This is an opportunity to work for a remote-first company. Only applicants living in British Columbia will be considered for the role. Must be legally eligible to work in Canada.

Our Values

Driven by PLAYER OBSESSION, we earn our players’ trust by understanding their needs and creating experiences that put them first.

OWNERSHIP means we take responsibility for our work and outcomes; we follow through, learn from mistakes, and never say “that’s not my job.”

With RESOURCEFULNESS, we do more with less, finding creative ways to overcome challenges and deliver impactful results.

Grounded in CONTINUOUS IMPROVEMENT, we are relentless in our pursuit of better; for ourselves, our games, and our players.

About Kano

Kano is an independent gaming studio that has been building and operating live games for over 15 years. Our games have long-running player communities, mature economies, live events, web and mobile platforms, and real business complexity behind them.

We are a small, remote‑first team. People here have room to make a visible impact, but that also means we need people who take ownership, learn quickly, adapt and care about whether their work actually changes decisions.

Our Values

Driven by PLAYER OBSESSION, we earn our players’ trust by understanding their needs and creating experiences that put them first.

OWNERSHIP means we take responsibility for our work and outcomes; we follow through, learn from mistakes, and never say “that’s not my job.”

With RESOURCEFULNESS, we do more with less, finding creative ways to overcome challenges and deliver impactful results.

Grounded in CONTINUOUS IMPROVEMENT, we are relentless in our pursuit of better; for ourselves, our games, and our players.

About the Role





We are hiring a Product Analytics Engineer (AI‑First) to help us better understand our players, improve our games, and raise the quality of our games, marketing, and live‑operations decisions across Kano. This is a hands‑on analytics role working across product, games, marketing, LiveOps, technical quality, and our AWS‑based data stack. This is not a dashboard‑only role or a pure data engineering role.

The right person is strong with data, curious about games and product design, comfortable working in a technical analytics environment, and uses AI tools. While this is not an AI product development role, AI is core to how you will operate daily. You will use tools such as Claude Code, Codex, and emerging AI tools to accelerate analysis, write and review SQL and Python, investigate data, automate repetitive work, build analytical workflows, and increase the scope of what you can accomplish. We are looking for someone who is already actively experimenting with AI in their work and is excited by how quickly these tools are changing analytics. If you prefer traditional analytical workflows and are reluctant to incorporate AI into your day‑to‑day work, this role is unlikely to be a fit.

We are looking for someone who embodies being humble, hungry, and smart, meaning you take ownership, ask good questions, work well with others,



and care more about finding the truth than proving yourself right. You should be comfortable with imperfect data, changing priorities, and live products where decisions need to be made with the best available evidence.

What You’ll Do

Product and Game Analysis

- Analyze player behaviour and product changes across the entire lifecycle (onboarding, retention, monetization, progression, LiveOps, and game economy health).
- Run deep‑dive funnel, cohort, and segmentation analyses to identify friction points, drop‑offs, and player spending patterns.
- Translate ambiguous product questions into structured analyses, clear findings, and actionable recommendations.

Kano Analytics Stack & Data Quality

- Work hands‑on with our AWS‑based analytics stack (S3, Athena, DBT, Prefect) to create, maintain, and optimize robust ETL pipelines.
- Write cost‑and performance‑aware SQL to build analytical views that make core datasets accessible to the wider team.
- Proactively QA data pipelines and telemetry, identifying broken tracking, inconsistent definitions, or anomalies in event volume.
- Partner with Product, Engineering, and Design to architect tracking plans and define data telemetry before new features launch.

Experimentation & AI-Enabled Workflows

- Support the end-to-end design, success metric definition, and post‑analysis of A/B tests and feature experiments.
- Leverage contemporary AI development tools to accelerate your SQL/Python scripting, workflow automation, and documentation.
- Build reusable notebooks, scripts, and analytical workflows to scale insights across our small, remote‑first studio.
- Continuously experiment with new AI capabilities and incorporate useful tools and w

📌 Product Analytics Engineer (Montreal)
🏢 Kano
📍 Montreal