Top Hybrid Jobs in Boston, MA

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.

Leads strategy and operations for Klaviyo’s high-touch customer segment. Designs customer experiences, engagement programs, playbooks, and operating models; establishes metrics for adoption, retention, expansion, and sentiment; manages planning and investment decisions; and leads cross-functional strategic projects from concept through launch and measurement. Partners with Customer Success, Sales, Support, Product, and Marketing to improve enterprise customer outcomes and scale CSM effectiveness through data, automation, and AI.

Own customer success capacity and coverage models, account assignments, territory planning, renewal operations reporting, dashboards, and business review data. Analyze churn, coverage gaps, and capacity constraints; provide recommendations to leadership; automate recurring reports; and align definitions across Customer Success, Sales Operations, Finance, and Data teams. The role requires strong SQL, BI, spreadsheet, Salesforce, and Gainsight skills, with preferred Python or Snowflake experience.

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.

Leads ServiceNow CRM solution sales in the insurance sector by developing territory and account strategies, identifying use cases, supporting digital transformation initiatives, coaching sales teams, and guiding customer solution wins. Partners with account executives, solution consultants, customers, and partners to align capability roadmaps and demonstrate business value. Requires extensive specialty-solution ROI knowledge, sales experience, business-process understanding, and willingness to travel up to 50%.

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.

Own the vision, roadmap, backlog, and priorities for an AI-enabled Connected Insights product supporting independent agents and employees. Translate strategy, research, and data into measurable outcomes; prioritize personalized insights and next-best actions; partner with product, engineering, data science, UX, marketing, and business teams; conduct experimentation; define success measures; and align stakeholders through trade-offs and ambiguity.

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.

Develop and deploy well-tested, efficient software for dealer-facing inventory products. Support and improve core systems, integrate AI coding tools, and collaborate with data scientists and product managers across technical design, implementation, testing, and performance measurement. The role involves front-end development with React and JavaScript, backend development with Java and SQL, and work involving distributed systems and microservice architecture.

Research and develop real-time AI algorithms for audio source separation, target sound extraction, and speech enhancement. Train and evaluate PyTorch models using single- and multi-microphone recordings, spatial cues, and auxiliary sensors. Address overlapping speakers, noise, reverberation, motion, perceptual quality, latency, memory, and computational constraints. Collaborate with DSP and embedded software teams to deploy models on physical devices, while contributing to patents, publications, and product demonstrations.