Core AI Product Manager
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- Define the shared AI intelligence layer and its product strategy
- Productize prediction, simulation and reusable agent infrastructure
- Operate measurable, governed Core AI primitives at enterprise scale
Benchmark: Qualtrics Core AI (Understand) + Cisco AI Knowledge Graph & Intelligence + Intuit Conversational AI Platform + Asana AI Agents Experience (Sep 2026) Market refresh: semantic/ontology systems; NLP enrichment; prediction and simulation; agent runtime; context/memory/retrieval; evals and observability; model abstraction; enterprise governance; developer adoption.
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Define the shared AI intelligence layer and its product strategy
Core AI platform strategy, architecture + investment decisions
Coverage: AI Product Mgmt / AI Platform / Generative AI / Technical Strategy
Semantic intelligence over enterprise + unstructured data
Coverage: Knowledge Graphs / Ontologies / NLP / Unstructured Data
Productize prediction, simulation and reusable agent infrastructure
Prediction, causal reasoning, scenario modeling + benchmarks
Coverage: Predictive Modeling / Causal Inference / Experimentation / Simulation
Agent runtime, tools, context + memory
Coverage: Agents / Tool Use / Context / Memory / Retrieval
Operate measurable, governed Core AI primitives at enterprise scale
Evaluation, retrieval quality + production observability
Coverage: AI Evals / RAG / Retrieval / Observability / Reliability
Governance, model economics + enterprise developer adoption
Coverage: AI Governance / Model Abstraction / Economics / Adoption
Role-Readiness Proof / Capstone
Define and launch a shared Core AI 'Understand' platform: customer and internal-developer discovery; canonical ontology/semantic layer; unstructured enrichment; predictive/causal use cases plus simulation; benchmark suite; agent runtime with tools, memory and retrieval; offline/online evals plus human review; observability/debugging; model gateway with cost-latency-reliability tradeoffs; permissions, safety and governance; developer enablement; and an investment roadmap tied to reuse, quality and customer value.
Proof Rubric
- Show product judgment across shared AI primitives: define reusable capabilities instead of one-off features
- quantify quality, latency, cost and adoption
- connect semantic grounding to retrieval and agent behavior
- establish evaluation and observability loops
- govern model/provider abstraction
- and translate platform investment into measurable developer and customer outcomes