Technical Product Manager
About the role
Irth is building Sentinel, a unified data and analytics platform that transforms our Asset Integrity for Pipelines product into a comprehensive threat-management platform. Sentinel integrates asset integrity, damage prevention, stakeholder management, and land management. It supports industry-standard, Irth-built, and customer-built risk models for both transmission and distribution integrity management programs. We are hiring a Technical Product Manager dedicated full-time to Sentinel.
What You'll Do
Own Product Definition: Translate a phased product strategy and high-level requirements into a groomed, traceable backlog of epics, features, user stories, and acceptance criteria that engineering can execute against without ambiguity.
Drive Discovery: With design partners and prospective customers, translate operational and regulatory realities into clear product requirements.
Maintain the roadmap against defined phase gates and hold the team accountable to delivery criteria, including:
- Data platform operational
- Data lineage traceable
- Risk models decoupled
- BYOM framework live
- Distribution capabilities generally available
Lead the Data & Analytics Workstream: Partner with data architects, data engineers, and data scientists to define the unified data platform, ingestion and normalization layer, and data-quality capabilities. Define requirements for automated data-quality repair, drift monitoring, and reconciliation. Specify connectors to customer systems of record and external data providers, including weather, soil, satellite imagery, and locate-ticket sources. Define entity-resolution requirements and shared spatial data capabilities so records can be reconciled to common assets across product lines. Own requirements for model configuration, versioning, governance, and audit trails across industry, Irth, and customer-built models.
Make Agentic AI a Delivery Advantage: Shape agentic AI workflows for document parsing and schema mapping. Scope proofs of concept and define human-in-the-loop review thresholds and quality standards for production deployment. Use AI tooling as part of your own product development workflow. Irth uses Claude Code for agentic software development, and we expect Product to work alongside Engineering in that environment rather than simply handing requirements over the wall.
Deliver in a Regulated Environment: Translate federal pipeline safety regulations into executable product logic, auditable outputs, and defensible reporting. Define requirements for traceability, compliance documentation, and outputs suitable for utility rate-case filings. Define validation and sensitivity-testing requirements for every model release before commercial launch. Partner with Engineering and Security to establish the non-functional product bar, including: Multi-tenant isolation, Access control, Calculation reproducibility, Auditability, Security-attestation readiness, Run the Delivery Cadence.
Drive Agile Execution: Coordinate across data, application, GIS, and QA workstreams and proactively resolve cross-team dependencies. Partner with Product Marketing, Sales Engineering, and Account teams on design-partner enablement, pilot feedback loops, and launch readiness.
Requirements
4+ years of experience in technical product management, product ownership, or a closely related role delivering enterprise software, ideally where data quality, analytics, or modeling was central to the product's value proposition.
Hands-on fluency with data, including schema design and alignment, pipeline and ingestion design, handling missing or inconsistent data, and governance practices that make outputs defensible and audit-ready.
Practical experience applying AI to product and delivery workflows, including prompt engineering, AI-assisted workflow automation, or agent design, with sound judgment about where AI belongs in a workflow and where it does not.
Track record of delivering products in regulated or compliance-driven environments and translating external requirements into working software against fixed deadlines.
Strong agile delivery skills and the credibility to run a technical team's delivery cadence, including backlog health, capacity planning, dependency management, and consistent on-time releases.
Working familiarity with our technology stack, or the demonstrated ability to ramp quickly: Databricks, Azure, GitHub, Atlassian (Jira/Confluence), and AI coding tools.
Excellent written communication skills. Much of this role involves producing requirements, specifications, and decision documents that must withstand engineering and regulatory scrutiny.
Nice to Have
Experience in pipeline integrity management, oil and gas, utilities, or another asset-heavy industrial domain.
Familiarity with federal pipeline safety regulations, integrity management programs, or comparable safety-critical regulatory frameworks.
Working knowledge of GIS and geospatial data.
Hands-on analytics or programming experience with Python, R, or SQL, sufficient to independently interrogate datasets rather than waiting on a data queue.
Experience with BI and data visualization tools for translating model outputs into executive-ready reporting.
Advanced degree in analytics, data science, or a related field.
Agile or project management certification such as CSM, CAPM, PMP, or similar.