Engineering Manager

Irth Solutions is a leading provider of cloud-based SaaS software for damage prevention, asset integrity, stakeholder engagement and land management, helping energy, utility, telecom, and infrastructure companies protect their critical network infrastructure. With nearly three decades of industry experience, Irth serves customers across North America and continues to expand its platform with new data-driven and AI-powered capabilities.

• 8+ years of professional software or data engineering experience, including 2+ years of formally managing engineers.
• A track record of remaining hands-on as a manager, with recent and demonstrable individual contributions to production systems.
• Experience delivering data-intensive or ML-backed products end to end, from architecture through production operation.
• Working knowledge of modern cloud data platforms; Databricks and Azure experience strongly preferred, including Delta Lake, Unity Catalog, and workflow orchestration.
• Strong Python and SQL skills, with the ability to read, review, and write production code across the team's technology stack.
• Experience with CI/CD, infrastructure as code, environment promotion, and release management.
• Demonstrated ability to run a phased delivery plan with hard external commitments and communicate status honestly and effectively to executives.
• Experience hiring, onboarding, and developing engineers in a distributed or fully remote environment.
• Strong written communication skills, with the ability to author design documents, architecture decision records, and clear status narratives.

• Experience leading teams that build regulated, audit-defensible software where outputs are subject to external review.
• Familiarity with MLOps practices, including model registries, versioning, deployment, monitoring, and retraining pipelines.
• Experience with geospatial data and GIS-driven analytics.
• Exposure to agentic AI or LLM-based document extraction in production environments, beyond prototypes.
• Experience integrating third-party or customer-supplied models into a governed execution framework.
• Background in multi-tenant SaaS, including per-tenant isolation and data residency requirements.
• Experience using AI-assisted coding tools such as Cursor or GitHub Copilot and/or agentic coding tools such as Claude Code as part of a professional development workflow, along with a thoughtful perspective on responsible adoption across an engineering team.

• Understanding of pipeline integrity management concepts, including inline inspection, corrosion and crack growth, consequence modeling, and risk-based prioritization.
• Familiarity with PHMSA 49 CFR 192, ASME B31.8S, or comparable regulatory frameworks.
• Prior experience in energy, utilities, or critical infrastructure software.
• Experience standing up a new team on a new platform rather than inheriting a mature engineering organization.

Success in this role will be measured by:

• On-time delivery: Phase commitments are delivered on schedule, with gate criteria met and supporting evidence produced.
• High-performing team: A strong engineering team is hired, onboarded, developed, and retained, with clear ownership across the platform.
• Hands-on technical contribution: Sustained personal contribution through code, code reviews, design work, and other visible technical artifacts in the repository.
• Audit-ready platform: Outputs are reproducible and defensible, with no material findings in security or compliance reviews.
• Predictable execution: Forecasts are accurate, risks are escalated early, and gate reviews have few surprises.
• Cross-functional effectiveness: Strong working relationships are maintained with Product, the Project Management Office, customer-facing teams, and domain subject-matter experts.