Associate Product Manager, Analytics and ML
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AI Summary
The role involves hands-on work with analytics and data systems, leveraging tools like SQL and Python to explore data, build metrics, and support experimentation, while also contributing to the AI training lifecycle and shaping ML-powered features. Responsibilities include collaborating with engineering and data science teams to ship customer-facing products and defining the analytics and ML product roadmap based on customer needs.
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.
What You’ll Do
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
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.
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