Top Tech Jobs & Startup Jobs in Boston, MA

Quickplay invites applicants to connect if they have skills relevant to OTT video. They value transparency, fairness, and collaboration in a hybrid work environment.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.

The Senior Platform Engineer designs and operates Kubernetes infrastructure, automates tasks, enforces platform standards, and collaborates across teams to improve engineering velocity and scalability.

The Chief Talent Community at HelloFresh is responsible for fostering a diverse and inclusive workplace culture, ensuring employee engagement, and leading talent acquisition initiatives.

Support Bswift implementations and ongoing client support by managing data imports/exports, payroll/carrier files, EDI feeds, and transaction analysis. Troubleshoot production issues, perform audits, ensure system accuracy, train client HR partners, liaise with third parties, and recommend process improvements to reduce errors and improve quality control.

The Business Development Representative will generate pipeline, qualify leads, close small deals, and collaborate with AEs in a high-caliber selling environment.

Responsible for maintaining and enhancing data warehouses and pipelines, developing scalable ETL processes, data analysis, and reporting through visualization tools like PowerBI.

The role involves evaluating pet grooming products and providing insights through video content for brand collaboration projects, requiring strong communication skills and hands-on grooming experience.

The Staff Software Engineer will design and build scalable systems, lead architecture decisions, mentor engineers, and improve existing platforms using PHP, Node.JS, and AWS.

Design and build scalable backend components and indexing pipelines for semantic and hybrid retrieval, build retrieval orchestration and knowledge-graph services, improve retrieval quality via evaluation and observability, design APIs, and optimize latency, throughput, cost, reliability, and security for large-scale AI inference and retrieval workloads.