate it, and where it needs to change to support the next 18 months, you own that call.
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As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
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- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
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- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
