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Tier-1 brand, remote role, mid-level fullstack title, and broad tech requirements increase competition.
Fullstack data-product skills are transferable across SaaS and data-centric companies but need domain knowledge.
Required hands-on Go/Ruby/Node, ClickHouse and integrations make technical filters moderately strict.
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Develop features for data ingestion, modeling, and syncing into a knowledge graph ensuring data freshness, reliability, and coverage.
Build integrations with third-party systems (Jira, Zendesk, ServiceNow) to enhance business context and support Software Engineering Intelligence dashboards (DORA, value stream reporting).
Contribute to design, code reviews, and resolving blockers, collaborating with Senior and Staff Engineers to deliver secure, reliable, performant fullstack data products.
Hands-on proficiency in Go, Ruby, and Node.js.
Experience with data platforms like ClickHouse or similar OLAP systems, including data modeling and query optimization.
Experience building fullstack applications and third-party/API integrations.
Work Experience Required: Not explicitly mentioned in the JD.
Experience operating multi-tenant SaaS and self-managed environments with AI-powered product features.
Ability to decompose complex initiatives into milestones and communicate effectively in an async-first environment.
Comfortable working in ambiguous, high-impact environments and collaborating across teams to unblock and deliver customer value.