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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What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
