Team Lead, Software Development

TL;DR Set the motion to build and grow our engineering capabilities and directly impact the development of a talent team of software developers. Montreal (Hybrid: Tues–Thurs in office) Maxa has solved the hard technical problem: transforming fragmented ERP data into CFO-trusted insights in weeks instead of months. We have the product, methodology and the technology. The Impact You’ll Bring As our Engineering Team Lead at Maxa, you will drive developer success and be the architect of our engineering culture. Your mission is to empower a team of developers through rigorous execution, proactive coaching, and clear direction. You aren’t just managing tasks; you’ll dive into the action of backend logic and data pipelines when the team needs an extra set of hands. This role is ideal for a leader who enjoys ambiguity, builds fast and efficiently, and has the experience to shape AI agentic workflows to elevate the team’s production delivery. Here’s what a day can look like Enforce high standards for code reviews, PR hygiene, and documentation in collaboration with the Architecture team. Drive engineering excellence, productivity and speed, and foster a culture of continuous improvement to build long-term technical and organizational health Lead, mentor and build a high-performing team of software developers through career development planning and coaching. Drive strong production ownership practices, including observability and incident responses, with a mindset Here’s what will qualify you for the role: Soft skills 10+ years of professional software development experience, with an emphasis on enterprise data analytics. 5+ years of people management experience as a team lead or manager, managing the growth and career development of software developers. Experience running agile delivery processes, with a strong sense for sprint planning, capacity management and backlog prioritization. Comfort operating within a 0-1 environment where speed and ambiguity coexist. Demonstrate a deep curiosity about emerging technologies and AI, actively leveraging them to elevate product experiences, sharpen decision-making and production delivery, and build the team knowledge. Lead by example with a “player-coach” mentality and remain close to the action to guide critical technical decisions, code review PRs, unblock developers on component architecture and make sound technical calls. Hard skills React and TypeScript: our entire frontend is React 19 with TypeScript Python: the AI platform side is based on Python 3.13. You don't need to be a daily Python writer, but enough fluency to review agent code, understand async patterns, and mentor developers on it will be appreciated. Cloud infrastructure: you are able to reason about deployment, scaling and service architecture. Here’s what will make you stand out: AI/LLM tooling (ADK, LangChain, or similar agent frameworks): prior exposure to these technologies mean faster context, better architecture instincts and more credible mentorship on the AI side. Familiarity with dbt / data engineering to contribute to design discussions. Knowledge of Temporal or equivalent workflow orchestration. What We Offer 4 weeks vacation in year one, 5 weeks thereafter RRSP employer contribution after 3 months On-site chef: three-course lunches for $12 Stock options in a post–Series A high-growth AI company The opportunity to define the infrastructure and security standards for enterprise AI Your experience is close to what we outlined, but you might not be ticking every box? Apply anyway! 🚀Passion and curiosity go a long way! We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.

Lead and mentor a high-performing team of software developers while driving engineering excellence and productivity. Act as a player-coach by guiding critical technical decisions and managing backend logic and data pipelines.

Requires 10+ years of professional software development experience in enterprise data analytics and 5+ years of people management. Candidates must be comfortable in 0-1 environments and possess a deep curiosity for emerging AI technologies.

• 4 Weeks Vacation In Year One • 5 Weeks Vacation Thereafter • RRSP Employer Contribution • On-site Chef • Stock Options

Identified from the job description. Confirm important requirements above.

• People Management
• Software Development
• Enterprise Data Analytics
• Agile Delivery
• Sprint Planning
• Capacity Management
• Backlog Prioritization
• AI Agentic Workflows
• Code Review
• Production Ownership
• Observability
• Incident Response
• Backend Logic
• Data Pipelines
• Technical Leadership
• Mentoring

• Software
• Management & Leadership
• Technology
• Data & Analytics
• Engineering

Minimum experience

10+ years

Posting language

English

Working hours

40 hours per week

Office presence

3 days per week