Top Artificial Intelligence Jobs in Boston, MA

The role requires managing renewal engagements for mid-market accounts, exceeding sales targets, and collaborating with customer success teams to ensure client's satisfaction and retention.

The Senior Deal Desk Programs Analyst manages third-party finance programs, supports Deal Desk initiatives, drives operational improvement, and collaborates with cross-functional teams.

The Senior Director of Executive Recruiting leads executive hiring strategies, partners with C-suite, manages a recruiting team, and ensures high-quality candidate experiences.

Lead the evolution of Snyk Code's product strategy, collaborating with teams to inspire innovation and deliver impactful application security solutions.

The Software Engineer will develop and maintain features for mabl's AI-powered testing platform for mobile apps, collaborating with teams and integrating user feedback.

The Account Manager will drive sales of materials science solutions, manage key accounts, forecast revenues, and develop market opportunities while collaborating with scientific teams and traveling for business.

As a Senior Software Engineer, you'll design and implement resilient full stack services, optimize code performance, manage projects, and tackle technical debt while ensuring high software quality standards.

Develop scalable SaaS solutions that solve regulatory problems, write quality code, and collaborate with team members in a dynamic environment.

The Inside Sales Representative generates new business opportunities, manages customer accounts, and collaborates with teams to improve sales processes and strategies.

Seeking a Senior ML Generative AI Scientist to develop AI models for healthcare, enhancing patient care and clinical workflows. Responsibilities include collaboration, research, and implementation of generative AI techniques.

Lead demand generation and revenue growth initiatives, build growth marketing strategies, and optimize campaign performance in a B2B SaaS setting.

As a Backend Engineer, you will build and maintain APIs, optimize data processing pipelines, and scale infrastructure while collaborating with various teams.

As a Machine Learning Engineer, you will design, build, and maintain scalable ML systems, applying advanced NLP techniques to extract insights from data and automate the ML model lifecycle.

The QA Lead will mentor a global team, ensure product quality, handle client issues, and collaborate with cross-functional teams.