Engineering Manager

🕒 vor 1 Monat

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟠 Senior

🔴 Experte

👮‍♀️ Leiter Softwareentwicklung

👻 Geisterscore 29%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Irth Solutions

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

Gegründet 1995

☁️ SaaS

⚡ Energie

📡 Telekommunikation

💰 Private Equity Round im 2015-07

SaaS • Energy • Telecommunications

Irth Solutions ist ein marktführender Anbieter einer SaaS-Plattform, die sich auf die Verbesserung der Resilienz und Reduzierung von Risiken bei der Verwaltung kritischer Netzwerkinfrastrukturen konzentriert. Ihre Lösungen werden von Energie-, Versorgungs- und Telekommunikationsunternehmen in den USA und Kanada vertraut und bieten Fähigkeiten in den Bereichen Schadensprävention, Schulung, Anlageninspektionen, Landmanagement und 811-Ticket-Management. Durch die Nutzung von Business-Intelligence, Analysen und Geodaten bietet Irth Solutions umfassende Situationsbewusstsein, um Risiken in Netzwerkinfrastrukturen proaktiv zu verwalten und zu mindern. Die Übernahme von OneBridge Solutions erweitert ihr Angebot im Bereich Asset Performance Management.

Beschreibung

• Own delivery and technical execution against the phase plan, including scope commitments, sequencing, dependencies, and release readiness at each gate. • Run sprint planning, stand-ups, demos, and retrospectives, with visibility into blockers and schedule risk. • Translate product requirements into technical workstreams and achievable increments. • Manage team capacity and velocity across the data platform, ingestion layer, and analytical layer. • Escalate risks and surface milestone risk to leadership. • Contribute directly to the codebase, especially foundational and high-risk components. • Review pull requests, design documents, and architecture decision records. • Establish engineering quality and technical decision-making standards. • Prototype and de-risk agentic ingestion workflows and model execution patterns. • Debug production issues alongside the team. • Partner with the Data Architect on data modeling, lineage, governance, and platform standards. • Own test coverage, CI/CD discipline, environment promotion, observability, and the definition of done. • Make and document build-versus-buy and tooling decisions. • Balance delivery pressure against technical debt. • Ensure risk calculations, data transformations, and model outputs are traceable and reproducible for regulatory audit. • Enforce platform security requirements, including access control, tenant isolation, secrets management, and SOC 2-aligned controls. • Plan production-readiness activities, including load testing, penetration testing, and access-control reviews. • Recruit, onboard, and develop a distributed team of engineers. • Conduct one-on-ones, set expectations, provide feedback, and own performance management and career development. • Build a culture of productive technical disagreement, ownership, accountability, collaboration, and continuous improvement. • Partner with Product on requirements, sequencing, priorities, and scope tradeoffs. • Work with the Project Management Office on plan integrity, dependency tracking, and gate-readiness reporting. • Support customer-facing teams during pilots and previews, including technical discovery and issue triage. • Collaborate with domain experts to align model behavior with regulatory expectations.

🎯 Anforderungen

• 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. • Preferred: experience leading teams that build regulated, audit-defensible software where outputs are subject to external review. • Preferred: familiarity with MLOps practices, including model registries, versioning, deployment, monitoring, and retraining pipelines. • Preferred: experience with geospatial data and GIS-driven analytics. • Preferred: exposure to agentic AI or LLM-based document extraction in production environments, beyond prototypes. • Preferred: experience integrating third-party or customer-supplied models into a governed execution framework. • Preferred: background in multi-tenant SaaS, including per-tenant isolation and data residency requirements. • Preferred: experience using AI-assisted coding tools such as Cursor or GitHub Copilot and/or agentic coding tools such as Claude Code. • Nice to have: understanding of pipeline integrity management concepts, including inline inspection, corrosion and crack growth, consequence modeling, and risk-based prioritization. • Nice to have: familiarity with PHMSA 49 CFR 192, ASME B31.8S, or comparable regulatory frameworks. • Nice to have: prior experience in energy, utilities, or critical infrastructure software. • Nice to have: experience standing up a new team on a new platform rather than inheriting a mature engineering organization.

🏖️ Vorteile

• Competitive salary • Comprehensive health plan options, including medical, dental, and vision coverage. • 401(k) plan with company match. • Flexible PTO policy plus company-paid holidays. • Life insurance • Pet insurance • Employee discounts and perks programs. • Generous one-time work-from-home stipend to help you set up your home workspace. • Company events and opportunities to connect, including monthly team lunches, volunteer outings, and quarterly gatherings. • Hybrid employees have access to complimentary snacks, beverages, and coffee at our Columbus, Ohio office.

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