Product Manager, Insights; AI​/ML

Irth Solutions is building
Insights
—a cross‑product intelligence layer that powers Damage Prevention, Asset Integrity, Land Management, and Stakeholder Engagement with predictive and probabilistic risk analytics for critical network infrastructure.

Insights blends generative AI, machine learning, vision modeling, risk data, workflow models, industry trends, and customer‑specific datasets to identify and quantify opportunities and risk with exceptional accuracy. Because Insights integrates directly with 811 call centers, contract locators, energy companies, utilities, and integrity / engagement / land teams, its models are trained on the industry’s most operationally relevant data.

Irth delivers comprehensive risk scoring that combines predictive AI/ML with actuarial analysis—turning data into deeper, more actionable intelligence.

As Product Manager, Insights (AI/ML), you will own the horizontal roadmap and make Insights a seamlessly integrated intelligence layer across Irth’s product portfolio. You’ll bridge data science, platform engineering, and real‑world customer workflows to ship trustworthy models and Insight‑powered features that drive measurable outcomes.

• Own the cross‑portfolio Insights roadmap; set vision, goals, and success metrics in partnership with vertical PMs.
• Evaluate and prioritize AI/ML capabilities and data science investments aligned to company strategy, ARR goals, and technical constraints.
• Translate market and customer needs into clear epics, features, and user stories; manage dependencies across teams.

• Define requirements for predictive models, image analysis, and probabilistic scoring; partner with data science on training needs, calibration, and accuracy improvements.
• Guide model performance evaluation and risk calibration; understand the AI/ML lifecycle from training through monitoring.
• Champion transparency and operational confidence in AI‑driven decisions with customers and stakeholders.

• Partner with UX and engineering to ship intuitive, Insight‑powered workflows that fit into customer operations.
• Support release readiness, documentation, and enablement for Insights features; function as the escalation point for complex issues and serve as domain SME through build, launch, and adoption.

• Engage customers and industry experts for discovery, feedback, and validation; conduct competitive research to improve experience and win share.
• Collaborate with product marketing, sales, and enablement on go‑to‑market for Insight‑powered capabilities.

• Adoption:% of customers and users engaging with Insights‑powered features across product lines.
• Model impact:Measurable improvements in precision/recall, calibration, lift, and reduction in false positives/negatives.
• Commercial outcomes:Attach rate for Insight‑powered modules and ARR influenced by Insights capabilities.
• Operational confidence:Reduction in escalations related to risk scoring; improved user satisfaction (CSAT/NPS) for Insight‑powered workflows.
• Delivery:On‑time release of prioritized roadmap items with clear enablement and GTM readiness.

• Cross‑functional leadership:Influence without authority across product, engineering, data science, UX, marketing, sales, and engagement / delivery.
• Customer‑back approach:Balance AI/ML innovation with field‑tested operational reality; ensure features are intuitive and trustworthy in high‑stakes environments.

• 5+ years
  of product management or technical product leadership in AI/ML, LLMs, data platforms, analytics, or workflow‑heavy enterprise software.
• Strong technical fluency with AI/ML concepts, data modeling, APIs, system architecture, and platform dependencies; proven track record partnering with data science across the ML lifecycle.
• Demonstrated ability to turn complex, data‑driven customer problems into shipped features with measurable impact.
• Excellent written and verbal communication; able to simplify technical AI/ML topics for business users.
• Bachelor’s in Computer Science, Engineering, Data Science,…