Senior Product Manager

Title: Senior Product Manager, AI/GenAI

Location:

Team:

Reports to:

About UptimeAI

UptimeAI builds AI-driven solutions that reduce downtime and improve efficiency for industrial clients. We combine advanced AI/ML with deep subject-matter expertise to connect upstream/downstream behavior, adapt to change, pinpoint issues early, and provide prescriptive, explainable recommendations.

Role Summary

operator-assist AI agents

What you’ll build

• Ask & Explain Agents

  – NL answers with citations to plant data/knowledge.

• Detect & Triage Agents

  – Prioritize signals, cluster issues, surface “what first” with rationale.

• Diagnose & Advise Agents

  – Hypotheses, likely causes, and safe next steps with evidence trails.

• Optimize & Plan Agents

  – Suggestions for run-windows, guardrails, or maintenance planning.

• Automate & Document Agents

  – Draft shift notes/reports, pre-fill tickets—always human-in-the-loop.

• Learn & Improve Agents

  – Capture operator feedback and post-event learnings under governance.
• Principles:

  explainability, role-based access, auditability, human confirmation

  before actions.

Responsibilities

• Translate operator/reliability

  jobs-to-be-done

  into agent capabilities, success criteria, and safe workflows.
• Partner with DS/ML on

  retrieval & evaluation

  (offline/online), quality bars (task success, time-to-answer), and

  safety

  (hallucination gating, RBAC/ABAC, audit).
• Define data needs across

  time-series, events/alarms, asset hierarchies, procedures/docs

  ; guide pragmatic integrations (historians, SCADA/MES, CMMS/EAM).
• Drive

  pilots via feature flags

  , scale what works, publish internal playbooks and customer-approved case studies.
• Support GTM with value narratives (noise↓, MTTR↓, throughput/energy↑) without disclosing feature roadmaps.

Qualifications

Required

• 7–12 years

  in Product Management, including

  3+ years

  shipping AI/ML or GenAI experiences (assistants, retrieval/RAG, agentic workflows)

  in production

  .
• Industrial/process domain fluency in

  Oil & Gas, Power Generation, or Chemicals

  (reliability, predictive maintenance, maintenance operations).
• Data/platform literacy: time-series historians,

  events/alarms

  , asset models; familiarity with

  SCADA/MES

  and

  CMMS/EAM

  concepts.
• Proven collaboration with DS/ML on prompts/retrieval design, evaluation datasets, online experiments, and safety/guardrails.
• Enterprise SaaS delivery: discovery → PRD → beta → GA; adoption instrumentation and outcome metrics.
• Excellent communication; track record driving cross-functional alignment with Eng/DS/Design/GTM and customers.

Preferred

• Experience with

  digital twins

  , 2D/3D/P&IDs, or asset-centric search.
• Global rollout exposure (data residency, access controls, regulatory contexts).
• Pricing/packaging for AI add-ons and ROI storytelling (case studies, value calculators).
• Public speaking/thought leadership (industry forums) and/or published content.
• MBA or advanced technical degree (Engineering, Data Science, Operations Research).

UptimeAi

We do not discriminate based on race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, marital status, veteran status, or any other characteristic protected by applicable laws.

UptimeAi