Build and lead the production and infrastructure engineering organization across DevOps, SRE, developer experience, MLOps, and support, including hiring, coaching, performance management, and delivery planning. Guide technical decisions and production readiness while improving infrastructure, reliability, automation, observability, incident response, and cross-functional delivery.
Design and own critical components of the core execution model, including state machines, lifecycle management, and failure semantics. Ensure system reliability, scalability, and correctness while mentoring engineers and establishing strong engineering patterns across the platform.
The Senior Product Manager will define the vision and strategy for AI and ML-driven solutions while managing the full product lifecycle from roadmap creation to delivery. They will collaborate with cross-functional teams and stakeholders to ensure high-quality product execution and effective go-to-market strategies.
Own the full enterprise sales cycle from prospecting to closing high-value ARR deals for an AI agent platform. Build territory strategies and partner with internal technical teams to deliver ROI-driven business cases and successful production deployments.
