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Strong employer brand, metro location, and a popular early-mid generalist role increase applicant competition significantly.
Skills in internal tools, integrations, and pipelines transfer across industries but expect modest domain preference.
Explicit 2-year requirement plus platform and integration experience make filters moderately strict.
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Build, deploy, and generalize custom automations and AI-augmented tools by embedding with product and engineering teams to solve workflow inefficiencies.
Design, build, operate, and iterate on internal tools and shared platforms integrating multiple AI vendors and internal systems to improve employee productivity.
Develop and maintain data pipelines and measurement layers to track tool and AI usage, spend, and effectiveness, providing actionable insights to the organization.
Minimum 2 years of software engineering experience with independent ownership of workstreams.
Proficiency in at least one programming language such as TypeScript, Python, Java, or Go and ability to work across the stack.
Experience building shared frameworks, internal tools, or platforms used by multiple teams and integrating systems via APIs and data pipelines.
Work Location: Hybrid model with two days onsite (Tuesday, Wednesday, or Thursday); location not explicitly mentioned.
Strong systems thinking with a focus on scalable solutions that solve problems across multiple teams rather than one-offs.
Measurement mindset emphasizing instrumentation, data-driven validation of tool effectiveness, and healthy skepticism of correlation versus causation.
Effective collaborator able to embed with cross-functional teams, understand their workflows deeply, and translate needs into usable tooling and automation.