Top Tech Jobs & Startup Jobs in Boston, MA

The Manager of Power Supply will be pivotal in sourcing renewable power for Antora's projects, negotiating power supply agreements, and engaging with renewable developers and utility partners. This role also involves influencing policy to enhance market opportunities for large flexible power loads.

The VP of Data Science will lead Vevo's data science team, developing strategies and overseeing machine learning and AI applications to improve business processes in advertising and media. The role involves project management, collaboration with various departments, and ensuring high-quality deliverables, while coaching and growing the team of data scientists.

Corvee is looking for talented individuals to join their team. They encourage candidates to submit their resumes for potential open positions, which will be reviewed by the People department. If a suitable role is identified, they will reach out to discuss the opportunity.

As a Data Scientist III at Intuit Credit Karma, you'll identify opportunities to enhance data utilization for financial services, optimize machine learning models, collaborate with marketing and engineering on model adoption, and explore advanced data science techniques in personal finance. The role focuses on leveraging large-scale models within a growing data science team to support financial products.

Lead the development of the Mojo compiler, drive design and implementation of new features, provide technical leadership to the team, and collaborate with internal and external stakeholders.

The Marketing Operations Manager at RVO Health will execute lifecycle marketing email/SMS initiatives, collaborate with cross-functional teams, optimize communications, and manage marketing technology to enhance customer experiences. Key responsibilities include managing automation, conducting quality assurance, and developing data-driven marketing strategies.

The Survey Data Analyst will manage survey data initiatives, develop questionnaires, analyze data, summarize findings, and make recommendations. Responsibilities include data processing, quality control, and supporting project closeout activities. The role requires interaction with clients to improve operations through data-driven insights.