Top Tech Jobs & Startup Jobs in Boston, MA

As an Industrial IoT Systems Engineer, you will integrate factory equipment, design data pipelines, manage industrial servers, and ensure connectivity and security across industrial systems.

The DevOps Engineer will oversee customer projects, automating cloud infrastructure, managing CI/CD pipelines, and supporting AWS migrations while ensuring high-quality technical delivery.

As a Senior Implementation Engineer, you'll own technical projects, enhance the Java codebase, automate processes, integrate systems, and collaborate with customers on infrastructure design.

The Vice President & GM, Product Management will lead product strategy for AI-powered search, recommendations, and merchandising, drive product convergence, and oversee business KPIs to improve revenue for Bloomreach's solutions across the commerce sector.

The Senior Solutions Architect at LaunchDarkly leads customer engagements, optimizing software delivery processes, advising on best practices, and driving organizational change in software development.

As an Industrial Designer, you will develop investment-ready business plans and POC designs through ideation, visualization, and collaboration with teams, emphasizing physical systems in industrial settings.

The Revenue Programs Specialist coordinates the revenue leadership's calendar, organizes meetings, tracks strategic initiatives, and ensures accountability across marketing and sales teams.

Lead end-to-end design and registration of agricultural soil carbon projects, interpret and implement VCS methodologies, design soil carbon sampling and GHG measurement strategies, prepare and defend project documentation, embed methodological rigor into products and processes, train staff, advise leadership on risk and strategy, and represent Perennial in registries and industry forums.

Support Account Managers by maintaining carrier relationships, negotiating rates and schedules, ensuring carrier compliance, analyzing service-level results, reporting client requests, and escalating performance issues.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.