Technical Product Manager

About Irth Irth is building Sentinel, a unified data and analytics platform that evolves our Asset Integrity for Pipelines product from a point risk-scoring feature into a comprehensive threat-management platform. Sentinel connects asset integrity, damage prevention, stakeholder management, and land management. The platform will support industry-standard, Irth-built, and customer-built ("bring your own model") risk models across both transmission and distribution integrity management programs. We are hiring a Technical Product Manager dedicated full-time to Sentinel. This is a hands-on product role at the intersection of data engineering, applied analytics, and regulated workflow software. You will own product requirements and delivery across a multi-phase roadmap that includes: Building a unified data platform with AI-driven ETLDecoupling risk models into a standalone analytical layerLaunching a model governance and BYOM (Bring Your Own Model) frameworkExpanding Sentinel from transmission into distribution use cases The Product Challenge The defining challenge of Sentinel is not the models — it is the data. The industry risk models we support require approximately 65 input attributes. Our products natively cover most, but not all, of these attributes, while customer data arrives in many forms, including spreadsheets, PDFs, inspection reports, and field notes. Your core product challenge will be closing that data gap through automated ingestion, normalization, quality repair, and reconciliation, rather than relying on services-heavy customer onboarding. We are open on level. Title and scope will be calibrated to the experience you bring. Strong candidates at both the mid- and senior-level individual contributor range are encouraged to apply. 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 ambiguityDrive discovery with design partners and prospective customers, translating operational and regulatory realities into clear product requirementsMaintain the roadmap against defined phase gates and hold the team accountable to delivery criteria, including:Data platform operationalData lineage traceableRisk models decoupledBYOM framework liveDistribution capabilities generally availableLead 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 capabilitiesDefine requirements for automated data-quality repair, drift monitoring, and reconciliationSpecify connectors to customer systems of record and external data providers, including weather, soil, satellite imagery, and locate-ticket sourcesDefine entity-resolution requirements and shared spatial data capabilities so records can be reconciled to common assets across product linesOwn 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 mappingScope proofs of concept and define human-in-the-loop review thresholds and quality standards for production deploymentUse 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 reportingDefine requirements for traceability, compliance documentation, and outputs suitable for utility rate-case filingsDefine validation and sensitivity-testing requirements for every model release before commercial launchPartner with Engineering and Security to establish the non-functional product bar, including:Multi-tenant isolationAccess controlCalculation reproducibilityAuditabilitySecurity-attestation readinessRun the Delivery Cadence Drive agile execution across a cross-functional team, including sprint planning, dependency management, release discipline, and delivery metricsCoordinate across data, application, GIS, and QA workstreams and proactively resolve cross-team dependenciesPartner with Product Marketing, Sales Engineering, and Account teams on design-partner enablement, pilot feedback loops, and launch readiness What Success Looks Like You will help Sentinel move from a point risk-scoring capability to a scalable threat-management platform that can: Reliably ingest and normalize complex customer dataReduce manual, services-heavy onboardingProvide traceable and trusted data lineageSupport multiple risk-model frameworksEnable customers to bring and govern their own modelsDeliver auditable, reproducible analytical resultsExpand from transmission into distribution integrity managementUse AI to materially improve data onboarding and product delivery Requirements What You'll Bring Required Qualifications 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 propositionDemonstrated ability to translate data science and statistical modeling concepts into governed, structured, and actionable end-user workflows, and to communicate model behavior effectively to non-technical stakeholdersHands-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-readyPractical 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 notTrack record of delivering products in regulated or compliance-driven environments and translating external requirements into working software against fixed deadlinesExperience with complex integrations, data migrations, or platform transformations, particularly customer migrations from legacy systems to modern platformsStrong 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 releasesWorking familiarity with our technology stack, or the demonstrated ability to ramp quickly: Databricks, Azure, GitHub, Atlassian (Jira/Confluence), and AI coding toolsExcellent written communication skills. Much of this role involves producing requirements, specifications, and decision documents that must withstand engineering and regulatory scrutinyBachelor's degree in computer science, engineering, analytics, or a related technical field Nice to Have Experience in pipeline integrity management, oil and gas, utilities, or another asset-heavy industrial domain. This is genuinely preferred, but not required. We will invest in bringing the right product leader up to speed on the domain, supported by subject-matter experts across the teamFamiliarity with federal pipeline safety regulations, integrity management programs, or comparable safety-critical regulatory frameworksWorking knowledge of GIS and geospatial dataHands-on analytics or programming experience with Python, R, or SQL, sufficient to independently interrogate datasets rather than waiting on a data queueExperience with BI and data visualization tools for translating model outputs into executive-ready reportingAdvanced degree in analytics, data science, or a related fieldAgile or project management certification such as CSM, CAPM, PMP, or similar Location & Travel This is a fully remote role open to candidates based anywhere in the United States. Occasional travel is required for team working sessions, on-site meetings with design partners, and meetings with prospective customers. Why Join Sentinel Executive-backed strategic program: Sentinel is a named strategic initiative with executive sponsorship, a funded multi-year roadmap, and design-partner traction with major operators already underwayOwn the platform end to end: You will own a platform from the data layer up — not just a slice of an existing product. You will have meaningful influence over architecture, product sequencing, and how AI is applied across the platformWork that makes a difference: Better risk data and better models help pipeline operators identify threats before they become incidents. The work directly contributes to safer, more reliable delivery of the natural gas that powers our society, economy, and way of life AI Use in Hiring As part of our hiring process, this role may use artificial intelligence (AI) or automated tools to assist with reviewing and screening applications. These tools support, but do not replace, human judgment in hiring decisions. Role Type This is a New position. Compensation The salary range for this role is USD $150K This range reflects base salary only and does not include other compensation components. Offers are determined based on several factors, including, but not limited to, experience, skills, qualifications, and location. Benefits What We Offer Join a dynamic, growing company with a strong reputation in its industryCompetitive salaryComprehensive health plan options, including medical, dental, and vision coverage401(k) plan with company matchFlexible PTO policy plus company-paid holidaysAdditional benefits, including life insurance, pet insurance, and employee discounts and perks programsGenerous one-time work-from-home stipend to help you set up your home workspaceCompany events and opportunities to connect, including monthly team lunches, volunteer outings, and quarterly gatheringsHybrid employees have access to complimentary snacks, beverages, and coffee at our Columbus, Ohio office