Top Tech Jobs & Startup Jobs in Boston, MA

Lead Software Engineer responsible for designing and developing API services, collaborating with business teams, and ensuring high-quality delivery of applications.

As a Product Manager II, you'll lead initiatives for AI-powered customer platform capabilities, focusing on innovation, compliance, and cross-functional collaboration to enhance customer experiences.

As a Lead Analyst, you will optimize trading analytics by assessing exchange performance, developing analytical frameworks, and collaborating with teams to enhance trading strategies and customer experience.

The role involves advising senior leadership on Treasury Management strategies, leading projects, and solving complex challenges in consulting for healthcare, education, and not-for-profit sectors.

Administer the operations of SmartBear's Atlassian partner programs, ensuring compliance, maintaining partner records, and coordinating with internal teams for transactions and performance reporting.

The Customer Marketing Manager drives customer advocacy and lifecycle marketing, collaborating across teams to enhance engagement and optimize retention programs.

As a Sales Development Representative, you will qualify inbound leads, conduct high-volume outreach, generate pipeline for the sales team, and collaborate with Account Executives. The role aims for rapid career advancement in a supportive and competitive environment.

The Sr Manager, HR Technology & Analytics leads the digital transformation of HR services, optimizing technology, data, and analytics for improved service delivery and employee experience.

As a Security Engineer, you will enhance product security by implementing secure development practices, conducting assessments, advising teams, and handling vulnerabilities.

The DSP Engineer at Bose will design, implement, and test DSP algorithms focusing on audio technologies, ensuring robustness and portability while collaborating with partners and teams.

Manage IT project planning and delivery using Agile methodology, lead large projects, oversee technical operations, and communicate effectively with stakeholders.

The Senior Manager oversees AI and GenAI data science teams, driving complex analytics projects, coaching teams, and ensuring high-quality solutions. Responsibilities include managing GenAI development, collaborating with clients, presenting findings, and leading business development activities.

Design, build, and maintain platform systems for Benchling's data modeling. Collaborate on high-impact projects and define best practices for data handling and APIs.

The Customer Success Leader will manage a team, drive customer adoption, and build relationships with scientific and IT leaders in biotech.

The Senior Marketing Specialist will lead visual branding, storytelling, and design projects at Kensho, translating complex AI concepts into compelling narratives while collaborating closely with cross-functional teams.

This role leads customer advocacy and storytelling at Toast, partnering across teams to elevate customer voices and support revenue-driven initiatives through effective narratives.

The Senior Data Analyst will provide data analysis to drive strategic decisions, utilizing SQL and Python for insights and data visualization, engaging with cross-functional teams, and developing interactive dashboards.

Looking for a Senior Software Engineer to develop full-stack applications, improve functionality, mentor team members, and influence technical direction.

The Full Stack Data Discovery Engineer will design scalable data pipelines, develop APIs and crawlers, and analyze external data. Responsibilities include conducting searches, data governance, and collaborating with stakeholders to integrate new data sources.

Lead the design, development, and demonstration of advanced autonomous systems. Engage with customers to define solutions and architect integrations. Oversee engineering teams through the Agile lifecycle.

The Chief Scientist will lead teams to develop innovative cyber solutions, conduct statistical analysis, and engage in technical marketing and proposal writing for national security applications.

As a Machine Learning Computer Vision intern, you will apply deep learning techniques to solve complex computer vision problems, working with experienced staff and collaborating with researchers on innovative solutions.