Engineering Team Lead

🔥 7 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Riva International, Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2008

☁️ SaaS

🤖 Artificial Intelligence

🏢 Enterprise

SaaS • Artificial Intelligence • Enterprise

Riva International, Inc. is an enterprise software company offering a cloud SaaS platform that captures email, calendar, and meeting activity and turns it into structured CRM data and meeting intelligence. Their product set includes calendar sync, email capture, contact discovery, an insight side panel inside inboxes, automated scheduling/bookings, sales engagement tools (email bursts, templates, cadences), and a Meeting Intelligence AI that generates summaries, action items, and CRM-ready records. Riva emphasizes integrations with Microsoft 365, Google Workspace, Salesforce, and Dynamics, enterprise-grade security and compliance (SOC2), and targets regulated industries such as financial services, life sciences, and professional services.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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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