Job Title: Sr. Director, Engineering

Company Name: Aislelabs

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/r3z5kttqfgb8t04j

Job Description: Posted 1d agoSr. Director, Engineering@ AislelabsView All JobsWebsiteUnited States or CanadaRemoteFull TimeResponsibilities:Manage team, Define vision, Oversee DevOpsRequirements Summary:Leads engineering org; manages DevOps, software development and QA across Canada and India; defines tech vision; drives R&D and product strategy; oversees metrics and security.Technical Tools Mentioned:Generative AI Models, Java, JavaScript/TypeScript, React, SQL, Linux/Unix, AWS
Job Summary:About AislelabsAislelabs is a global SaaS and data intelligence business enabling enterprises to convert their physical environments into lasting, data driven initiatives that support revenue growth. Our platform delivers spatial analytics, real-time flow and site insights, and largescale marketing and data processing to hundreds of customers worldwide, supporting mission critical outcomes.A profitable, remote first organization, Aislelabs is entering a focused growth phase centered on platform modernization, architectural simplification, and a scalable global hosting strategy. We value disciplined execution, long term value creation, and leadership teams that balance innovation with operational rigor.As Sr. Director of Engineering, you will be accountable for the performance, scalability, and evolution of the engineering organization—setting technical direction, developing leaders, and partnering with the business to deliver sustainable, capital efficient growth.Job Description:SummaryThis critical role is responsible for the P&L for the Aislelabs Engineering division, including DevOps. The Sr. Director, Engineering is responsible for the management of Aislelabs engineering resources, all software development and quality assurance deliverables and the processes and systems that build and support our Suite of Flow, Connect and Marketing modules that will support the business into  its next phase of growth.The ideal candidate is prepared to manage a team through change as the organization is actively working to complete its NextGen product offering.  The team will require ongoing AI skills development, technical mentoring, improved metrics tracking and quality capacity planning in order to achieve key business objectives.This leader will embrace communication and team camaraderie as a key part of the role, ensuring daily engagement with engineers and detailed progress tracking is completed and communicated to the senior leadership team on a regular basis. The Sr. Director, Engineering oversees key annual initiatives for the business, offers updates at all company Town Hall meetings and is an engaged communicator at weekly leadership meetings. This role will be highly visible and impactful as the company moves into its next stage of growth.Essential ResponsibilitiesManage 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 forecastingCollaborate with the Aislelabs Leadership Team to address escalated customer issues, delivery concerns and provide input on key decisionsComplete 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 outcomesOversee 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. Basic QualificationsBachelor’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 staffExperience solving complex business solutions with technology.Experience with AI-first design and development practicesProven 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 developmentManagement of budgets, including personnel investment planning, hardware investmentsDeep knowledge of DevOps and hosting practices to manage a multi-continent platformProven experience building machine learning models, at scale, e.g. millions of data points per dayStrong analytical skills in combination with strategic, action-oriented mindsetHigh energy and sense of urgencyAbility to travel occasionally (< 5%)Technical SkillsGenerative AI Models (Claude, GPT, etc.)JavaJavscript/TypescriptReactSQLLinux/UnixCloud computing platform knowledge, e.g. AWSWorker Type:RegularNumber of Openings Available:    1