Senior Product Manager

Title : Senior Product Manager, AI / GenAI

Location :

Bangalore, India (Hybrid / Remote Option Available)

Team : Product

Reports to : Director of Product

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

Lead the strategy and delivery of

operator-assist AI agents

that reduce cognitive load, accelerate decision-making, and improve reliability / throughput. You’ll partner with Data Science / ML, Engineering, Design, and SMEs to ship

safe, measurable

AI capabilities grounded in plant workflows and industrial data.

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).

At

UptimeAi , we are an

Equal Opportunity Employer . We celebrate diversity and are committed to creating an inclusive environment for all employees.

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.

All employment decisions at

UptimeAi

are based on

business needs, merit, and qualifications , ensuring fair and equitable opportunities for everyone