Applied AI Engineer — Growth Automation & Real-Time Pipelines

Latitude; United Kingdom; Remote; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Equity

Flexible working

PTO

Job summary

Snowplow is seeking an Applied AI engineer embedded with the Growth team to own and improve GTM workflows, personalization signals, and enrichment pipelines. You will work with data engineers on scoring models and with platform engineers on the Firn framework to keep processes reliable and scalable.

You will design and deploy production-grade workflows, implement robust error handling, and run experiments to identify effective messaging.

Qualifications

• Proficient in Python and SQL with production experience.
• Experience building with LLMs for real tasks and structured outputs.
• Familiarity with version control (Git) and API consumption.
• Knowledge of data pipelines into Snowflake or similar warehouses.

Responsibilities

• Own GTM workflows in production, including outbound sequences and signals pipelines.
• Review and validate content before sending campaigns and ensure data quality.
• Instrument sends, run A/B tests, and report impact to Growth stakeholders.
• Collaborate with data engineers on scoring models and the semantic layer.
• Implement engineering standards, alerting, and runbooks for reliable workflows.

Skills

Python

SQL

Git

LLMs

Tools

Snowflake

dbt

Zapier/n8n

Job description

Snowplow is seeking an Applied AI engineer embedded with the Growth team to own and improve GTM workflows, personalization signals, and enrichment pipelines. You will work with data engineers on scoring models and with platform engineers on the Firn framework to keep processes reliable and scalable.

You will design and deploy production-grade workflows, implement robust error handling, and run experiments to identify effective messaging.