The Role
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.
Summary Generated by Built In
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.
Skills Required
- 10–12 years of hands-on technology experience
- 3–4 years owning product decisions, including roadmap, prioritization, and tradeoffs
- Career experience at product companies, such as a SaaS startup or technology product organization
- Hands-on experience with GenAI/LLM technologies, including vector databases, embedding pipelines, RAG architectures, agentic frameworks, or MCP
- Experience working in 0-to-1 or early-stage environments
- Experience with cloud-agnostic or multi-cloud architecture across AWS, GCP, or Azure
- Knowledge of enterprise-security fundamentals, including authentication, auditing, access control, and multi-tenant isolation
- Comfort working with customers or partners when needed
- Enthusiasm for building in Hyderabad’s technology ecosystem
- Familiarity with T-Hub or India’s startup and incubation landscape
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
2nd Brain Labs builds the infrastructure that helps enterprises activate Generative AI across their existing software, APIs, data, and knowledge. Its products include Synapse, an enterprise context engine that turns codebases into production-ready MCP servers; Scout, an AI sales intelligence tool; Pulse, an AI content automation platform; and Audera, real-time text-to-speech. The company also provides product engineering, AI strategy and transformation, and workforce training services.
_0.png)
