Associate Product Manager, Analytics and ML
About The Position
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.
Requirements
- 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
- 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)
Nice To Haves
- 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
Responsibilities
- 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
- 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
- Work with integration partners across major platforms (e.g., Google, Meta, Amazon, Reddit)
- Synthesize complex technical and business information into actionable recommendations for leadership
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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
