Top Tech Jobs & Startup Jobs in Boston, MA

Lead the vision, roadmap, discovery, development, and launch of AI-enabled analytics products for nursing and medical education. Translate customer and business needs into product strategies, prioritize backlogs, align cross-functional teams, define success metrics, and use feedback and data to improve outcomes. The role requires responsible AI practices emphasizing quality, privacy, transparency, and trust.

Leads cross-functional process standardization initiatives across Client Services. Responsibilities include mapping current processes, creating SOPs and knowledgebase content, managing project plans and milestones, coordinating stakeholders, assessing automation readiness, measuring KPI improvements, and driving adoption of standardized workflows.

Develop and lead strategic brand storytelling and integrated communications campaigns for Cell Press. Create and commission compelling content, coordinate web, social, email, and other channels, and translate complex scientific subjects into accessible stories. Define KPIs, analyze campaign performance, present insights to senior stakeholders, and manage freelancers and external partners while balancing multiple priorities.

Leads security compliance for a FedRAMP-authorized cloud environment. Maintains the ATO, coordinates continuous monitoring, assessments, audits, penetration testing, risk reviews, POA&M remediation, security documentation, and NIST control implementation. Partners with engineering, DevOps, cloud operations, compliance, and government stakeholders to support incident response, secure system changes, cloud deployments, and audit readiness.

Leads and develops a North American PMO team while overseeing end-to-end project portfolio delivery. Responsibilities include resource assignment, portfolio health, financial performance, risk and escalation management, executive reporting, project governance, quality assurance, stakeholder alignment, and delivery process improvement. The role drives consistent use of PMO tools and methodologies, ensures accurate Adaptive Work data, and supports successful project closure and business outcomes.

Develops, licenses, and manages analytical tax, accounting, and legal content for professional customers. Responsibilities include researching tax law, legislation, regulations, and case law; writing and editing practical guidance; using generative AI to improve content workflows; recruiting authors and negotiating licensing agreements; and collaborating with editorial, product, technical, sales, and marketing teams. Requires a JD, CPA designation, significant accounting experience, and at least two years each of tax legal and accounting experience.

Design, develop, and deploy ML, NLP, and generative AI solutions to improve scientific discovery. Build retrieval, recommendation, ranking, and RAG systems; fine-tune and evaluate LLMs; create evaluation frameworks; build scalable data pipelines; collaborate with cross-functional teams and produce production-quality Python code to deliver reliable, impactful AI systems for research use.

Leads technical execution for enterprise AI innovation squads from discovery through production. Designs and governs agentic AI patterns, including orchestration, tool use, memory, and retrieval; integrates AI with enterprise systems; and ensures security, governance, and data-residency compliance. Converts prototypes into scalable reusable solutions, reference implementations, and starter kits. Partners with stakeholders, manages delivery priorities and dependencies, evaluates technologies, measures outcomes, and mentors engineers.

Design, build, evaluate, and scale production-ready AI solutions (LLMs, NLP, retrieval, RAG, knowledge graphs) to support scientific discovery. Lead architecture, mentor data scientists, partner with engineering and product, and measure model quality, trustworthiness, and user impact.

Lead and develop data science teams to deliver AI/ML, NLP, search, retrieval, and generative AI products for scientific discovery. Set strategy, ensure model quality and responsible AI, partner with product and engineering, mentor staff, and drive measurable impact from research to production.