Top Senior Level Jobs in Boston, MA

Designs and develops full-stack, data-centric applications using Python, TypeScript, React, AWS, microservices, APIs, data pipelines, predictive models, and GenAI workflows. Collaborates with data scientists, engineers, product managers, and stakeholders to build, test, maintain, and support applications throughout their lifecycle. Responsibilities include API and data architecture, automated testing, technical debt reduction, backlog refinement, observability, and engineering excellence.

Manage moderate- to high-exposure construction liability claims involving bodily injury and property damage. Responsibilities include investigations, coverage analysis, reserving, liability evaluation, litigation management, defense counsel coordination, settlement negotiations, and claim resolution. The role also provides technical guidance and coaching to less experienced adjusters, supports mediations and arbitrations, and helps monitor team caseloads and quality standards.

Lead community and inclusion initiatives within the People & Talent team. Manage Employee Resource Group partnerships, coaching, corporate giving, employee events, and programs supporting hiring and retention. Track program outcomes, build sustainable processes, support diverse talent partnerships, and collaborate across HR functions. The role requires strong stakeholder management, communication, project execution, cultural competence, and comfort navigating ambiguity.

Leads client-facing generative AI and data modernization engagements, directing solution design, delivery planning, architecture, and technical decisions. Guides teams in prompt engineering, context engineering, agent orchestration, LLM evaluation, RAG, vector databases, and AI guardrails. Oversees cloud AI implementations using Gemini, Vertex AI, AWS Bedrock, or Azure AI Services; develops Python prototypes; evaluates model performance; manages workstreams and deliverables; and mentors staff on AI methods, agile delivery, and technical problem-solving.

Leads enterprise AI governance initiatives, including governance frameworks, risk and compliance programs, controls, regulatory assessments, and responsible AI practices. Advises executive clients, oversees complex engagements, drives business development, develops innovative solutions, mentors teams, and translates technical AI governance concepts into actionable strategies. Requires expertise in AI/ML governance, risk, controls, audit, testing, validation, AI lifecycles, and leading frameworks such as NIST and ISO.

Designs and optimizes AI and machine learning solutions, transforms data into insights, and develops production AI systems. Responsibilities include building data infrastructure, speech recognition and NLP tools, and reusable evaluation and monitoring capabilities. The role independently tests AI systems for performance, robustness, bias, explainability, and failure modes; evaluates technical controls; documents findings; communicates recommendations to clients; and mentors junior team members.

Designs digital experiences and visual assets across Bose-owned and third-party platforms, including product pages, editorial content, email, social media, app messaging, and landing pages. Collaborates with UX, creative, marketing, and production teams to develop customer-centered designs. Applies responsive web, mobile, CMS, design system, typography, layout, usability, and interaction design principles while presenting concepts and supporting brand systems.

Owns project delivery across DigitalOcean’s go-to-market systems, including Salesforce, sales engagement, customer success, CPQ, enrichment, and data platforms. Builds integrations, automations, AI-powered workflows, and data flows; manages tier 2 escalations; performs Salesforce administration; supports solution design, vendor coordination, testing, rollout, and enablement. The role also documents reusable patterns, mentors an engineer, and partners with technical program management on cross-system initiatives.

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 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.

Leads complex enterprise IT solution deployments for healthcare clients, managing project plans, budgets, schedules, staffing, risks, vendors, and client relationships. Coordinates internal and external teams, tracks project progress and deliverables, communicates with leadership, supports SOW and budget estimation, resolves issues, and contributes to professional services project management methodologies.

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.

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 multiple software engineering teams and sets technical strategy for scalable, resilient cloud platforms. Responsibilities include mentoring engineers and managers, guiding architecture and design standards, overseeing full-stack development, deploying applications to AWS, modernizing monoliths into microservices, improving engineering practices and delivery velocity, and partnering with product and executive leaders. The role also owns talent strategy, succession planning, workforce development, and technical health across engineering organizations.

Leads full-stack software engineering teams and technology portfolios supporting risk and GRC solutions. Responsibilities include managing developers, setting technical strategy, driving cloud-native distributed-system design, mentoring engineering leaders, partnering with product and architecture teams, defining roadmaps, and delivering large-scale initiatives. The role involves JavaScript and TypeScript ecosystems, multiple programming languages, AWS and other cloud platforms, microservices, databases, Kubernetes, AI-enabled solutions, and enterprise technical governance.

Design, develop, deploy, and optimize production AI systems, including foundation models, LLM inference, agentic workflows, vector search, guardrails, and model evaluation. Lead architecture, cost-performance governance, technical reviews, and long-term roadmap development. Apply advanced optimization techniques to improve scalability, latency, throughput, hardware utilization, and inference costs while ensuring responsible AI standards. Mentor senior technical leaders and collaborate with engineers, scientists, technical program managers, and product managers.