Top Tech Jobs & Startup Jobs in Boston, MA

Design and maintain dbt data models, optimize pipelines with data engineers, translate business requirements into technical specs, enforce code quality and testing, and document a company-wide data dictionary to support reliable reporting and dashboards.

Lead data-driven strategy and analytics for marketplace and sourcing operations: monitor trends, build dashboards and forecasting models, evaluate experiments and financial products, quantify impacts, and present executive recommendations to improve supplier engagement, sourcing efficiency, and marketplace performance.

The Software Engineer II will guide software implementation, manage problem statements, participate in the software development lifecycle, improve code quality, and mentor engineers. They will collaborate across teams and focus on technical direction and continuous improvement.

Lead and develop a team of product designers to deliver high-quality, execution-ready UX work. Partner with Product and Engineering to define scope, enforce design systems and accessibility, drive AI-assisted workflows, resolve ambiguity, and ensure predictable delivery and outcomes.

Partner with Sales leadership to define metrics, own sales dashboards, build quota and forecasting models, ensure cross-functional data accuracy, and translate complex data into executive recommendations using SQL, Looker/LookML, and advanced Excel.

Lead the integration of Xometry's AI into Siemens' workflows, focusing on design for manufacturability and instant quoting, while owning the technology roadmap and collaborating with cross-functional teams.

Lead and scale a user research organization to produce actionable, insight-driven strategy that shapes product vision and roadmaps. Manage senior researchers, drive research timing and rigor, ensure outcomes influence product decisions, reduce ambiguity and rework, track research impact, and adopt tools (including AI) to accelerate synthesis and insight generation across Product, Design, and Engineering.

Lead analytics strategy for an AI-powered manufacturing marketplace. Build statistical frameworks, experimentation, forecasting, and reusable analytical assets. Partner cross-functionally to measure impact, guide product and operational decisions, develop dashboards/KPIs, and manage a team of data scientists to improve marketplace performance, pricing, sourcing, and efficiency.

Lead the design and implementation of scalable data architecture and engineering solutions, manage partner integration, mentor engineers, and ensure best practices in data systems.

The Senior Data Scientist will analyze product data, design A/B tests, define KPIs, and collaborate with teams to improve product performance and user experience.