Top Hybrid Jobs in Boston, MA

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.

Lead end-to-end technical initiatives for an IoT cloud platform, shaping architecture, strategy, and roadmap. Build and scale React/TypeScript frontends, Python backends, cloud infrastructure, databases, and data systems. Improve developer experience, operate production systems, establish engineering standards, mentor engineers, and influence technical direction across teams. Collaborate closely with product and design while delivering reliable systems for monitoring, debugging, and updating connected devices.

Own end-to-end customer onboarding for nRF Cloud, managing implementation projects from kickoff through production rollout. Establish scope, milestones, timelines, and success criteria; align customer stakeholders and technical teams; identify and escalate risks; lead technical workshops and enablement; and improve onboarding processes. The role requires strong project management, technical fluency in firmware and embedded systems, and the ability to create momentum across engineering and executive audiences.

Handle inbound calls and warm leads, consult customers on insurance needs, recommend appropriate property and casualty coverage, and convert prospects into policyholders. Representatives receive paid training and licensing support, work remotely, meet sales and service goals, communicate effectively with customers, and follow assigned weekday and weekend schedules.

Owns and prioritizes the investment accounting product backlog across statutory, GAAP, and tax reporting. Translates accounting, regulatory, and business requirements into user stories, coordinates Agile delivery, monitors regulatory changes, and manages dependencies with technology, data, investment, finance, and vendor teams. The role strengthens data quality, controls, reporting accuracy, and operational efficiency within SimCorp Dimension while supporting regulatory compliance and continuous improvement.

Analyze personal auto insurance performance by state to identify pricing and underwriting opportunities, develop growth and profitability projections, evaluate program launches, monitor marketplace and claims trends, and advise state leadership on strategic decisions. The role partners across pricing, underwriting, product, claims, finance, modeling, and distribution while improving analytical tools and automation.

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.

Conduct applied AI research focused on foundation models, evaluation, and agentic workflows. Build, train, validate, and deploy large-scale deep learning models using technologies such as PyTorch, AWS, Hugging Face, and Lightning. Lead research initiatives, develop platform and solution-level code, scale models for production, collaborate with engineering and product teams, and translate research findings into customer-facing AI products.

Lead enterprise AI engineering strategy and teams building scalable agentic AI platforms. Oversee foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability, and AI operations. Drive build-versus-buy decisions, optimization, responsible AI practices, multi-year technical roadmaps, and cross-functional alignment while developing senior engineering talent and supporting hundreds of production use cases.

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.

Lead client-facing SAP master data governance engagements, including strategy, operating model design, data quality, SAP MDG configuration, migration, solution implementation, and process alignment. Direct workstreams across finance, customer, and supply chain functions; translate business requirements into SAP solutions; manage stakeholders and delivery priorities; analyze governance risks and reporting needs; and coach teams through complex transformation programs.

Leads product strategy and lifecycle management for Azure-native software offerings, from concept through retirement. Sets product direction, translates market and client needs into roadmaps, drives commercialization and go-to-market planning, and guides cross-functional teams through architecture and delivery decisions. Builds executive client relationships, supports business growth, applies AI-native development practices and Azure capabilities, validates software quality and security, and mentors product and technology leaders.

Leads commercial CRM sales for ServiceNow by selling to customer service, field operations, revenue operations, and sales leaders. Builds executive relationships, develops account and territory plans, leads virtual teams, conducts discovery and demonstrations, advises customers on CRM solutions, manages business reviews, and identifies expansion opportunities. Requires software or solutions sales expertise, strong quota performance, C-level relationship management, AI fluency, and willingness to travel up to 50%.

Lead security across data, cloud, applications, corporate systems, and AI platforms. Manage incident response, security monitoring, vulnerability management, automation, governance, regulated-data controls, vendor relationships, budget, and the security roadmap. Build and manage a security engineering team, partner with engineering and infrastructure teams, conduct control testing and tabletop exercises, support audit readiness, and report security posture and risks to leadership.

Build and maintain production forecasting models for recognized revenue and COGS, connecting product usage, pricing, infrastructure costs, and unit economics. Partner with Finance, Product, Engineering, Data Science, and Go-to-Market teams on planning, scenario analysis, variance investigations, and model governance. Establish forecasting standards, monitor accuracy and drift, develop scalable data foundations, and communicate insights to technical stakeholders and executives.