Top Hybrid Jobs in Boston, MA

Consults with clients on marketing technology, customer data, and customer experience transformation. Leads strategy, solution design, implementation, activation, analytics, and performance measurement for customer engagement initiatives. Translates business goals into scalable technology solutions, guides data integration and solution roadmaps, manages project delivery, facilitates workshops, supports proposals and business cases, and mentors junior consultants.

Handle inbound calls and warm leads, consult customers on insurance needs, recommend appropriate coverage and products, and convert prospects into policyholders. The role includes paid Property and Casualty licensing and sales training, customer communication, lead conversion, and representing the Liberty Mutual brand. Employees work remotely on fixed weekday and weekend schedules and must maintain a dedicated workspace with wired high-speed internet.

Supports portfolio planning and operational analytics for auto insurance program delivery. Analyzes capacity, forecasts, rollout sequencing, dependencies, and performance metrics; builds dashboards, schedules, and reporting tools; conducts scenario analysis; and recommends delivery trade-offs. Partners cross-functionally with program management, state management, data science, and technology teams to maintain realistic roadmaps and improve planning workflows using Power BI, Power Apps, JIRA, Excel, AI, and automation.

Supports personal auto insurance filing strategy through research, analysis, and recommendations. Investigates regulatory and Department of Insurance engagement questions, helps resolve filing-process blockers, contributes to filing playbooks, and improves workflows using AI and other tools. Partners with state management, program management, data science, and delivery teams to scale best practices, improve launch accuracy and speed, and manage complex cross-functional initiatives.

Build predictive models forecasting customer behavior, analyze retention and gameplay trends, and create automated tools, analyses, and dashboards. Translate model outputs into actionable recommendations that guide marketing investments, promotional strategies, customer valuation, and retention. Partner with Marketing, Finance, Data Science, and Data Engineering teams while using Databricks, Airflow, Bitbucket, SQL, Snowflake, and dashboarding tools to support revenue growth and customer insights.

Lead electrical system characterization, experimentation, debugging, and design improvements for next-generation wearable hardware. Develop architectures, schematics, PCB designs, validation methods, and automated analysis tools while resolving complex system-level issues across power, mixed-signal, digital, sensing, and timing domains. Manage and mentor a small electrical engineering team, collaborate cross-functionally with firmware, mechanical, systems, software, and manufacturing teams, and support production-ready hardware development.

Owns revenue recovery and loss-prevention strategies across payments, device loss, scams, and abuse. Uses data, experimentation, and financial analysis to identify revenue leakage, quantify impact, and optimize recovery initiatives. Partners with Product, Engineering, Finance, Legal, and Membership Services on cross-functional programs, incident response, risk mitigation, and member experience improvements.

Owns electronic component selection, qualification, lifecycle management, and supply-risk mitigation for new and sustaining hardware programs. Partners with engineering, manufacturing, quality, procurement, supply chain, and suppliers to resolve technical issues, manage obsolescence and alternate components, maintain BOM and component data, support failure analysis, and improve cost, quality, reliability, compliance, and supply continuity processes.

Designs and automates application, cloud, and infrastructure security controls across CI/CD pipelines and public cloud environments. Responsibilities include penetration testing, red teaming, threat detection engineering, incident response, forensic collection, AI security governance, and secure software design. Partners with engineering and SRE teams on Terraform, Docker, Kubernetes, and Zero Trust security, while mentoring junior engineers and supporting compliance with PCI-DSS, SOC, and DORA standards.

Leads organization-wide application security programs, integrating security throughout the SDLC and coordinating vulnerability remediation, compliance, audits, and third-party security initiatives. Partners with engineering, product, SRE, QA, and executive stakeholders to define priorities, track security metrics, improve processes, and deliver business outcomes. Serves as an application security subject matter expert, manages vendors, ensures adherence to GDPR, HIPAA, PCI DSS, and related standards, and mentors junior team members.

