Product Manager, Network Domain

We are looking for a Product Manager, OSS Network Domain to own the network-and-service semantic core of ' next-generation OSS platform.
This is the role for a builder who already thinks in routers, interfaces, services, and network state - someone who can define what an OSS object means so that automation and AI can safely act on it. You will own one networking-heavy domain area of the platform (for example inventory & resource management, service design & planning, fulfillment, or assurance) and define the domain model, semantics, and product behavior that everything else is built on.
This is a builder PM role, not a requirements-forwarding role. The goal is to turn messy operator and network reality into reusable domain capabilities that R&D can build - not a custom data model or workflow per customer.
Responsibilities:
Own the product vision, strategy, roadmap, and epics for your OSS domain area.
Define the domain model for your area - services, resources, physical/logical inventory, topology, dependencies, state (planned / intended / discovered / active / degraded / stale), intent, policy, and network/diagnostic/remediation action semantics as relevant to your area.
Define source-of-truth and reconciliation behavior: which system is authoritative for which object and state, how freshness and confidence are represented, and what happens when data is stale or systems disagree.
Translate operator workflows and network reality into reusable domain primitives - resisting customer-specific schemas, models, and forks.
Partner with the OSS Platform and workflow engine PMs so that workflow blocks, AI experiences, and integrations are grounded in correct service, resource, topology, and action semantics.
Work closely with R&D and architects to define product behavior, data models, API/contract shapes, state transitions, edge cases, failure modes, acceptance criteria, and MVP tradeoffs - leaving implementation decisions to architects.
Ground the platform's AI and automation in domain truth: define how impact, root cause, and service context are computed and represented so AI output is trustworthy.
Use modern AI tools day-to-day to accelerate discovery, PRD and epic writing, competitive analysis, and modeling.