Engineering Manager

🕒 Setembro 3

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

👮‍♀️ Gerente de Engenharia de Software

👻 Score fantasma 27%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Irth Solutions

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 1995

☁️ SaaS

⚡ Energia

📡 Telecomunicações

💰 Private Equity Round em 2015-07

SaaS • Energy • Telecommunications

A Irth Solutions é uma fornecedora líder de mercado de uma plataforma SaaS focada em melhorar a resiliência e reduzir o risco na gestão de infraestrutura crítica de rede. Suas soluções são confiáveis para empresas de energia, serviços públicos e telecomunicações nos EUA e Canadá, oferecendo capacidades em prevenção de danos, treinamento, inspeções de ativos, gestão de terras e gerenciamento de tickets 811. Ao alavancar inteligência de negócios, análises e dados geoespaciais, a Irth Solutions fornece uma consciência situacional abrangente para gerenciar e mitigar riscos proativamente na infraestrutura de rede. A aquisição da OneBridge Solutions aprimora suas ofertas de gestão de desempenho de ativos.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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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