Sr. Data & AI Application Engineer

About the role

We are hiring a Sr. Data & AI Application Engineer to drive the architecture and development of a unified platform for Insights, Audience Building, and Measurement powered by large-scale data and AI. This is a hands-on leadership role where you will own system design decisions and build production-grade applications that integrate with modern data platforms and third-party SaaS tools.

Responsibilities

• Lead front-end architecture and development using React and Next.js (Node.js)
• Design and implement enterprise-grade systems integrating with third-party platforms (e.g., Snowflake, ThoughtSpot)
• Build and manage data pipelines, Snowflake clean rooms, and semantic layers
• Develop AI-powered applications, including chatbots, MCP integrations, and API-connected tools
• Support audience modeling workflows including model training, scoring, calibration, and enrichment
• Build measurement frameworks and embedded BI dashboards (e.g., ThoughtSpot)
• Execute custom analytics requests: segmentation, overlap analysis, behavioral profiling, and ad hoc data pulls
• Prototype R&D initiatives in privacy-preserving technologies and AI agent orchestration
• Establish engineering standards, contribute to code quality, and guide architectural decisions
• Manage development processes using Git/Bitbucket and JIRA branching workflows

Qualifications

• BS or MS in Computer Science, Data Science, or Information Systems
• 6–8 years of proven experience architecting and shipping an enterprise-level application with a polished UI and dependencies on embedded/third-party SaaS services
• 3–6 years experience with Node.js, Next.js, and React
• Strong SQL expertise including CTEs, window functions, and complex aggregations
• 3–6 years of Python experience (data processing, scripting, APIs, OOP)
• Experience with cloud data platforms (Snowflake, BigQuery, or Redshift)
• Familiarity with authentication/SSO systems (e.g., AWS Cognito)

Preferred

• Experience with GenAI developer tools (e.g., Copilot, Cursor, Claude Code) or agent frameworks
• Hands-on experience with Snowflake Cortex, Snowpark, or Streamlit
• Familiarity with LLM APIs (OpenAI, Anthropic Claude)
• Experience with ML models (classification, feature engineering, calibration techniques)
• Knowledge of data privacy frameworks (clean rooms, differential privacy, PETs)
• Experience with Slack Bolt, AWS EC2, and deploying Python services
• Familiarity with MCP servers or AI agent orchestration
• Experience analyzing large-scale datasets (100M+ rows)

Tech Stack

• Snowflake, Snowpark, Snowflake Cortex, Streamlit, Python, SQL, ThoughtSpot, Next.js, React, Node.js, AWS Cognito, Claude API, MCP, Slack Bolt, AWS EC2, Bitbucket, JIRA, GenAI tools

Pay

Salary Range: $165,000 – $180,000

Benefits

• Employer contribution for medical, dental, and vision
• Company paid holidays, wellness time off, other wellness benefits, and employee discounts
• Employer paid life insurance
• Option to enroll into an employer-matched 401K Plan
• Unlimited vacation days, available starting 90 days from your hire date as a team member