Engineering Team Lead

🕒 Novembro 4

🇨🇦 Canadá – Remoto

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 12%

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• Aberta há 8 dias.
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Riva International, Inc.

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2008

☁️ SaaS

🤖 Inteligência Artificial

🏢 Corporativo

SaaS • Artificial Intelligence • Enterprise

A Riva International, Inc. é uma empresa de software corporativo que oferece uma plataforma SaaS em nuvem que captura atividades de email, calendário e reuniões, transformando-as em dados de CRM estruturados e inteligência de reuniões. Seus produtos incluem sincronização de calendário, captura de email, descoberta de contatos, um painel de insights dentro das caixas de entrada, agendamento/reserva automatizados, ferramentas de engajamento de vendas (disparos de email, modelos, cadências) e uma IA de Inteligência de Reuniões que gera resumos, itens de ação e registros prontos para CRM. A Riva enfatiza integrações com Microsoft 365, Google Workspace, Salesforce e Dynamics, segurança e conformidade em nível empresarial (SOC2) e tem como alvo indústrias reguladas, como serviços financeiros, ciências da vida e serviços profissionais.

Descrição

• Lead a small engineering team expected to approximately double in size. • Spend approximately 60–70% of time on coding, architecture, and system design. • Design, build, and maintain full-stack product capabilities. • Lead architecture decisions and design reliable end-to-end workflows for an AI-powered SaaS product. • Use and expand agentic AI workflows across specification, implementation, review, testing, and delivery. • Partner with the Product Owner on backlog management, requirements refinement, estimation, sprint planning, rollouts, and optimization. • Improve development workflows, CI/CD practices, release traceability, technical standards, and team processes. • Track technical debt, dependencies, risks, tradeoffs, blockers, and timelines. • Strengthen unit, integration, end-to-end, and automated test coverage for AI-enabled features. • Facilitate Agile ceremonies, including sprint planning, backlog refinement, demos, and retrospectives. • Represent the team in bi-weekly leadership meetings and communicate technical decisions to technical and non-technical audiences. • Coach and develop engineers through one-on-ones, feedback, mentoring, performance reviews, and growth opportunities. • Establish structures, processes, and practices to support team growth. • Learn the product, roadmap, development environment, internal processes, and business domain during the first 30 days. • Begin contributing low-risk production work by 60 days and operate at full capacity by 90 days. • Build a strong Product partnership, own release traceability, and contribute to higher-leverage initiatives such as client onboarding within 6–12 months.

🎯 Requisitos

• Proven experience leading a software engineering team. • Experience owning system design, architecture, backlog management, delivery reporting, and engineering workflow improvements. • Experience presenting technical decisions, risks, tradeoffs, and timelines to leadership. • Experience coaching and mentoring engineers, providing feedback, and supporting performance conversations. • Experience working in an Agile software development environment. • Experience helping a software team grow and introducing supporting processes. • Experience developing customer-facing products with integrated AI capabilities and hands-on software development lifecycle involvement. • Strong understanding of the AI-enabled feature lifecycle, including development, testing, deployment, monitoring, and continuous improvement. • Ability to assess and communicate risks, limitations, and tradeoffs of AI-powered solutions. • Strong full-stack software engineering experience. • Solid foundation in C#, .NET 10, TypeScript, and REST API design. • Experience with Microsoft Graph API. • Strong architecture and system design capabilities. • Experience owning CI/CD pipelines and deployment workflows. • Cloud deployment experience; AWS experience preferred but not required. • Strong understanding of unit, integration, and end-to-end testing. • Experience with relational or NoSQL databases. • Ability to communicate technical concepts clearly to technical and non-technical audiences. • Applicants must hold a valid Canadian work permit or be a permanent resident or citizen of Canada.

🏖️ Benefícios

• RRSP/TFSA matching. • Paid vacation starting with three weeks. • Paid wellness time for mental health, personal appointments, and personal needs. • Paid time off to volunteer with charities of your choice. • Extended health care benefits, dental coverage, and life insurance. • Professional development and training allowance for career advancement. • Clear technical career path with opportunities to progress toward a Staff-level engineering role and pursue an architecture or people-management path. • Startup-style pace, ownership, and autonomy within a stable, profitable, and growing company. • Work culture fostering diversity, equity, inclusion, and fun.

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