Top Hybrid Senior Level Jobs in Boston, MA

Design, implement, test, and refine real-time noise-cancellation control systems and DSP algorithms for headphones and automotive applications. Conduct electroacoustic and vibration measurements, evaluate adaptive and feedforward algorithms, develop software and validation tools, support legacy systems, and collaborate across research and engineering teams. The role is hybrid in Framingham, Massachusetts and includes up to 10% domestic and international travel.

Lead the AI strategy, roadmap, architecture, and development of production-grade AI systems within a strategic business domain. Identify high-value opportunities, drive adoption and measurable business outcomes, establish evaluation, testing, guardrail, and observability practices, and mentor AI engineers and agent builders. Partner with product managers, business leaders, and end users to advance AI transformation while ensuring scalable, reliable, and maintainable solutions.

Leads engineering teams developing automation and robotic process automation solutions while advancing responsible AI-enabled transformation. Partners with product, operations, and technology leaders to modernize service processes, reduce manual effort, improve quality, and deliver employee and customer value. Responsibilities include managing complex technology development, optimizing teams, applying technology standards, building cross-functional consensus, and translating emerging technologies into practical business solutions.

Owns the Campaign Management product platform, including product vision, multiyear strategy, roadmap, backlog, prioritization, KPIs, and stakeholder alignment. Partners with Agile teams, engineering, Marketing, Technology, and data organizations to modernize campaign execution, lead routing, and channel alignment capabilities. Leads customer-driven design, usability testing, delivery planning, product health monitoring, and regulatory prioritization while communicating value and managing expectations across the enterprise.

Leads a team of Energy Underwriters while personally managing a complex energy-risk portfolio. Evaluates new business, renewals, referrals, and policy changes across power, renewable energy, oil and gas, utilities, and infrastructure. Oversees underwriting governance, guidelines, delegated authority, documentation, profitability, pricing, portfolio quality, and risk selection. Coaches employees, supports performance management, develops broker and client relationships, and contributes to broader business initiatives and continuous improvement.

Build and operate production software for active clinical trials, including clinical-system integrations, trial data flows, site activation, monitoring, and signal detection. Design AI-native agents and pipelines with auditability, provenance tracking, and human review in regulated GxP environments. Own multi-quarter technical initiatives, collaborate with clinical, regulatory, QA, data, and infrastructure teams, mentor engineers, and improve validated software delivery workflows.

Leads the data engineering team, including hiring, coaching, technical direction, platform architecture, data pipelines, Snowflake warehousing, governance, quality, observability, and incident support. Partners with Data Science, Analytics, Clinical Operations, Biostatistics, and Business Development to deliver trusted data products for clinical operations, asset evaluation, reporting, and machine learning. Oversees budgeting, resourcing, documentation, technical programs, and responsible use of AI engineering tools.

Lead the infrastructure and SRE team, setting technical direction for reliable, secure, and scalable engineering systems. Hire, coach, and develop engineers; oversee multi-cloud infrastructure, Kubernetes, IaC, CI/CD, observability, incident response, support rotations, and regulated workloads. Partner across engineering, data science, security, and operations to improve developer experience and enable safe AI-assisted software delivery. Manage infrastructure roadmaps, budgets, resourcing, documentation, and organizational reliability practices.

Lead sales operations by optimizing contracting, forecasting, deal execution, reporting, dashboards, sales technology adoption, and Salesforce data hygiene. Analyze performance, improve forecast accuracy, coordinate contract workflows, develop executive presentations, and manage sales meetings, events, and offsites. Partner with sales leaders, executives, and cross-functional stakeholders to improve operational consistency and support scalable revenue growth.

Design, build, and operate high-throughput data pipelines supporting billing and cost attribution. Drive Spark optimization, latency reduction, sharding, cross-datacenter reliability, and new billing capabilities. Investigate billing accuracy issues with Finance and Product teams, participate in on-call rotation, and improve engineering standards and operational excellence.

Manage the full enterprise sales cycle across North America, including outbound prospecting, inbound lead management, product demonstrations, solution selling, negotiations, closing, and some account management. Build and maintain a qualified pipeline, develop C-suite relationships, communicate Perk’s value proposition, maintain Salesforce records, and collaborate with Marketing to improve lead generation and qualification.

Lead cybersecurity, AI, and technology risk assessments across systems, cloud environments, business processes, and initiatives. Maintain the enterprise cyber risk register, track mitigation plans, translate technical findings into business risks, support FAIR-based quantitative analysis, and prepare executive reporting. Partner with Security, Legal, Product, IT, and business teams to assess architectures, AI use cases, emerging technologies, and third-party integrations while strengthening GRC processes and operational resilience.

Lead the design and implementation of scalable, reliable backend systems powering WHOOP’s member experiences. Drive technical planning for complex initiatives, establish engineering standards, deliver platform capabilities, and mentor engineers. Collaborate with product, design, data science, and performance science teams while balancing technical quality, business priorities, observability, and long-term maintainability.

Designs and operates Kubernetes clusters on AWS, builds scalable and secure AI runtime infrastructure, and develops tooling for developer productivity and automated development workflows. The role improves platform reliability, supports long-running tasks on cost-efficient infrastructure, partners with application, security, and data teams, participates in incident response, and provides technical leadership and mentorship across the Platform organization.

Build and lead development of an enterprise AI platform supporting large-scale AI-assisted analysis. Responsibilities include designing, developing, testing, deploying, and supporting foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability. The role also requires advancing LLM optimization for scalability, latency, throughput, hardware utilization, and cost while shaping the long-term roadmap for foundational AI systems and mentoring engineering teams.

Own technical compliance domains and lead audit and certification activities across SOC 2, ISO 27001, PCI DSS, SOX ITGC, NIST, and related frameworks. Coordinate evidence collection, control validation, remediation, and external auditor responses. Translate requirements into technical controls and scalable workflows, identify risks and gaps, report compliance metrics, and improve governance, risk, and compliance tooling through automation and repeatable processes.