Analytics Engineer

Postscript is the AI messaging platform trusted by 20,000+ Shopify brands — including Brooklinen, Ruggable, True Classic, and Dr. Squatch.

With a mission to make SMS your number one revenue driving channel, we built the best-in-class SMS marketing platform and launched revenue-driving AI features not available on any other platform. And we're just getting started.

Backed by Greylock and Y Combinator, fully remote since 2018.

Job Description

The Analytics Engineering team is a high leverage function that plays a critical role in helping Postscript scale. Our mission is to build trusted and insightful data assets that improve decision making at all levels of the company. To accomplish our goals, we need versatile builders! You’ll consult with stakeholders, build data pipelines, and enable self-service analytics. This is a high-impact role with lots of growth opportunities.

All positions at Postscript are fully remote within the United States.

Primary duties

• Develop automated and resilient data transformation pipelines using software engineering best practices (e.g., version control, testing, code reviews)

• Define processes for continuously monitoring data quality and build mechanisms to proactively resolve issues

• Build the harness for agentic development including prompting, skills, and evals

• Maintain detailed documentation and semantic layer for humans and AI agents to consume

• Build self-service tools (e.g., reports, dashboards, integrations) to democratize data and improve decision making across all levels of the organization

• Partner closely with Finance, GTM, and Product to define metrics, identify data needs, and build useful data assets