Product Manager / Product Owner - Industrial Operations Analytics

Requirements & Specification :

- Write PRDs with persona-driven, testable acceptance criteria.

- Define KPIs with formulas and data sources.

Analytics & AI Features :

- Specify AI agents with autonomy levels and escalation rules.

- Define reusable AI skills with inputs, outputs, and sources.

- Scope AI specialists by domain: maintenance, quality, energy, and safety.

- Design autonomous data apps: insight to action, closed-loop.

- Set guardrails, human approval, and audit trails.

- Define dashboards, widgets, and alerts with persona-specific defaults and drill-down paths.

- Partner with design teams to groom requirements and review Figma designs.

- Validate Figma prototypes against acceptance criteria before engineering handoff.

Delivery & Stakeholders :

- Lead grooming and handoff with engineering, and resolve scope trade-offs against acceptance criteria.

- Drive cross-functional collaboration with product, design, engineering, and program management.

Qualifications :

Must have :

- 8+ years in product management or product ownership for industrial, manufacturing, or operations analytics software.

- Working knowledge of OT data sources (historians, MES, SCADA) and IT systems (ERP, CMMS).

- Familiarity with industrial KPIs (maintenance, quality).

- Experience writing PRDs, KPI specifications, and data integration requirements.

Nice to have

- Experience with predictive maintenance, quality analytics, or energy management products.

- Hands-on exposure to ML model lifecycle or LLM/RAG applications in operational settings.

- Background in plant operations, reliability engineering, or process industries.

- Experience with IIoT platforms (edge gateways, device connectivity, cloud data pipelines).

- Experience across multiple industrial domains, such as manufacturing, energy, utilities, oil and gas, mining, or pharmaceuticals