Top Hybrid Jobs in Boston, MA

Guide law firm clients through onboarding, configuring case management platforms, data migration, testing, training, and ongoing advisory to optimize workflows, automations, and adoption.

Provide technical support for the SciSure SaaS platform through Zendesk, troubleshoot and investigate product issues, assist with migrations and configurations, escalate complex incidents to engineering, and communicate resolutions to customers. Maintain product documentation, monitor recurring issues and feedback, support Developer Hub users, and advocate for improvements to customer experience and support processes.

Lead MacPaw’s global PR and communications strategy, shape corporate and product narratives, build relationships with top-tier technology media, manage reputation and industry events, establish PR KPIs and reporting, integrate AI into communications workflows, oversee budgets, and mentor a high-performing PR team.

Manage routine to moderately complex insurance claims from investigation through resolution. Determine coverage, liability, compensability, reserves, and damages; conduct investigations, negotiate settlements, refer claims when appropriate, and communicate with claimants, policyholders, attorneys, appraisers, and other parties.

Independently underwrites complex environmental site pollution insurance accounts, evaluating environmental, legal, financial, and technical risks. Determines coverage, pricing, exclusions, limits, and policy terms within underwriting authority. Manages broker and client portfolios, develops profitable business, maintains senior market relationships, supports underwriting process improvements, explains coverage differences, monitors regulatory developments, and mentors underwriters and internal partners.

Investigates and processes commercial insurance claims, determines policy coverage, assesses damages, establishes reserves, negotiates settlements, prepares estimates, and maintains accurate claim documentation. The role requires direct communication with insureds, claimants, agents, and internal teams, while identifying potential fraud or subrogation opportunities and coordinating with appraisal and investigative units.

Lead the vision, strategy, and roadmap for automated inbound planning products across 13 fulfillment centers. Partner with engineering, data science, supply chain, transportation, inventory, and operations teams to convert complex planning challenges into scalable technical solutions. Manage requirements, dependencies, launches, KPIs, and continuous improvement while influencing senior leaders and aligning cross-functional priorities.

Lead the Cloud Platform engineering team responsible for scaling and operating nRF Cloud, an IoT platform supporting millions of devices. Own reliability, performance, infrastructure, databases, security, observability, and the technical roadmap. Manage team productivity, culture, hiring, and cross-functional alignment while remaining hands-on through architecture, code reviews, and production debugging. Drive platform excellence, sustainable on-call practices, and pragmatic technical investment.

Leads multiple software engineering teams responsible for AML technology, including detection, investigation, and reporting platforms. Drives engineering strategy, architecture, cloud deployment, modernization from monoliths to microservices, system resilience, scalability, and operational excellence. Partners with product and executive leaders, mentors engineers and managers, oversees talent strategy, and advances generative and agentic AI innovation across full-stack development.

Lead high-visibility digital health and wellness initiatives, coordinating cross-functional business and technology teams. Manage project scope, execution plans, stakeholder communication, solution recommendations, and delivery outcomes while aligning initiatives with organizational strategy. The role requires managing medium-to-complex projects and technology projects, with strong organizational, communication, and problem-solving skills.

Design, develop, and deploy AI applications using LLMs, enterprise APIs, agentic frameworks, and related technologies. Integrate AI models with existing products, build large-scale Java and Python applications, and use Kubernetes and Docker. Apply prompt engineering, fine-tuning, RAG, deep learning, NLP, and computer vision concepts. Troubleshoot complex application and model issues, stay current with AI advancements, and support advanced software development across cross-functional teams.

Develop and deploy data solutions using Palantir Foundry and AIP for client engagements. Lead technical teams, coach team members, analyze system interactions, build applications with large datasets, and apply data engineering and analytics to deliver client outcomes. The role also includes managing client relationships, planning and executing projects, encouraging technology adoption, resolving stakeholder conflicts, and driving continuous improvement.