Top Hybrid Jobs in Boston, MA

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%.

Manage strategic relationships with GSI partners including KPMG and DXC. Develop joint go-to-market plans, coordinate sales, marketing, enablement, services, and partner programs, drive opportunity registration and forecasting, support deal execution, manage contracts and MDF, conduct business reviews, and serve as an escalation point. The role requires strong cybersecurity solution knowledge, executive partner relationships, channel sales experience, and a proven record of quota achievement.

Manage strategic global systems integrator partnerships with Infosys, HCL, and TCS. Develop joint go-to-market, business, marketing, enablement, and partner program plans; coordinate sales alignment, deal registration, forecasting, services, and executive relationships. Drive partner visibility, pipeline, events, training, compliance, and issue resolution while collaborating with ServiceNow, sales, marketing, services, and regional teams to expand cybersecurity solution adoption.

Design, develop, deploy, and support foundational AI systems, including LLM inference, multimodal safety guardrails, agents, similarity search, evaluation, governance, and observability. Optimize large-scale AI systems for cost, latency, throughput, reliability, and hardware utilization. Lead architecture and technical reviews, define AI reliability objectives, ensure security and compliance, and mentor engineering staff.

Leads full-stack engineering teams, technology portfolios, and large-scale cloud-native initiatives. Responsibilities include setting technical strategy, mentoring engineering leaders, guiding architectural decisions, managing roadmaps and investment priorities, delivering distributed systems, and aligning engineering execution with enterprise goals. The role involves collaboration with product and platform leaders, oversight of Agile programs, succession planning, and occasional coding or code evaluation using modern cloud, database, container, and programming technologies.

Develops enterprise-level perspectives on competitive, market, and product dynamics; synthesizes research into decision-ready narratives for senior leaders. Responsibilities include analyzing competitor and industry trends, identifying strategic risks and opportunities, supporting leadership discussions, maintaining competitive profiles, preparing external-party briefings, and partnering with Product, Distribution, and Corporate Strategy. The role uses insurance and financial-services data sources, internal datasets, and AI tools to strengthen market and competitor tracking.

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.

Build and maintain full-stack promotions systems, including React.js interfaces, backend services, APIs, and internal tools. Collaborate with product managers, designers, and engineers to deliver incremental improvements. Write tested, maintainable code; debug production issues; improve system reliability, security, performance, and observability; participate in reviews and design discussions; and document domain knowledge while supporting customer-focused experiences.

Develop, test, debug, and deploy scalable software components and services. Apply algorithms, data structures, and design patterns while contributing to service and data architecture, DevOps, infrastructure as code, cloud services, monitoring, and deployment pipelines. Troubleshoot production issues, improve engineering practices, and participate in on-call rotations.

Analyze operational, customer survey, qualitative, and unconventional data to identify retention drivers and customer pain points. Synthesize findings into actionable recommendations, improve reporting, provide operational consulting, and present insights to senior leaders. The role requires advanced statistical and analytical skills, strong SQL and Snowflake capabilities, familiarity with Python and Cortex, and effective cross-functional communication.

Leads global risk assessment, financial controls, audit remediation, account reconciliation, attestation programs, and external partner controls audits. Partners with underwriting, claims, compliance, finance, auditors, and international stakeholders to resolve findings and strengthen the control environment. Uses GenAI to streamline analysis and create repeatable workflows while coaching team members across time zones.

Investigates and processes commercial insurance claims within assigned authority limits. Responsibilities include determining coverage, assessing damages and losses, setting reserves, negotiating settlements, preparing estimates, documenting claim files, communicating with insured parties and agents, and identifying potential fraud or subrogation opportunities. Requires strong customer service, technology, organization, communication, and claims-handling skills, along with applicable state licensing.

Lead AI product development from ideation through launch and scale. Partner with insurance carriers to identify communication challenges, test AI solutions, define strategy, establish trust, and manage success metrics and pricing insights. Coordinate engineering, design, Customer Success, Support, Sales, and Marketing to drive adoption. The role requires building generative AI products, ideally conversational agents, in a hybrid Boston-based environment.