Senior Data Intelligence Engineer

Role overview

Senior Data Intelligence Engineer for an AI-native organization building the next generation of voice and data intelligence systems. You’ll be the founding engineer of a new Data Intelligence function, designing semantic and analytical foundations so AI agents can query, reason, and act on business-critical data.

Responsibilities

• Design and build semantic data models and dbt/SQL transformations for trusted, usage-based and revenue-driven metrics.
• Develop agent-facing tools/frameworks enabling autonomous querying, reasoning, and insight generation.
• Build and maintain data infrastructure unifying product, billing, CRM, and operational systems into an AI-ready intelligence layer.
• Ensure data contracts are reliable, scalable, and optimized for AI agent consumption (with engineering and infrastructure teams).
• Transform unstructured data (including internal voice/audio data) into structured, queryable insights.
• Automate repetitive analytics by replacing manual SQL with scalable code and agent-based solutions.
• Help evolve an AI-first data ecosystem where systems continuously learn and self-optimize.

Requirements

• 5+ years in data engineering, analytics engineering, or AI/data platform roles in high-growth environments.
• Strong SQL and Python; experience building production-grade data pipelines and transformations.
• Experience with RAG systems, agent-based architectures, or AI-native data workflows.
• Deep understanding of usage-based SaaS metrics, including revenue attribution, NRR, consumption models, and product analytics.
• Systems-thinking mindset for scalable, modular, reliable data architectures.
• Comfortable working in ambiguous, fast-paced environments with a bias toward iteration.
• Strong collaboration skills across engineering, product, and data leadership.

Nice to have

• Experience in software engineering or real-time data / usage billing systems.

Benefits (highlights)

• Comprehensive health coverage (medical, dental, vision, life, disability, mental health).
• Unlimited PTO and flexible scheduling.
• Competitive 401(k) with match.
• Wellness/productivity stipends, learning & development budget.
• Home office setup stipend and remote-work support.
• Generous parental leave and family support.
• Equity participation and compensation aligned with experience.