AI Product Analyst
Join a B2B SaaS company’s AI product analytics team to connect user behavior, product performance, and AI model outcomes. Partner with Product and Tech leaders to define metrics, improve AI experiences, and guide data-informed growth.
Responsibilities
- Create executive-ready dashboards and actionable recommendations from product usage data
- Build and maintain a semantic layer for Product Agents and self-service data discovery
- Analyze user journeys to identify adoption gaps and friction points
- Measure product launches and improve feature activation, retention, and growth
- Evaluate AI outputs and iterate on prompt engineering and model performance
- Define KPIs and standardize metric definitions with Product leadership
- Design robust event-tracking schemas, user journeys, and funnel metrics
- Use AI-assisted development tools to streamline analytical workflows
Requirements
- At least 3 years of product data analytics experience, preferably in a B2B SaaS environment
- Advanced SQL skills and experience with large-scale product usage datasets
- Hands-on familiarity with LLM concepts, prompt engineering, output evaluation, or generative AI tools
- Experience using BI and data visualization tools such as Tableau or Streamlit
- Knowledge of data modeling, semantic layers, and event-tracking design
- Ability to analyze ambiguous or noisy AI outputs and produce sound recommendations
- Strong product and business acumen
- Ability to communicate complex data and AI concepts to cross-functional stakeholders
Nice to have
- Experience with dbt, Git, and data transformation workflows
- Familiarity with MCP, database agents, or semantic views
- Experience with AI-assisted development tools such as Cursor, Claude Code, or GitHub Copilot
- Exposure to advanced LLM workflows, fine-tuning, or structured evaluation frameworks
Benefits
- Equity plan participation
- Private health insurance
- Paid time off and sick leave
- Wellness programs and annual Headspace subscription
- Paid parental bonding leave
- Additional company-wide leave days
- Paid volunteering days
- Temporary work-from-anywhere option after six months
- Hybrid work with home-office allowance
- Transportation allowance or parking arrangements
- Professional growth opportunities
- Team-building and company-wide events