R&D Solution Builder

Intelcom•Montreal, QC

3d•Onsite

About The Position

Intelcom | Dragonfly is Canada’s leader in last-mile logistics, with operations across three continents and over 100 sorting stations. Our vision is to deliver fast, accurate, and reliable service powered by cutting-edge technology. This role is strategic and sits at the heart of logistics, focusing on identifying and shaping opportunities through experimentation and the development of innovative solutions.

Requirements

Degree in Computer Science, Engineering, Operations Management or equivalent practical experience
5+ years in IT, ideally with either strong software development or product management experience
Great interpersonal skills with a team player attitude and a bias for innovation over the preservation of the status quo
Web software development experience (especially with Node / React)
Backend software development experience using modern cloud architecture
Expertise with new AI-enabled development tools and “vibe coding” practices (GitHub Copilot, Cursor, Claude Code, etc.)
Expertise with LLMs and agentic systems
Track record of autonomously delivering innovative solutions from start to finish
Ability to iterate and identify opportunity improvements rapidly
Exceptional organizational, analytical and problem-solving skills
Demonstrated ability to navigate complex organizations and processes to pinpoint pain points and problem root causes
Demonstrated ability to juggle multiple projects at once and/or changing priorities

Nice To Haves

Experience in the logistics & e-commerce sector (an asset)

Responsibilities

Identify and shape opportunities by leveraging organizational knowledge, scanning industry trends, internal data, and stakeholder feedback to propose high-potential experiments.
Collaborate cross-functionally with Product, Engineering, and Operations to co-design use cases, select PoCs, and define experiment scope, users, dependencies, and success criteria.
Develop software prototypes to tackle selected use cases leveraging software best practices coupled with modern development toolsets (AI-powered IDEs, cloud infra, etc.).
Author experiment briefs including hypotheses, risk registers, rollback plans, and explicit stage gates for decision-making.
Set an example of AI-enabled agile delivery by exemplifying to the organization how one can quickly zero in on a problem, propose a clever solution and ship a focused PoC in record time.
Measure and analyze results using clearly defined KPIs and baselines to decide whether to scale, iterate, or sunset initiatives.
Ensure compliance and quality across cyber security, data governance, and operational safety during pilot execution.
Translate learnings into playbooks and document best practices for future initiatives.
Hand off validated solutions to product and operations teams for roadmap inclusion and scaling.
Maintain trusted relationships with key stakeholders to drive alignment and secure support for pilots and experiments.
Stay abreast with latest developments in AI (LLMs, agentic systems, RAG, etc.) and make an habit to learn new “tech” by testing it firsthand.
Display a “go getter” attitude with a strong sense of purpose in a highly experimental environment where product & technical uncertainty is present.
Foster a culture of experimentation by sharing insights and learnings, advocating for evidence-based decisions, and mentoring teams on rapid iteration.