Teams at Tessera Labs

Own AI-driven enterprise product features from discovery and strategy through execution, iteration, adoption, and measurable business impact. Define roadmaps, requirements, success metrics, and engineering backlogs; prioritize AI use cases by ROI, feasibility, risk, and time-to-value. Partner with engineering, data science, sales, marketing, delivery, and customers to build B2B products across enterprise platforms, support implementations, and drive product positioning and launches.

Support product discovery and market research, define product requirements and user stories with engineers and designers, analyze usage data and customer feedback, assist launches and go-to-market, research AI technologies, and own a project to present recommendations to leadership.

Build and scale post-training, reinforcement learning, memory, context, knowledge graph, data generation, evaluation, and inference systems for long-horizon enterprise AI agents. Design verifiable RL environments, optimize distributed training and serving throughput, run rigorous experiments, and productionize successful models with reproducibility, monitoring, quantization, and rollback practices.