Top Hybrid Jobs in Boston, MA

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.

Own and close a high-volume portfolio of SaaS renewals, meeting quota, pricing uplift, and multi-year conversion targets. Manage the full renewal cycle from outreach through negotiation and close, identify expansion opportunities, maintain accurate Salesforce/CPQ forecasts, and build repeatable workflows. Partner with Account Executives, Marketing, and Enablement while helping establish renewal processes and playbooks.

Evaluate, qualify, and improve lithium-ion battery cells for current and future products. Develop testing and qualification plans, analyze electrochemical data, optimize cell performance through experiments, and collaborate with suppliers and battery system engineers. Lead failure investigations, root-cause analysis, manufacturing readiness, and battery integration activities. Document technical risks and recommendations while supporting supplier visits, audits, and qualification work requiring up to 15% travel.

Supports wholesale accessories and apparel inventory planning through weekly sales and inventory reporting, sell-through and weeks-of-supply analysis, stockout and excess-inventory identification, replenishment recommendations, and inventory movement. Partners with Sales, Supply Chain, Finance, Product, and Operations on seasonal planning, product launches, forecasts, reporting tools, and issue resolution across wholesale accounts.

Creates and maintains project management templates and SOPs, audits portfolio deliverables for quality and standards compliance, supports solution reviews and testing, validates requirements, and improves delivery processes. Coaches project managers and technical leaders on project management best practices across Waterfall, Agile, SAFe, and Scrum methodologies. Requires enterprise PMO experience and proficiency with Clarity, Power BI, SharePoint, and Atlassian Tools.

The Data Scientist II will lead and execute health economic outcomes research projects, collaborate with stakeholders, and build analytical infrastructure while adhering to regulations.

Leads a team of Client Service Representatives handling business license filings. Supervises daily operations, sets goals and performance metrics, delegates work, conducts reviews, manages escalations, develops employees, provides coaching, resolves conflicts, and drives productivity, service quality, and client satisfaction.

Develop and deploy foundational AI systems, including foundation model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Optimize large-scale AI systems for cost, latency, throughput, scalability, and reliability. Own complex AI architecture, define reliability objectives, improve GPU/TPU utilization, lead technical reviews, ensure security and compliance, and mentor engineering colleagues.

Leads complex technical programs involving Generative AI, distributed systems, enterprise platforms, and cloud services. Establishes program roadmaps, operating mechanisms, maturity models, and measurable outcomes; coordinates architecture, dependencies, investment planning, and delivery across engineering teams. Acts as an executive escalation point, drives tradeoffs among speed, cost, and resiliency, and develops the organization’s TPM discipline through standards, tooling, metrics, and leadership influence.

Design, develop, deploy, and support enterprise AI systems, including foundation models, LLM inference, agentic workflows, vector search, model evaluation, governance, and observability. Establish AI architecture standards, optimize model performance, cost, latency, and scalability, and lead model routing and orchestration initiatives. Drive responsible AI practices, contribute to technical roadmaps, mentor engineering teams, and influence cross-functional stakeholders and enterprise AI strategy.