Top Hybrid Jobs in Boston, MA

Leads a team of underwriters managing complex casualty risks in the sharing economy and new mobility sectors. Oversees risk selection, portfolio profitability, pricing, coverage analysis, broker relationships, quality audits, and regulatory documentation. Coaches and develops underwriting talent, guides decisions on high-impact accounts, drives innovation, and establishes strategies for profitable portfolio growth.

Designs and maintains scalable data pipelines, models, integrations, and ETL/ELT processes using cloud data technologies. Analyzes complex data, implements quality controls and automated testing, troubleshoots issues, documents data flows, and improves engineering processes. Collaborates with product owners, business stakeholders, data scientists, engineers, and architects in an agile environment while translating business needs into reliable technical data solutions.

Leads complex, multi-year technical integration programs, including application convergence, data migration, platform standardization, and cloud-scale transformation. Establishes program roadmaps, operating mechanisms, maturity models, and measurable outcomes across engineering teams. Drives architectural alignment, dependency sequencing, risk escalation, and tradeoffs among cost, speed, and resiliency. Serves as an executive-level influencer and helps mature the organization’s technical program management discipline.

Drives revenue growth across a portfolio of dealer clients through prospecting, relationship management, cross-selling, upselling, subscription renegotiation, and new account acquisition. Exceeds sales and pipeline targets, forecasts performance, develops value-based partnerships, and collaborates with Account Managers and Product Specialists to improve retention and introduce new products.

Design, build, and scale production machine learning and data pipelines for fraud, payment risk, and abuse detection. Develop systems spanning feature engineering, model training, deployment, monitoring, and observability. Collaborate with data scientists, engineers, and product managers to productionize models and maintain reliable decisioning systems. Participate in code reviews, incident response, on-call rotations, and post-incident improvements while mentoring junior engineers and contributing to shared tooling and documentation.

Develop predictive and prescriptive models using structured and unstructured data, with a focus on NLP and GenAI. Responsibilities include exploring datasets, building visualizations, generating business insights, automating data workflows, developing interactive applications, and collaborating with stakeholders across marketing, sales, finance, and supply chain.

Supports financial statement audits by reviewing financial documents, analyzing data and trends, documenting audit procedures and findings, evaluating internal controls, and applying GAAP, GAAS, and audit methodologies. Collaborates with audit teams, conducts research, assesses risks, and develops foundational knowledge of financial reporting, compliance, and client service.

Manage high-volume interview scheduling and recruiting coordination, including candidate and interviewer communications, interview logistics, rescheduling, travel and expense support, ATS data accuracy, offer letters, dashboards, and SLA/KPI reporting. Partner with recruiters, hiring managers, and people teams while maintaining confidentiality, resolving blockers, supporting team queues, and providing stakeholder guidance and training.

Leads the technical architecture, design, and implementation of mission management and autonomy solutions. Partners with technical leaders and product teams to develop tracking, mission planning, auto-routing, and resource management capabilities. Supports customer engagement, proposals, whitepapers, new business capture, and technical solution presentations for defense and intelligence customers. Requires strong leadership, communication, technical writing, and active Top Secret/SCI clearance.

Partners with account teams on complex enterprise opportunities in the insurance industry. Leads discovery, requirements definition, tailored demonstrations, pilots, ROI modeling, RFPs, competitive positioning, and objection handling. Engages executive, business, and technical stakeholders while explaining AI-enabled capabilities and solution limitations. Collaborates with Product, Implementation, and Customer Success to communicate customer needs and ensure successful transitions. The role is hybrid in Boston and requires travel up to 50%.

Develop scalable customer-facing features and internal developer-experience tools for Chewy’s e-commerce platform. Responsibilities include system architecture, automation, observability, CI/CD, monitoring, testing, code reviews, agile collaboration, mentoring junior engineers, and production troubleshooting through on-call rotations.