Top Senior Level 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.

Owns core product areas across the full lifecycle, from discovery and strategy through execution, launch, and iteration. Conducts customer research, workflow analysis, usability testing, competitive research, and data analysis. Partners closely with engineering and design to deliver scalable user experiences, defines success metrics and instrumentation, and supports launches through messaging and cross-functional readiness. The role also requires hands-on AI experience and operates in a high-ownership, low-structure B2B SaaS environment.

Field-based Account Executive responsible for hunting and closing institutional B2B nursing education sales within New England. Generate pipeline via cold outreach, demos, events, and webinars (60–70%); manage onboarding, retention, and upsell activities (30–40%). Meet quotas, maintain CRM data, collaborate cross-functionally, and travel extensively to secure bulk institutional contracts.

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.

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.

Customer-facing engineer who leads technical discovery, architecture reviews, proofs of concept, and hands-on Memfault integrations for Android/AOSP and embedded Linux platforms. Responsibilities include troubleshooting coredumps, metrics, OTA, and logging; delivering demos and workshops; supporting sales and customer success; and contributing customer insights, documentation, tests, and SDK improvements.

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.

Design, develop, deploy, and optimize foundational AI systems, including LLM inference, foundation model training, agentic workflows, vector search, guardrails, evaluation, and observability. Lead multi-model orchestration, cost-performance governance, architecture reviews, technical roadmaps, and responsible AI standards. Mentor senior technical staff and collaborate with engineers, scientists, product managers, and program managers to deliver scalable AI products.

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.

Build and deploy production-grade AI and machine learning systems supporting biomedical research and drug discovery. Own technical solutions from architecture through deployment, including data pipelines, retrieval systems, knowledge systems, inference services, evaluation frameworks, and human-in-the-loop workflows. Partner with scientists and engineers to transform prototypes into scalable, secure, reliable platforms. Lead technical delivery, make architecture tradeoffs, improve engineering standards, mentor teammates, and promote responsible AI practices.

Build and deploy production-grade AI and machine learning systems supporting biomedical research, including multimodal models, intelligent agents, retrieval, knowledge systems, evaluation frameworks, and inference services. Own architecture through production, make scalability and reliability tradeoffs, establish responsible AI practices, and drive technical delivery. Collaborate with scientists, computational biologists, and platform teams while mentoring engineers and improving engineering standards, observability, and system performance.

Leads learning measurement and impact strategy across Pfizer’s commercial learning portfolio. Defines evaluation standards, metrics, and success measures; oversees behavior- and business-level studies; validates relationships between learning, competency, and business outcomes; presents evidence and recommendations to senior leaders; and builds the organization’s measurement practice and analytical capabilities.

Leads software-enabled consumer product programs from concept through launch and post-launch support. Aligns product, software, firmware, hardware, QA, supply chain, marketing, and vendor teams on scope, schedules, dependencies, risks, and release decisions. Owns integrated plans, launch readiness, budgets, resourcing, delivery metrics, and executive communications while coordinating architecture trade-offs, code freezes, beta programs, QA criteria, and go/no-go decisions.

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.

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.

Provides operational oversight of U.S., Puerto Rico, and Canadian retirement plans, including compliance, testing, governance, vendor management, data controls, audits, and regulatory filings. Partners with Legal, Payroll, Finance, IT, HR, actuaries, trustees, and recordkeepers. Leads complex plan changes, vendor transitions, system enhancements, defined benefit initiatives, stakeholder communications, and continuous improvement efforts while supporting Retirement and Investment Committee activities.

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.