Principal Product Manager

Organization Background We are a technology-driven organization focused on building

enterprise-scale platforms across Software Engineering and AI Engineering . Our mission is to accelerate innovation by embedding

AI capabilities (GenAI, Agentic AI, automation) directly into

core software engineering workflows and developer platforms . We Prioritize Production-grade, Scalable, And Secure Systems Over Experimentation, Ensuring All Solutions Are Governed, Observable, Cost-efficient, And Aligned To Real Business Outcomes. Our Platforms Enable End-to-end Delivery Across Both

• Software Development Lifecycle (SDLC)
• AI Development Lifecycle (AIDLC) What Will You Be Responsible For?
• Own the product strategy and roadmap for platforms spanning: + Software Engineering (APIs, microservices, DevOps, IDP) + AI Engineering (AIDLC, LLM platforms, agentic systems)
• Drive convergence of SDLC + AIDLC, ensuring AI becomes a native part of engineering systems, not an isolated layer
• Lead productization of: + AI-powered developer platforms (copilots, automation agents) + Reusable APIs, SDKs, and platform services
• Ensure end-to-end lifecycle ownership: + Software: design → build → deploy → operate + AI: data → model → evaluate → deploy → monitor
• Define and track engineering + AI metrics: + DORA metrics (deployment frequency, MTTR) + AI metrics (accuracy, latency, cost, automation %)
• Partner with Engineering, AI/ML, DevOps, and Security teams to ensure: + Reliability, scalability, and governance at enterprise scale What Would Your Day Look Like?
• Working with engineering teams on: + API design, microservices scalability, platform architecture decisions
• Collaborating with AI/ML teams on: + RAG pipelines, agent workflows, model evaluation strategies
• Reviewing production telemetry across both systems: + Software: latency, error rates, service health + AI: token usage, hallucination rates, drift, cost
• Driving backlog prioritization balancing: + Feature velocity vs platform stability vs AI innovation
• Leading trade-off discussions: + Build vs buy (platform vs vendor tools) + Model choice vs cost vs latency + Standardization vs team flexibility
• Ensuring: + AI systems are integrated into CI/CD pipelines + Software systems are AI-enabled where it adds real value
• Handling real-world production issues: + Service failures and cascading microservice dependencies + AI degradation (drift, poor retrieval, inaccurate outputs) + Cost spikes due to scale or inefficient AI usage This role operates at the

intersection of platform engineering, AI systems, and production reliability . Who Are We Looking For?

• A Product Manager with strong experience in: + Software Engineering platforms (APIs, microservices, DevOps) + AI/ML systems (LLMs, RAG, agentic workflows, AIDLC)
• Deep understanding of: + Distributed systems, cloud-native architectures, and SDLC + End-to-end AIDLC (data → model → evaluation → deployment → monitoring)
• Someone who: + Thinks in platforms (reusability, scalability), not features + Prioritizes production readiness over demos + Challenges assumptions and drives data-backed decisions
• Proven ability to: + Deliver 0 → 1 → scale platforms in enterprise environments + Balance engineering rigor with AI innovation
• Strong focus on: + Reliability, cost control, governance, and measurable outcomes