Top AI Jobs in Boston, MA

The Director, Oncology Translational Research oversees genomic, transcriptomic, and proteomic data integration for cancer biology, guiding clinical trials and biomarker development while leading a team and collaborating across departments.

The Senior Software Engineer will lead technical areas, drive projects, and build AI/ML features using Python and Go while ensuring user-friendly experiences.

The Senior Program Manager will lead Foundational AI projects, translating complex strategies into operational plans and ensuring project alignment across technical and business teams.

The role involves designing and operating AI systems, building data pipelines, fine-tuning models, and mentoring team members while collaborating with product and data science teams.

Lead engineering efforts in transitioning a SaaS platform to Native AI, manage teams, drive AI product development, and promote a culture of innovation.

You will partner with cross-functional teams to deliver AI-powered products, design and develop AI software components, and introduce optimization techniques.

The Principal Research Scientist will lead research on resilient AI, manage projects, publish findings, secure grants, and supervise staff and students.

Lead projects in AI and data science by managing timelines, scope, and team collaboration. Ensure stakeholder alignment and drive project execution.

Lead the development of multimodal foundation models for health intelligence at WHOOP, guiding technical execution and aligning with company goals.

The Vice President/Head of AI will define and execute the AI strategy, oversee R&D for AI/ML models, integrate AI capabilities across products, and lead a high-performing AI team, ensuring ethical standards and compliance.

The AI Engagement Manager will lead strategic relationships with clients to implement AI solutions, driving business transformation and optimizing operations in the housing sector.

Own Klaviyo's AI product vision and 12–24 month roadmap; translate models and data into AI-native customer experiences; build AI product operating systems, evaluation frameworks, and experiment culture; partner with Engineering, Data, Design, and GTM; ensure responsible AI; and hire and develop a high-performing AI-focused PM team.

Lead AI-driven analysis bridging unstructured customer feedback and structured data to surface insights, drive retention, improve Care operations, build analytical playbooks, and influence senior leadership.

The Associate Director, Consumer Marketing will develop strategies for engaging T1D patients and families, oversee consumer marketing efforts, and collaborate with internal stakeholders.

Lead statistical strategies for clinical trials, manage projects, mentor junior staff, and implement innovative statistical methodologies within the Medical Affairs Biostatistics team.

The Commercial Financial Analyst will manage revenue forecasting, financial reporting, and analysis while supporting business leaders with financial insights and ad hoc projects.

The Contracts Manager will oversee the contract lifecycle for university agreements, including drafting and negotiating contracts, ensuring compliance, and implementing process improvements. The role involves collaborating with stakeholders and leveraging technology to streamline contract management.

The position involves teaching, conducting research on AI and wearable devices related to human movement, and engaging in university service.

The Principal R&D Engineer will lead embedded software projects, contributing expertise in software architecture, robotics, and AI, collaborating with multi-disciplinary teams.

As an Advisory Solution Consultant, you will engage with customers to create AI solutions, conduct workshops, and design proofs of concept. You will work in a collaborative environment and apply your technical knowledge to solve client challenges effectively.

Lead development and execution of market access strategy for insulins, engaging payers, institutions, and channel customers. Drive pricing, contracting, HEOR/RWE alignment, vendor management, cross-functional collaboration, and AI-enabled payer engagement to secure formulary access and reimbursement.

Lead strategy and execution for enterprise-scale AI models and infrastructure. Drive end-to-end AI feature delivery, define impact metrics, integrate MLOps and developer practices, build executive dashboards, align cross-functional teams, and scope emergent, ambiguous initiatives through early discovery and transition to product teams.

Lead and grow an engineering team to design, deploy, and operate scalable, compliant AI platform services (LLM integration, vector DBs, RAG). Own technical design, delivery, standards for model deployment and orchestration, and partner with product, data science, architecture, and security.

As an AI Outcomes Manager, you will lead AI adoption in legal practices, create measurable workflow solutions, and ensure effective product implementation aligned with client needs.

The role involves creating technical content, managing technical communities, and fostering relationships in cloud and AI technology while maintaining a hands-on approach with technology.