Top Tech Jobs & Startup Jobs in Boston, MA

As an AI Product Specialist, you'll drive market expansion and customer engagement by defining strategies for AI product growth, conducting market analyses, and supporting sales teams. You'll leverage AI expertise and guide product development and competitive positioning while collaborating across teams to enhance Kensho's AI solutions.

The Special Projects Coordinator will manage calendars, coordinate travel, prepare meeting materials, and support event planning to ensure executives are effective.

The Associate Principal Scientist will design and execute research projects, perform computational analyses, and communicate insights in precision medicine for oncology, collaborating with stakeholders.

Intern will build and enhance cross-platform mobile apps integrating SharkNinja IoT devices (Bluetooth/Wi-Fi/cloud). Responsibilities include implementing real-time syncing, remote control, push notifications, testing and troubleshooting across platforms, writing clean code, participating in code reviews and agile ceremonies, and collaborating with product, UX, and firmware teams to deliver connected product experiences.

The Control Systems & Algorithm Engineering Co-op will design, prototype, and validate algorithms for smart household appliances, focusing on real-time control and system optimization.

The Senior Electrical Engineer will lead embedded electronic design and product development, collaborating on architecture, compliance, and mentoring junior engineers.

The HR Business Partner will support the GTM organization by managing performance operations, handling employee relations, guiding managers, and implementing effective people processes.

As a Senior Data Product Manager, you'll drive product vision, collaborate cross-functionally, develop AI solutions, and deliver data products to improve customer needs and metrics.

The Marketing Lead will develop strategies for marketing to Private Equity clients, lead multi-channel campaigns, and create thought leadership content while collaborating with internal teams and consultants.

The Platform Administrator IV leads platform changes, optimizes performance, automates processes, and mentors junior staff while ensuring platform reliability and compliance.

Conduct inspections of perishable food products to ensure safety and quality, compliance with regulations, and perform quality evaluations. Act as a liaison between distribution and commodities teams, monitor product quality, and support continuous improvement initiatives.

The Data Engineer II role involves optimizing data architecture, developing data pipelines, and supporting analytics initiatives for cross-functional teams.

Drive business growth in LATAM via a full-cycle sales approach, managing existing accounts and acquiring new logos while utilizing AI strategies.

The Engineering Manager will lead a full-stack engineering team, focusing on technical guidance and mentorship while improving software development practices through Agile methodologies. Responsibilities include managing team performance, collaborating with product managers, and synthesizing customer feedback.

The Social Media Manager will develop and execute a global social media strategy, creating engaging content, driving growth, and optimizing performance across platforms like LinkedIn and Instagram.

The Data Science Intern will build predictive models, analyze customer data, and design AI-driven frameworks to improve customer health and retention. This role focuses on hands-on projects involving complex datasets and insights generation.

The Lead AI Engineer will develop AI software components, partner with cross-functional teams, and optimize large-scale AI systems at Capital One.

As a Senior Lead AI Engineer, you will design and deploy AI software components, innovate LLM optimization techniques, and collaborate with cross-functional teams to enhance banking experiences at Capital One.

The Applied Researcher I will collaborate with cross-functional teams to develop AI-powered products, engage in applied research, and build AI foundation models across their development phases, while leveraging technologies to uncover insights from data.