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.