Director, Engineering

🕒 Maio 13

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Aislelabs

SiteLinkedInTodas as Vagas

51 - 200 funcionários

💰 Seed Round em 2014-03

Na Aislelabs, acreditamos que os dados no ambiente construído têm um potencial não explorado. Que sistemas de construção, como WiFi, não são apenas custos a serem pagos, mas sim investimentos que não apenas precisam de um ROI, mas podem entregá-lo. Acreditamos que os profissionais de marketing do ambiente construído – que chamamos de Profissionais de Marketing do Ambiente Construído – precisam de ajuda. Eles estão sobrecarregados com eventos e outras atividades que são exclusivas do marketing no mundo físico. Nós somos essa ajuda. Na Aislelabs, estamos constantemente buscando novas e inovadoras maneiras de ajudar e capacitar o Profissional de Marketing do Ambiente Construído, transformando o WiFi de um centro de custos em um centro de lucro. Fazemos isso ajudando você a desanonimizar os visitantes, oferecendo-lhe o canal de marketing com maior ROI de todos.

Descrição

• Manage and coach a team, consisting of DevOps engineers, software development and QA engineers located in Canada and India. • Define and drive the technological vision for the business with the General Manager and Leadership Team based on industry trends. • Shape, articulate, and execute the R&D strategy in conjunction with the Product strategy as approved by the business. • Collaborate with Product Management to validate the Engineering release schedules based on approved product priorities, accounting for available capacity velocity • Oversee the system administration of Jira for the Engineering division, ensuring development and QA estimates are generated as required for planning purposes. • Assign and support all engineering assignments, tracking against the Roadmap and aligning with approved shifts in priority. • Constantly assess and monitor performance of the Engineering division while proactively taking steps to improve the KPIs/performance ratios. • Provide monthly reports outlining Engineering performance (R&D ratio/trend, defects, backlog, productivity and capacity status, challenges). • Define and direct the adoption of team-wide standards relating to development practices (code bases, tools) and processes (agile adoption, success metrics) • Oversee the DevOps function for our self-hosted server infrastructure powering global app access. • Oversee the delivery of a refactoring project which includes key attributes of machine learning, big data ingestion and algorithmic forecasting • Collaborate with the Aislelabs Leadership Team to address escalated customer issues, delivery concerns and provide input on key decisions • Complete an annual strategy planning exercise for the Engineering division as part of the company-wide Strategy Plan. • Recommend process improvements when known issues exist with people management, technology management, and metric outcomes • Oversee Cybersecurity and IT to ensure secure, reliable, and compliant operations—covering access management, data protection, incident response, and maintaining a stable cloud infrastructure that supports our SaaS and Data Center platforms. • Manage IT operations including user accounts, software and license costs, and company devices to keep internal systems organized, secure, and efficient.

🎯 Requisitos

• Bachelor’s degree in computer science, or 10 years of relevant software development leadership experience including managing software system deployments. • Experience leading a team of 8+ engineers and DevOps staff • Experience solving complex business solutions with technology. • Experience with AI-first design and development practices • Proven success driving growth, profitability and process efficiencies within a technology company or division. • Minimum of 4 years successfully delivering a mixture of small, medium, and large projects software deliverables. • Ability to translate customer requirements into functional specifications for enhancements, interfaces and reports. • Manage and adhere to a change management process to control scope and ensure profitability levels. • Ability to drive quality UI front-end development • Management of budgets, including personnel investment planning, hardware investments • Deep knowledge of DevOps and hosting practices to manage a multi-continent platform • Proven experience building machine learning models, at scale, e.g. millions of data points per day • Strong analytical skills in combination with strategic, action-oriented mindset • High energy and sense of urgency • Ability to travel occasionally (< 5%)

🏖️ Benefícios

• Health insurance • 401(k) matching • Paid time off • Professional development opportunities