Product Owner – Analytics as a Service
About The Position
The Product Owner is responsible for defining, prioritizing and continuously evolving Qualitrol's Analytics as a Service portfolio for rotating machines, grid monitoring and future analytics services. This individual serves a primary voice of the end user inside the incubator, partnering closely with customers, commercial teams and engineering to rapidly deliver valuable capabilities that improve customer outcomes. Unlike a traditional Product Owner, this role is expected to build an AI-first, customer-centric product management capability capable of continuously discovering customer needs, validating ideas, and delivering production-ready analytics services at startup speed. The Product Owner will establish tight Voice of Customer feedback loops through immersive customer engagement, AI-assisted market intelligence and frequent product releases while ensuring the squad remains focused on the highest-value opportunities.
Requirements
- 8+ years product management for SaaS or cloud software
- Experience launching commercial software products
- Experience working directly with enterprise customers
- Strong understanding of Agile product development
- Experience leading cross-functional software teams
- Proven success delivering customer-centric products
Nice To Haves
- Experience in one or more: Utilities, Industrial Software, Industrial AI, Asset Performance Management, Predictive Analytics, Industrial IoT, Rotating Equipment, Grid Monitoring
Responsibilities
- Own the product roadmap for Qualitrol's Analytics as a Service portfolio.
- Prioritize features based on: Customer value, Business impact, Market opportunity, Competitive differentiation, Technical feasibility
- Maintain a rolling product roadmap balancing customer commitments with long-term platform evolution.
- Develop trusted relationships with early adopters and strategic customers.
- Establish structured Voice of Customer processes including: Follow Me Home observations, Customer Advisory Boards, Early Adopter Councils, Design Partner Programs, Customer interviews, Usage analytics, Product telemetry
- Continuously validate assumptions before committing engineering resources.
- Lead backlog prioritization and sprint planning.
- Work daily with: Product Engineers, SaaS Architect, Customer Success, Commercial Leader, DevOps
- Ensure every sprint delivers measurable customer value.
- Leverage AI to accelerate: market research, competitive analysis, customer insight extraction, backlog refinement, requirement generation, release planning, product documentation
- Champion specification-driven development supported by AI-assisted engineering.
- Measure product success through: Customer adoption, Feature utilization, ARR growth, Customer retention, Net Revenue Retention, Time-to-value, Customer satisfaction
- Continuously refine priorities using real customer data.
Benefits
- Approximately 15% global travel.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
