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Strong Tier‑1 brand, metro location, and a generalist mid‑level title drive high competition.
Core engineering, tooling, and integration skills are broadly transferable across industries, so sensitivity is low.
Explicit two‑year minimum plus mandatory platform, integrations, and measurement experience yields medium strictness.
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Build custom automations and AI-augmented workflows embedded with various product teams to remove workflow friction and generalize reusable internal tools.
Develop and maintain internal tools, platforms, and integrations with AI vendors to improve employee productivity, rapidly prototyping and scaling valuable solutions.
Create and manage measurement layers and data pipelines that track tool and AI spend, adoption, and value impact across the organization to inform future investments.
Minimum 2 years of software engineering experience with ownership of workstreams.
Proficiency in one or more languages such as TypeScript, Python, Java, or Go and readiness to work across the stack.
Experience building shared frameworks, internal tools, platforms, and system integrations via APIs including data pipelines.
Eligible for hybrid work with two days onsite; location specifics not explicitly mentioned in the JD.
Engineer with a systems thinking approach aiming to build scalable internal tools beyond single-team solutions.
Demonstrates a measurement mindset with strong ability to instrument tools and interpret adoption versus impact accurately.
Experienced in collaborative, forward-deployed engineering roles working closely with product and engineering teams to solve real workflow problems.