About the Role
Minerra Health is building a next-generation AI-powered platform combining intelligent automation, decisioning systems, and real-world workflow orchestration to solve complex, high-impact problems in metabolic and obesity care.
We're seeking an AI Technical Product & Engineering Lead who thrives in high-ownership, quick-scaling environments — someone who can operate end-to-end from concept through production, driving clarity in ambiguous problem spaces and delivering scalable, production-grade AI systems.
You'll work at the intersection of product, engineering, and applied AI — leading development of LLM-driven systems, AI agents, and decisioning platforms that power enterprise workflows across health systems and employers.
What You'll Own
End-to-end ownership of AI product domains (agents, decisioning, automation)
Product strategy and roadmap for LLM-driven and ML-driven systems
Definition of system behavior, orchestration logic, and user workflows
Decisioning systems that combine rules, ML, and AI
0→1 development, followed by scaling, optimization, and platformization
Key Responsibilities
Own AI initiatives end-to-end — from discovery through production and scale
Design and deliver AI agents and copilots, decisioning and recommendation systems, and workflow automation layers
Translate ambiguous business and clinical problems into structured product requirements and system-level designs
Partner with engineering and data teams on model selection, latency/cost/accuracy tradeoffs, and evaluation frameworks




Build and manage experimentation frameworks (A/B testing, iterative model improvement)
Define success metrics and drive product analytics and performance monitoring
Ensure systems are scalable, resilient, secure, and enterprise-grade
Communicate progress, risks, and tradeoffs clearly to leadership
What We're Looking For
Must-Have
6–10 years of product management or technical product leadership experience
Shipped AI/ML products in production (not PoC or internal tooling)
End-to-end system ownership — problem → design → build → launch → iteration
Strong understanding of LLMs, APIs, data pipelines, and distributed systems
Ability to articulate tradeoffs across latency, cost, accuracy, and reliability
Comfortable operating in high-ambiguity, 0→1 environments
Preferred Background
Experience at Amazon / AWS / Google / Microsoft, or a high-growth AI-first or HealthTech startup (Series A–D)
Built AI agents, copilots, or decisioning/recommendation systems
Experience with platform or infrastructure products, multi-tenant SaaS, and enterprise integrations
Exposure to regulated or complex workflow environments (healthcare, fintech, enterprise SaaS)
Why This Role
Build category-defining AI systems from the ground up
Work on mission-critical problems with measurable real-world impact
High ownership, autonomy, and direct visibility with global leadership
Early role with meaningful influence on platform and product direction
Working Model
Remote, based in India. Requires overlap with US time zones for key meetings and planning sessions.

📌 AI Technical Product & Engineering Lead Location: India (Remote) | Company: Minerra Health (US-based (Chennai)
🏢 Minerra Health
📍 Chennai