Senior staff-level engineer serving as the technical foundation for a growth engineering team. The role combines full-stack development in Go and TypeScript with production data pipelines, experimentation infrastructure, ML systems, and technical direction.
Salary not listed
Remote10+ YOEFullstack Engineering
About the role
Responsibilities
Build and maintain Go-based data pipelines powering growth analytics, from event ingestion through reliable reporting.
Audit martech integrations, identify underperforming or redundant tooling, and replace or retire it when appropriate.
Architect and ship experimentation infrastructure for clean A/B tests and accurate measurement.
Ship full-stack growth features in Go and TypeScript, owning backend services through frontend implementation.
Apply ML to personalization, predictive modeling, and experiment analysis, taking systems into production.
Review experiment designs and code from other growth engineers.
Use AI tools daily to accelerate development and raise the team’s engineering standards.
Requirements
10+ years of experience spanning full-stack development, data and analytics infrastructure, and martech systems.
Production-level expertise in Golang and TypeScript.
Experience designing and operating production analytics and data pipelines.
Hands-on experience building and shipping production ML systems.
Strong systems thinking and architectural judgment, including refactor-versus-rewrite decisions.
Fluency with AI-assisted development.
Experience setting technical direction for a growth or data team under ambiguity and limited oversight.
Nice-to-Haves
Experience with a marketplace, fintech, or scaled consumer product.
Familiarity with prediction markets, financial products, or real-time data systems.
People management experience.
Compensation & Benefits
Competitive salary and equity.
Unlimited PTO.
Full health, vision, and dental coverage.
401(k) match.
Hardware setup including a new MacBook Pro, large display, and accessories.
Skills
GoTypeScriptData Pipelinesanalytics infrastructureMarTechA/B TestingExperimentationMachine Learningpredictive modelingdata ingestionai-assisted development
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