Recruiter II will manage full-lifecycle recruiting for Datadog’s Technical Solutions organization. Responsibilities include sourcing and screening candidates, partnering with leadership on interview processes, maintaining candidate data in Greenhouse, negotiating compensation, training interview teams, closing candidates, and delivering a strong candidate experience. The role requires managing multiple openings independently, identifying technical talent, communicating the company value proposition, and improving recruiting processes.

Design, develop, deploy, and support scalable AI systems, including foundation models, LLM inference, agentic workflows, similarity search, guardrails, evaluation, and observability. Optimize training and inference for cost, latency, throughput, and hardware utilization. Own complex AI architecture, reliability objectives, governance, and technical roadmaps while collaborating cross-functionally and mentoring engineering teams.

Leads applied AI research and develops foundation models from design through deployment. Partners with data scientists, engineers, and product leaders to deliver scalable AI products, defines long-term research agendas, mentors applied scientists, collaborates with academia, and advances methods including deep learning, self-supervised learning, model optimization, robustness, explainability, and RLHF.

Develop and deploy foundational AI systems, including LLM inference, foundation model training, agentic workflows, vector search, guardrails, evaluation, governance, and observability. Optimize AI systems for cost, latency, throughput, scalability, and hardware utilization. Architect multi-model orchestration pipelines, establish technical standards and governance, lead design reviews, contribute to long-term AI roadmaps, and mentor senior AI engineering staff.

Reviews and analyzes supervisory controls for high-risk investment strategies and complex products. Advises on policies, procedures, compliance, risk management, and process improvements; identifies trends through data analysis; presents recommendations; and collaborates with financial advisors, managers, compliance teams, and business units. The role requires FINRA supervisory licensing, regulatory compliance, independent judgment, and travel up to 25 percent.

Supports a complex commercial banking customer portfolio by resolving escalated issues, reviewing profitability and risk, verifying compliance, identifying process improvements, and coordinating implementations. Partners with managers and internal stakeholders, leads as a subject matter expert, manages customer relationships, and applies banking policies, AML/BSA requirements, risk controls, and servicing procedures.

Supports healthcare provider clients by analyzing operational needs, developing efficiency strategies, streamlining processes, interpreting business data, and delivering tailored recommendations. Collaborates with project teams and senior staff, contributes to client engagements, applies critical thinking and process optimization, and supports business transformation, change management, operational excellence, and supply chain initiatives.

Leads Oracle Cloud ERP and EPM finance transformation implementations, setting strategic direction, managing complex projects, developing client relationships, improving finance processes, and mentoring emerging leaders. The role requires extensive Oracle Cloud implementation experience, strong business process expertise, market development, client networking, presentation skills, and team leadership.

Provides healthcare provider back-office consulting by analyzing client needs, developing operational strategies, optimizing processes, and improving business performance. The role delivers data-informed recommendations, supports operational excellence and transformation initiatives, manages stakeholders, uses AI and digital tools, and mentors junior team members. Candidates need a bachelor’s degree and at least three years of experience, with preferred backgrounds in business, analytics, finance, healthcare administration, operations, or related fields.

Own end-to-end delivery of embedded audio software projects from requirements through integration and validation. Develop and optimize C/C++ platform components for embedded and RTOS environments, lead integration across DSP pipelines, middleware, and partner deliverables, and resolve system-level issues. Optimize latency-sensitive real-time audio performance, coordinate with systems, QA, and security teams, and maintain technical documentation and integration plans.

Lead end-to-end architecture for complex audio systems spanning hardware, software, DSP, acoustics, connectivity, sensing, compute, and user experience. Define system decomposition, interfaces, requirements, data flows, and resource allocation; evaluate tradeoffs through modeling, simulation, prototyping, and testing; identify cross-domain risks; develop reusable architectures; and provide principal-level technical leadership across engineering teams, suppliers, and technology partners.

Develop and productize advanced audio DSP and machine learning algorithms for speech and audio applications, including noise suppression, echo cancellation, beamforming, spatial audio, and enhancement. Translate research into scalable, optimized, real-time solutions for consumer devices and production hardware. Balance audio quality, ML performance, and system constraints while influencing product direction. Collaborate across algorithm research, systems engineering, deployment, and productization.