Top Senior Level Jobs in Boston, MA

Lead and scale end-to-end global DTC operations (order-to-porch), improving fulfillment, last-mile logistics, returns, inventory strategy, and parcel freight. Drive KPIs, continuous improvement, automation and AI adoption, partner cross-functionally with Commercial, Technology, Supply Chain and Finance, and enable promotional and peak-event readiness.

Capture high-quality still imagery of SharkNinja products for e-commerce, social, packaging, and campaigns. Execute creative briefs with expert lighting, composition, and color accuracy. Collaborate with art directors, stylists, retouchers, and cross-functional teams. Manage studio operations, equipment, digital asset workflows, and post-production delivery while supporting creative experimentation and process improvements.

The Sr. Project Manager, Global Operations will lead high-impact initiatives across supply chain and eCommerce, focusing on project execution, operational optimization, and stakeholder management to enhance product delivery and efficiency.

Lead end-to-end analytics for Veterinary Diet, Science Diet, and Health & Wellness businesses. Build self-service dashboards, define KPIs, run deep-dive analyses, partner with technical and category teams, and deliver insights that improve customer experience and financial P&L.

The Staff Robotics Software Engineer will lead the development of robotic systems and AI algorithms, mentor junior engineers, and guide cross-functional teams.

Lead and mentor a product design team while developing design strategies and overseeing the design lifecycle for Chewy Vet Care's digital products and services.

Lead revenue analytics efforts across CRO and Finance: measure initiative effectiveness, build forecasting and territory models, analyze sales and support data, deliver insights and recommendations, and prepare executive and board-level reports to drive revenue decisions.

The Software Automation Engineer III will enhance quality through automation in a hybrid-cloud environment, collaborating with teams to prevent bugs and improve systems.

Lead and grow an engineering team to design, deploy, and operate scalable, compliant AI platform services (LLM integration, vector DBs, RAG). Own technical design, delivery, standards for model deployment and orchestration, and partner with product, data science, architecture, and security.

Lead onboarding product strategy and roadmap, partner with TA, Engineering, and HR COEs to design scalable onboarding solutions, drive integrations with Workday and HR tech, set success metrics, and coach product analysts to improve onboarding velocity and new-hire productivity.

Lead end-to-end talent attraction and recruiting product strategy, roadmap, and governance. Drive integrations with Workday and HR tech, define success metrics, build reusable product components, and partner with TA, Engineering, and HR COEs to improve hiring velocity, reduce risk, and deliver a unified hire-to-onboard experience. Coach product analysts and influence cross-functional and executive stakeholders.

Lead enterprise-level program engagements delivering payments, security, and loyalty implementations. Manage project portfolios from initiation through benefit realization, mitigate risks, drive client relationships, coach teams, identify new business, and deliver measurable client value using project and change management methodologies.

Manage a portfolio of advanced undersea sensor systems programs, ensuring adherence to metrics and leading multi-disciplinary teams to meet national security objectives.

Lead Software Engineers will develop software solutions for national security, oversee technical challenges, mentor juniors, and enhance real-time data communications.

As a Lead Research Scientist in Machine Learning, you will develop AI/ML algorithms, lead teams, work on innovative problems, and communicate technical insights.

The Senior Robotics Engineer will develop and maintain localization algorithms, collaborate with teams, and utilize data for functionality proofing. This role requires strong communication skills and teamwork.

The Advanced Analytics Manager will drive growth at ZS by applying technical expertise to drug discovery, managing projects, and building client relationships.

Lead and support process design and optimization projects in pharmaceutical manufacturing, utilizing data analysis to improve safety, efficiency, and product quality.

As a Data Office Manager, manage data strategy in the healthcare landscape, collaborate with teams and stakeholders, and oversee project management while leading a diverse team.

The Senior Customer Support Engineer diagnoses complex software issues for customers, leading technical resolutions while maintaining strong relationships and mentoring peers.

Lead lifecycle marketing campaign operations, ensuring high-quality delivery across channels, managing a team, and employing AI for efficiency.