Top Hybrid Jobs in Boston, MA

Participate in an 11-week commercial lines underwriting internship, learning to evaluate business operations, assess risk, develop insurance solutions, and support business decisions. Work alongside underwriting professionals on meaningful projects while building analytical, problem-solving, communication, negotiation, relationship management, and decision-making skills. Gain exposure to commercial insurance products and professional development opportunities.

Leads enterprise business transformation engagements for an investment organization, designing target operating models, governance frameworks, business capabilities, organizational structures, and investment processes. Partners with senior leaders across investment, operations, finance, product, data, and technology to translate strategy into execution. Facilitates executive workshops, establishes performance metrics, optimizes public and private market workflows, guides implementation, and applies AI-enabled tools to improve transformation delivery.

Leads the Coverage & Insights team within Global Legal & Compliance, providing strategic legal advice on insurance coverage, policy interpretation, regulatory changes, and emerging industry trends. The role scales coverage-support frameworks, develops performance dashboards and monitoring tools, optimizes workflows and resource allocation, and partners across legal and business teams. It also manages experienced attorneys, drives continuous improvement, supports product and line-of-business outcomes, and advises on complex first- and third-party commercial insurance matters.

Own and operationalize Dynatrace’s global Partner Services Program, including partner certification, tiering, quality audits, endorsements, delivery standards, and governance. Establish repeatable operating cadences, assess partner capability, enforce customer satisfaction standards, define engagement responsibilities, maintain enablement frameworks, and report quality metrics to leadership. Build the program as it scales and lead a small team while maintaining accountability with commercial partners.

Lead end-to-end mechanical engineering for next-generation biometric wearable products, from concept through manufacturing release. Own system-level design, analysis, validation, documentation, supplier coordination, DFM, root-cause analysis, and production readiness. Develop SolidWorks models, drawings, BOMs, and ECOs; manage verification and validation testing; collaborate with contract manufacturers and cross-functional teams; and mentor junior engineers. Travel internationally up to 20% and work from the Boston office.

Develop, validate, debug, and deliver wireless systems for wearable products from prototypes through production. Define RF validation plans, characterize transmitters, receivers, antennas, coexistence, interference, and OTA performance, and create automated test methods. Analyze failures, guide RF-critical PCB and antenna design, establish production test limits, support manufacturing troubleshooting and regulatory certification, and collaborate across engineering and product teams. The role requires up to 15% domestic and international travel and is based in Boston, Massachusetts.

Leads a team of Change Management Specialists and owns the Membership Services change management framework. Responsibilities include change intake, impact assessment, governance, implementation planning, adoption measurement, stakeholder alignment, risk management, frontline engagement, and post-implementation reinforcement. The role manages team capacity, supports complex initiatives, coaches employees, incorporates operational and member data, and guides responsible use of AI-enabled tools.

Lead application security and DevSecOps strategy across cloud, on-premises, hybrid, and traditional product environments. Embed security controls into software development and CI/CD, establish secure-by-default standards, automate policy and infrastructure security, protect software supply chains, and address application, cloud, identity, API, AI, and endpoint risks. Partner across engineering, product, operations, SecOps, and GRC to prioritize vulnerabilities, support incident response, maintain compliance evidence, and drive measurable security adoption.

Leads the DevSecOps and application security function, managing the team, program strategy, roadmap, tooling, vendors, and budget. Establishes security-by-design practices, threat modeling, secure development guidance, and training. Governs application and software supply-chain security across CI/CD, cloud, containers, infrastructure, APIs, and on-premises environments. Oversees vulnerability management, security testing, remediation, reporting, and risk processes while partnering with engineering, IT, cloud, SecOps, GRC, and architecture teams.

Build and improve software, platforms, and operational frameworks for incident response, on-call readiness, post-mortem learning, and engineering resilience. Lead incident-process design, facilitate reviews, mentor engineers, train on-callers, and drive cross-functional reliability initiatives. The role requires experience with distributed systems, Kubernetes, incident analysis, on-call operations, and software development primarily in Go and Python, with some TypeScript.

The job description is currently listed as TBD, so specific responsibilities and qualifications are not provided. Based on the title, this role likely focuses on architecting enterprise artificial intelligence solutions and guiding AI strategy across the organization.

The job description does not provide specific responsibilities or qualifications. Based on the title, the role appears focused on enterprise artificial intelligence intelligence and financial operations optimization.

Leads software engineering projects and development teams building cloud-based, full-stack solutions for risk management and regulatory needs. Designs distributed microservices, APIs, reusable frameworks, and robust systems using modern programming languages, databases, containers, and AWS services. Provides technical leadership across Agile teams, mentors engineers, improves system performance, reduces technical debt, establishes engineering standards, and contributes to long-term technology strategy.

Manage the development, implementation, governance, and adoption of enterprise ontologies and optimized data models. Partner with Finance, Technology, Product, Machine Learning, and enterprise teams to support ERP replacement, semantic technology integration, data standardization, and data harmonization. Own the ontology roadmap, establish standards using W3C technologies, communicate strategic vision, manage and mentor teams, and advocate for semantic technologies across the organization.

Design, build, and support scalable cloud data platforms, pipelines, and applications using Python, Spark, SQL, AWS, Databricks, and Snowflake. Develop distributed, real-time, and batch data solutions; apply data modeling, security, encryption, and access controls; enforce reusable engineering patterns; and collaborate with product, software, analytics, and data science teams. The role also involves mentoring, communicating technical concepts to stakeholders, supporting operational resilience, and independently delivering cloud-first data solutions.

Supports sales opportunities as a technical presales expert by conducting discovery meetings, presentations, product demonstrations, technical validations, and proof-of-concept engagements. Partners with sales, services, customer success, and prospects to align Nexthink’s digital employee experience platform with business outcomes. Completes technical RFI, RFP, and security questionnaire responses, supports opportunity qualification, and participates in webinars and marketing events.

Own and grow strategic Global System Integrator partnerships, primarily Accenture, to generate global sourced and influenced pipeline. Develop joint business plans, solutions, value propositions, enablement, and go-to-market messaging while connecting partner executives, regional alliances teams, sales, marketing, and solutions engineering. Drive Snyk’s adoption as a preferred DevSecOps and developer security vendor across enterprise markets.

Build and deliver production-grade agentic AI systems for wealth management, using Java and modern software engineering practices. Responsibilities include designing scalable architectures, developing and testing solutions, applying AI-assisted development tools, validating adaptive systems, participating in deployments and code reviews, troubleshooting root causes, and contributing to reusable engineering foundations. The role also requires collaboration in architecture discussions, continuous learning, and understanding business outcomes.