Top Hybrid Jobs in Boston, MA

Manages indirect strategic sourcing initiatives, including sourcing events, spend analysis, bid evaluation, award scenarios, negotiations, supplier outcomes, and cost-saving projects. Builds stakeholder relationships, benchmarks sourcing performance, and supports sourcing technology and process improvements. Requires 3–5 years of strategic sourcing or procurement experience, advanced Excel proficiency, analytical and negotiation skills, and travel up to 10%.

Lead product marketing for Klaviyo’s SMS and mobile messaging products. Define positioning, messaging, go-to-market strategies, product launches, competitive intelligence, adoption campaigns, ROI models, sales enablement, and cross-functional initiatives. Partner with Product Management to influence the roadmap, identify market opportunities, support mobile compliance positioning, and drive customer adoption and revenue growth globally.

An 11-week Analyst Development Internship focused on gathering and analyzing qualitative and quantitative data, identifying performance trends, solving business problems, and recommending solutions that inform decisions in the insurance industry. Interns receive analytical and technical training, work independently and collaboratively, and use tools such as Excel, SQL, Python, R, SAS, Snowflake, and Power BI.

Develop and operate production microservices that operationalize predictive and generative AI models for claims systems. Responsibilities include building AWS-based feature pipelines, APIs, event-driven integrations, monitoring, alerting, CI/CD, and model evaluation frameworks. The engineer partners with data scientists, product teams, and enterprise platform teams, supports live services through on-call responsibilities, translates requirements into technical designs, and leads implementation and continuous improvement.

Leads the Property Claims Loss Insights analytics team, setting analytical strategy, developing talent, guiding complex analyses, and translating findings into recommendations for executive and business audiences. The role evaluates financial and operational impacts of claims tools, vendors, and process changes; prioritizes high-value work; ensures methodological rigor; challenges assumptions; and partners with leadership to improve claims handling and financial outcomes.

Leads product quality for complex hardware programs from concept through launch. Responsibilities include quality planning, risk management, DFMEA, reliability and validation planning, process capability, supplier quality, manufacturing readiness, structured problem solving, corrective actions, and launch reviews. Partners with engineering, operations, suppliers, and contract manufacturers while communicating risks and mentoring peers. Requires up to 15% international travel and relocation to Boston, Massachusetts.

Lead manufacturing test strategy and scalable automated test solutions for WHOOP devices from development through mass production. Develop Python-based electrical, functional, RF, and sensor testing; oversee fixtures, instrumentation, factory bring-up, calibration, correlation, troubleshooting, and continuous improvement. Analyze test and manufacturing data to improve yield, quality, coverage, cycle time, and cost. Collaborate across engineering and manufacturing teams, establish standards, manage technical risks, and mentor engineers.

Lead AI Engineer responsible for designing, developing, deploying, and supporting scalable AI systems. The role focuses on foundation model training, LLM inference, similarity search, guardrails, model evaluation, governance, observability, and optimization. Responsibilities include improving AI system scalability, cost, latency, throughput, and hardware utilization; applying emerging research in production; and contributing to the long-term technical roadmap for foundational AI platforms.

Design, develop, deploy, and support scalable AI platform components, including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Optimize production AI systems for cost, latency, throughput, and scalability. Contribute to foundational AI strategy and roadmap while collaborating with engineering, research, product, and program teams. Lead and mentor engineers and apply emerging AI research to responsible production systems.

Leads software engineering projects and developer teams building distributed microservices and full-stack cloud solutions. Develops regulatory technology, collaborates with product managers, evaluates code, mentors engineers, and drives technology modernization using modern programming languages, databases, containers, orchestration platforms, and cloud services.

Provides customer-facing software support for Invoiced accounts through email, phone, and chat. Diagnoses payment processing, integration, API, and feature issues by reviewing logs, documentation, and test results. Leads client calls, escalates complex technical issues, contributes to documentation, and supports implementation and customer success teams. Serves as an internal subject matter expert on Invoiced functionality.

Build and maintain dbt models, Snowflake semantic layers, ingestion pipelines, and monitoring across finance, operations, IoT, and marketing. Resolve complex data issues, improve data quality and resilience, translate ambiguous requests into delivery plans, and contribute to AI-powered data products. The role also involves integrating systems such as Salesforce, NetSuite, Zendesk, and ADP while documenting and strengthening data engineering standards.

Supports product management for shared mobile device solutions, including roadmap and backlog prioritization, feature development, release coordination, customer communications, and cross-functional collaboration. Reviews usage data and feedback, refines requirements with Engineering, manages delivery risks, and leverages LLMs and coding assistants to improve workflows and prototyping. The role requires SaaS product experience, mobile device knowledge, data-driven problem solving, and strong technical communication.

Develop client solutions through market and desk research, quantitative analysis, and problem-solving frameworks. Design analyses using Excel, Access, Confirmit, and proprietary software; synthesize findings and communicate recommendations to clients and internal teams. Collaborate on implementation, manage assigned deliverables, and work across multiple projects. The role requires strong academics, communication, attention to detail, teamwork, adaptability, and a client-focused approach. Client-facing employees should be prepared to travel as business needs require.

Two-year Commercial Banking development program featuring four six-month rotations across sales, credit, product, and strategy. Responsibilities include analyzing financial statements, building models, conducting due diligence, underwriting credit transactions, researching markets and industries, preparing credit recommendations, supporting business development, and managing risk and compliance activities. The program provides formal training and prepares participants for commercial banking roles such as relationship manager, portfolio manager, and business development officer.