Top Tech Jobs & Startup Jobs

Build, maintain, and support production-grade data pipelines and platform capabilities. Responsibilities include ingestion, transformation, orchestration, data modeling, testing, monitoring, quality, governance, performance optimization, cost management, CI/CD, and infrastructure automation. The role partners with Analytics, Data Science, Finance, Risk, Marketing, Product, and Engineering teams while supporting Snowflake-based warehouse systems and AI-assisted development initiatives.

Coordinate complex interview scheduling across departments and time zones, including executive panels, candidate travel, and expense workflows. Manage ATS data integrity, pipeline reports, candidate communications, preparation materials, offers, background checks, relocation requests, and recruiting documentation. Support headcount approvals, process improvements, and recruiting projects while maintaining confidentiality, accuracy, and a strong candidate experience.

Build and implement AI and machine learning models, data pipelines, predictive analytics, attribution and personalization systems, and NLP tools. Develop Tableau dashboards, document models, communicate findings to technical and non-technical stakeholders, and collaborate with data scientists, engineers, and business teams on strategic initiatives. The role is fully remote within the United States and requires a quantitative master's degree.

Lead design strategy and implementation for an AI-powered web and mobile product platform. Conduct user research, competitive analysis, and product requirements definition; create Figma wireframes, prototypes, and UI designs; build applications with Bubble.io and Streamlit; coordinate design, engineering, and AI teams; manage product development timelines; and maintain brand identity, marketing websites, and landing pages.

Lead global software release orchestration across development, QA, production, and device environments. Manage release schedules, milestones, dependencies, phased rollouts, hotfixes, rollbacks, configuration management, and cross-program planning. Partner with engineering, DevOps, project management, and system administration teams to ensure high-quality, timely releases. Build release processes, reporting, automation, and continuous improvement programs while supporting multi-region and multi-time-zone deployments.

Conduct research and develop Media Mix Modeling algorithms using statistical, econometric, Bayesian, and causal inference methods. Work with time-series, panel, and marketing data; build models end-to-end; develop diagnostics and validation frameworks; run simulations; compare methodologies; and translate research into production-ready analytical solutions. Collaborate with senior data scientists on real client datasets and document methodology, assumptions, limitations, and results.