Product Owner – Analytics as a Service

Product Owner – Analytics as a Service

Position Summary

The Founding 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.

Primary Responsibilities

Product Strategy

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.

Customer Discovery

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.

Agile Product Leadership

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.

AI-First Product Management

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.

Product Performance

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.

Required Experience

• 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

Preferred Experience

Experience in one or more

• Utilities
• Industrial Software
• Industrial AI
• Asset Performance Management
• Predictive Analytics
• Industrial IoT
• Rotating Equipment
• Grid Monitoring

Success Measures

Within 12 months

• Product roadmap established and executed
• Customer advisory program operational
• Regular release cadence established
• Customer feedback integrated into every release
• Feature adoption and customer satisfaction improving
• Product development driven by measurable customer outcomes

Travel

Approximately 15% global travel.

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