Top Artificial Intelligence Jobs in Boston, MA
As a Growth Marketing Associate, responsible for developing and executing paid media campaigns to drive lead generation, brand awareness, and revenue growth. Requires analytical capabilities and understanding of paid search and paid social channels.
As a Growth Marketing Analyst, responsible for developing and executing paid media campaigns to drive lead generation, brand awareness, and revenue growth. Requires analytical capabilities, creative thinking, and understanding of paid search or paid social channels. Play a pivotal role in driving company's growth and success through effective paid media campaigns.
Develop and execute paid social campaigns on Meta and LinkedIn to drive lead generation, brand awareness, and revenue growth. Responsible for managing day-to-day campaign operations, conducting competitive analysis, tracking KPIs, and supporting testing of new platforms. Collaborate with creative resources to develop ad messaging and assets based on data insights.
Join the database kernel team and contribute to the design and implementation of components of the database engine and its embedded programming language. Analyze and optimize algorithms and data structures for efficiency. Develop and maintain database management APIs and enhance interactions with modern operating systems and hardware devices.
The Principal Database Kernel Developer will be responsible for designing, implementing, and enhancing components of the database engine and its embedded programming language. They will also analyze and optimize algorithms and data structures, develop and maintain database management APIs, and stay up-to-date with the latest technology.
The Senior Systems Architect will be responsible for identifying requirements, designing system architecture, and ensuring performance optimization, scalability, and resilience. They will have extensive experience in the VA VDIF Program and will provide guidance to technical staff. The role requires strong knowledge of technical architectures, preferably InterSystems Products.
Work closely with development and test engineers to build new optical systems for military applications. Fabricate, assemble, and integrate electro-mechanical assemblies. Manage rapid prototyping process and R&D tasks independently. Travel to external labs and test sites as needed.
Seeking a Chief Architect with expertise in navigation, localization, and positioning technologies to lead the design and development of advanced military systems. Responsibilities include algorithm design, sensor fusion, simulation testing, and system optimization. Must have a Master's or PhD in Aerospace Engineering or Electrical Engineering.
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Manage cross-organization programs, projects, integrations, and migration efforts, establish work plans, and staffing, ensure goals are met, deliver communications, perform risk assessments, provide leadership, coordinate reporting of metrics, ensure data governance, standardize project documentation.
Lead strategic Salesforce projects, drive efficiency and deal execution, align with Sales facing teams, develop best-in-class processes, and guide organizations through software implementations at Dynatrace, a leader in Software Intelligence.
As a Sr. Project Manager in Sales Operations, lead cross-functional project teams, prioritize and plan projects, address stakeholder commitments, identify and manage areas of risk/opportunity, and implement continuous improvements. Manage Sales Champion program logistics, develop Sales enablement playbook, and provide regular project status updates. Minimum qualifications include a HS diploma or GED with 3 years of Sales Operations Project Management experience.
True Fit is seeking a Senior Product Manager to focus on rebuilding their machine learning recommendation engine. The role involves designing and bringing to market the next generation machine learning engine and working with cross-functional teams to develop new and improved experiences for shopper-facing products.
True Fit is looking for a Senior Engineer (Full stack) to work with a cross functional team of developers, product managers, UX researchers, and data scientists in the US. This is an exciting opportunity to work on a brand new user experience journey using some of the latest technologies in this space.
The Director GTM Revenue Operations is responsible for ensuring True Fit's go-to-market teams have the processes, tools, data, and enablement to operate at their best. They will work closely with Sales, Customer Success, and Marketing teams to drive revenue effectiveness and GTM performance.
As a Manager in Oracle consulting at PwC, you will work on helping organizations use enterprise technology to achieve their digital technology goals. Responsibilities include problem-solving, developing new skills, resolving issues, coaching team members, and analyzing complex ideas. Preferred skills include managing the Lead-to-Revenue cycle, working with Oracle CX, understanding revenue recognition, and compliance requirements.
The Technical Director is responsible for set up and operation of the production switcher and associated technical equipment in the control room environment.
SFL Scientific is looking for a Senior DevOps Engineer to join our growing data engineering team and support our AI consulting practice. In this role, the ideal candidate will define, design, and develop solutions for multiple projects that leverage best practices and emerging DevOps, MLOps, and cloud solutions.
The Senior Software Engineer at Liberty Mutual will lead the adoption of secure delivery practices across the developer community, focusing on improving the Secure Development Lifecycle, empowering secure development, conducting code reviews, and collaborating with developers on cyber security best practices. The role requires technical problem-solving skills, customer-centric engineering, mentoring junior engineers, and forward-thinking strategic implementations.
ZS is seeking a Data Science Engineer to work on predictive modeling for the clinical development ecosystem. Responsibilities include building model pipelines, scaling machine learning algorithms, enhancing ML Engineering platforms, implementing ML Ops, and writing production-ready code.
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