Associate Product Manager, Analytics and ML

# Associate Product Manager (APM) – Analytics & ML

As an **Associate Product Manager** at Switch, you will sit at the intersection of **product management, customer success, analytics, and machine learning**.

This role is designed for someone who wants to **own real product outcomes early in their career**—working deeply with customers, engineers, and data systems—while developing strong product instincts and technical fluency.

You will be translating real-world data and analytics challenges into scalable product features, dashboards, automation, and ML-driven insights. While this is not a pure engineering role, it **requires strong technical depth** and comfort working hands-on with data, analytics tooling, and ML workflows.

PMs at Switch operate in an apprenticeship-style structure, learning from experienced product leaders, engineers, and data scientists, with a clear path to product management or broader business leadership roles.

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## **What You’ll Do**

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### **Analytics, Data & ML Enablement**

• Work hands-on with analytics and data systems to monitor data fidelity, diagnose pipeline issues, and improve performance
• Leverage SQL, Python, and modern analytics tools to explore client data, build metrics, and support experimentation (e.g., incrementality testing, predictive modeling)
• Support and contribute to the AI training lifecycle, including data preparation, feature validation, and performance monitoring
• Help shape ML-powered features, automation, and predictive insights that improve customer outcomes

### **Product Development & Roadmap Influence**

• Collaborate daily with engineering, data science, and ML teams to design, scope, and ship customer-facing analytics and ML products
• Contribute directly to the analytics and ML product roadmap, informed by customer discovery and usage patterns
• Identify opportunities to standardize, automate, and scale analytics workflows across customers
• Help define product documentation, playbooks, internal tooling, and best practices

### **Cross-Functional & Strategic Impact**
Work with integration partners across major platforms (e.g., Google, Meta, Amazon, Reddit)

• Synthesize complex technical and business information into actionable recommendations for leadership

## **What We’re Looking For**
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### **Core Qualifications**

• 1–2 years of experience in **analytics, data science, or machine learning**
• Strong analytical foundation with exposure to **SQL, Python, data analysis, or ML concepts**
• Comfort working with technical systems and collaborating closely with engineers and data scientists
• Ability to explain complex technical concepts to non-technical stakeholders
• Strong ownership mindset, curiosity, and bias toward action

### **Technical & Analytical Skills**

• Working knowledge of SQL and data modeling concepts
• Familiarity with analytics and data platforms (e.g., BigQuery, Looker/Looker Studio, or similar)
• Exposure to machine learning concepts, experimentation frameworks, or predictive analytics
• Ability to reason about data pipelines, data quality, and system performance (without needing to be a full-time engineer)

### **Bonus Experience**
Experience with digital marketing analytics, measurement, or experimentation
Exposure to ML infrastructure, MLOps/DataOps, or automation tooling
Startup experience or comfort operating in fast-moving, ambiguous environments
## **Location**
Switch is headquartered in **Toronto, Canada**, but operates **fully remotely**.
However, preference will be shown to candidates with the Greater Toronto area.
## **Compensation & Benefits**

• Market-competitive compensation based on experience
• Meaningful equity in a fast-growing AI startup
• Flexible, remote-first work environment
• Structured mentorship and career development
• Team events, offsites, and collaborative culture

If you’re excited about building analytics- and ML-driven products, working directly with customers, and shaping product direction early in your career—even if you don’t meet every requirement—we encourage you to apply. We’re looking for **high-potential builders** who want to grow fast and make a real impact.