Top Tech Jobs & Startup Jobs in Boston, MA

Lead and mentor a quality engineering team and CMM programmers in an aerospace manufacturing environment. Oversee quality plans, nonconformance resolution, root cause analysis, corrective actions, FAI packages, process improvement, audits, documentation, supplier quality, and technical support. Collaborate with manufacturing, production, customers, suppliers, and senior leadership while advancing Lean, Six Sigma, SPC, QMS, and inspection practices. Travel to suppliers or other locations may comprise up to 25% of the role.

Lead quality initiatives for aerospace manufacturing operations by developing quality plans, resolving nonconformances, conducting root-cause and corrective actions, supporting FAI and supplier quality activities, and maintaining inspection and compliance documentation. Apply SPC, MSA, Lean, Six Sigma, and other quality methodologies to improve processes. Collaborate with engineering, production, inspectors, suppliers, and customers while supporting audits, training, design reviews, and quality assessments.

Leads corporate communications strategy across internal and external audiences. Develops executive messaging, press releases, digital and social content, media relations, employee communications, brand narratives, and change-management communications. Partners with executives, HR, Marketing, and Operations to strengthen organizational alignment and storytelling. Oversees communication channels, tracks performance metrics, and ensures consistent messaging across the company.

Develop and optimize CNC turning processes for aerospace components, including NPI sequencing, routings, CNC programming, tooling and fixturing. Analyze process capability, troubleshoot machining and quality issues, support machinists, maintain technical documentation, and lead continuous improvement initiatives. The role requires collaboration across manufacturing teams, adherence to safety and quality standards, training support, and travel to suppliers or other locations up to 25% of the time.

Early-career Data Scientist supporting supply chain transformation through machine learning, forecasting, statistical modeling, data preparation, dashboards, and AI solutions. The role addresses inventory optimization, demand forecasting, production planning, delivery performance, and cost reduction. Responsibilities include developing analytical datasets and workflows with Python and SQL, evaluating models, integrating enterprise data, supporting cloud-based analytics, and communicating insights to business stakeholders in a manufacturing environment.

Build end-to-end data science, machine learning, forecasting, time-series, and AI solutions for supply chain and manufacturing operations. Develop analytical datasets, ETL/ELT workflows, dashboards, APIs, and production models using Python, SQL, cloud platforms, and modern data technologies. Partner with business and technical stakeholders to improve inventory, demand forecasting, delivery, production planning, cost, and operational efficiency. The role owns solutions from problem definition through deployment, monitoring, adoption, and continuous improvement.