Associate Product Manager (APM) – Analytics & ML

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

• 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

Location

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