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Tier-1 brand, metro location, hybrid and mid-level generalist role with broad stack increases competition.
Core engineering and tooling skills are transferable, though internal-product experience helps.
Explicit 2-year minimum plus required cross-stack and platform experience.
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Build and deploy custom automations and AI-augmented tools embedded with product and engineering teams to reduce workflow friction and toil.
Develop shared internal platforms and tools that generalize automation solutions for organization-wide use, integrating with multiple AI and internal systems.
Create and maintain measurement layers and data pipelines to track tool adoption, usage, spend, and correlate these signals to measurable outcomes for ROI assessment.
Minimum 2 years of software engineering experience with demonstrated independent ownership of deliverables.
Proficiency in one or more programming languages including TypeScript, Python, Java, or Go, with willingness to work across the stack.
Experience building internal tools, shared frameworks, or platforms used by multiple teams.
Experience integrating systems via APIs and building data pipelines or multi-source integrations.
Engineer with systems thinking who designs solutions scalable from one team to the entire organization, focusing on reusability and leverage.
Practitioner of a measurement mindset, skilled at instrumenting software to produce clear signals about value and adoption.
Hands-on collaborator comfortable working closely embedded with diverse teams to understand workflows and translate them into engineering solutions.