R&D Analytics Engineer

We are hiring a dedicated R&D Analytics Engineer to help build and scale the data and AI foundation of our enterprise SaaS business.

Reporting to the Sr. Director of AI & Analytics within our centralized Operations organization, this is a highly hands-on role focused on architecting scalable analytics systems and AI-enabled workflows that power decision-making across the company.

You will design the core data models, architecture, and reusable assets that serve Product, Engineering & Design — while helping redefine what an analytics function looks like in the age of AI.

This is a foundational hire with high ownership and long-term growth potential.

What You'll Do

1. Enterprise Data Modeling & Architecture

• Design and maintain scalable dbt data models in Snowflake that serve as trusted sources of truth across the business
• Architect data pipelines and transformation workflows using Fivetran and modern ELT practices
• Develop durable, extensible data assets that evolve as the company scales
• Establish modeling standards, documentation practices, and governance frameworks
• Partner with RevOps and Finance to define and operationalize core SaaS metrics (ARR, retention, expansion, pipeline, etc.)

2. AI-Enabled Systems & Workflow Integration

• Build data foundations that power internal AI applications and LLM-enabled workflows
• Prototype and productionize AI-driven operational use cases
• Integrate analytics and AI into everyday workflows using tools such as Notion, Cursor, Glean, and other emerging platforms
• Design systems that embed data directly into operational processes — not just dashboards

3. Cross-Functional Analytics Infrastructure

• Partner with leaders across Sales, CS, Marketing, Finance, Product, and Engineering to translate business needs into scalable technical systems
• Create reusable data assets that enable activation via Hightouch and analysis via Omni
• Ensure architecture is scalable, secure, and adaptable to evolving enterprise requirements

Our Stack

Analytics: Fivetran, dbt, Snowflake, Hightouch, Omni
AI & Knowledge Systems: Notion, Cursor, Glean

Experience with these tools is helpful but not required. Strong fundamentals and the ability to quickly learn new technologies matter more than prior tool exposure.

What We’re Looking For

• Experience in analytics engineering, data engineering, or similar hands-on roles
• Strong SQL skills and deep understanding of modern data modeling (dimensional modeling, transformations, data contracts, etc.)
• Experience building in cloud data warehouses (Snowflake, BigQuery, Redshift, etc.)
• Comfort working in a fast-moving, evolving AI tooling landscape
• Systems-level thinker who designs for scalability, extensibility, and flexibility
• Naturally curious and energized by solving ambiguous problems
• Pride in building clean, durable architecture — not just shipping quick fixes
• Strong communication skills and ability to collaborate across business and technical teams

Why This Role Matters

We are not building a traditional BI function.

We are building an AI-augmented analytics capability that:

• Embeds data into operational workflows
• Enables faster, smarter enterprise decision-making
• Evolves as AI tooling evolves
• Treats architecture as a strategic asset, not a back-office utility

You won’t just build dashboards — you will help shape how analytics and AI power our company over the next several years.