Top Hybrid Jobs in Boston, MA

Lead Reinsurance Accountant responsible for preparing complex captive and reinsurance financial reports, general ledger entries, reconciliations, accounting research, trend analysis, and process improvements. The role reviews report accuracy, resolves discrepancies, supports internal and external partners, and communicates financial issues to senior management. Candidates need a bachelor’s degree in Accounting or Finance, at least five years of accounting or finance experience, strong accounting knowledge, attention to detail, adaptability, and effective communication skills.

Conduct fundamental research on on-device LLM efficiency and optimization. Develop proposals, survey academic literature, formulate hypotheses, and run experiments involving quantization, fine-tuning, compression, decoding, and model architectures. Collaborate with internal teams and academic labs, transition prototypes into production, publish at leading AI conferences, and independently drive research initiatives from ideation through implementation.

Manages retail media advertiser and supplier relationships throughout pre- and post-sales campaign processes. Develops media recommendations, supports sales materials and contracts, coordinates creative and asset collection, manages campaign setup and trafficking, monitors performance and pacing, communicates optimizations, oversees billing, and finalizes campaign reports. The role also maintains CRM accuracy, manages timelines, and collaborates with analytics, finance, campaign management, and other cross-functional teams.

Leads full-stack software engineering projects and developer teams building cloud-based, distributed microservices and regulatory solutions. Responsibilities include designing service boundaries, developing APIs and reusable frameworks, improving system performance, reducing technical debt, establishing engineering standards, mentoring engineers, and influencing technology strategy. The role uses modern programming languages, databases, AWS and other cloud platforms, containers, CI/CD, infrastructure as code, automated testing, observability, and AI-assisted development tools.

Develop and deploy production machine learning models and infrastructure at scale. Responsibilities include model development, data pipeline construction, cloud and Kubernetes operations, distributed data processing, CI/CD automation, model monitoring and retraining, responsible AI governance, and collaboration with product and data science teams. The role requires strong programming, machine learning, distributed systems, and production deployment expertise.

Build and lead full-stack software engineering initiatives using distributed microservices, cloud platforms, APIs, databases, and modern front-end technologies. Provide technical leadership across Agile teams, establish engineering standards, mentor developers, partner with architects and product managers, reduce technical debt, improve system performance, and influence long-term technology strategy. The role emphasizes AWS and other cloud technologies, open-source frameworks, CI/CD, automated testing, observability, and AI-assisted development tools.

Leads enterprise-scale digital transformation programs using Microsoft Azure AI, Fabric, Power Platform, Copilot, and related technologies. Oversees cross-functional delivery teams, AI operationalization, governance, risk mitigation, client alignment, business development, and digital strategy. Develops reusable assets, training programs, and delivery methodologies while strengthening Microsoft capabilities and partnerships. Requires extensive life sciences consulting experience, large-scale program leadership, stakeholder management, and familiarity with Agile, DevOps, and product-centric execution.

Perform top-of-funnel business development to identify, qualify, and generate pipeline. Prospect enterprise and mid-market accounts through phone, email, and LinkedIn; meet daily activity targets; manage leads in Salesforce and Salesloft; collaborate with Account Executives and Marketing to create qualified opportunities; deliver consultative value propositions and territory expertise to support quarterly revenue goals.

Leads Earnix and Guidewire configuration workstreams for insurance clients, translating business needs into system designs and implementation tasks. Manages project scope, timelines, deliverables, testing, defect resolution, and release readiness across policy, billing, and claims platforms. Coaches teams on Guidewire configuration, integrations, software development, and delivery quality while supporting client discussions on operational transformation, cloud adoption, and data initiatives.

Develop and execute global Marketing and Sales Support procurement strategies. Lead strategic sourcing, supplier negotiations, contracting, category spend management, commercial models, supplier performance, risk mitigation, and value realization. Partner with Commercial, Finance, Legal, Procurement, and regional stakeholders across a global matrix. Use market intelligence, spend analytics, automation, and AI-enabled solutions to optimize costs, service, innovation, sustainability, and business outcomes.

Leads development of real-time signal processing and edge inference for consumer health products. Owns algorithms from prototyping and validation through embedded productization, optimizing for compute, memory, latency, and power constraints. Collaborates with hardware, software, machine learning, and product teams; evaluates third-party solutions; integrates algorithms into embedded systems; mentors junior engineers; and advances research-to-production capabilities.

Owns Imprivata’s end-to-end revenue pipeline operating discipline, improving pipeline creation, qualification, progression, forecasting, data quality, and conversion. The role leads cross-functional governance across Marketing, Sales Development, Sales, Finance, and Business Operations; develops playbooks, dashboards, predictive analyses, and inspection routines; ensures Salesforce accuracy; coaches leaders; and advises executive stakeholders on pipeline performance, risks, and revenue predictability.