Top Senior Level Jobs in Boston, MA

Lead and grow a global product and engineering recruiting team: set performance goals, mentor managers and recruiters, partner with business leaders, improve processes, source hard-to-find engineering talent, leverage AI tools, maintain ATS accuracy, and ensure excellent candidate experience across hiring lifecycle.

The Sr. Product Operations Manager oversees product integration, leads strategic initiatives, manages projects, and optimizes operational processes while collaborating with internal teams.

Senior Threat Response Specialist for Falcon Complete MDR supporting detection enablement, threat research, incident investigations, and analyst enablement. Develop remediation plans, integrate threat intelligence into detections, and maintain knowledge artifacts and automation to improve response across Endpoint, Identity, Cloud, and NG-SIEM environments.

The Senior Manager, Product Solutions Architecture at Datadog oversees onboarding and enabling partners, collaborates on technical initiatives, and advocates for partners' needs while enhancing service offerings using Datadog features.

As a Customer Success Manager, you'll strengthen customer relationships, drive product usage, and identify growth opportunities while collaborating with internal teams at Datadog.

The Head of Leadership Search will lead global leadership hiring, establish hiring strategies, manage an executive search team, and partner with executive leadership.

The Manager, Category Management will drive growth in Private Brands by launching new products, developing effective strategies, and managing a team.

The Systems Engineer will provide leadership in designing, integrating, and testing complex aircraft mission systems. Responsibilities include managing requirements, conducting trade studies, and evaluating design alternatives for mission capabilities.

The Senior Data Scientist will implement and test ML models for international products, collaborating with cross-functional teams to drive insights and deploy solutions.

The role involves building a detection platform against threats, utilizing AI, applying engineering practices for improving security measures, and ensuring effective incident response within a collaborative team.

Lead and mentor an engineering team owning organic discovery and SEO-driven content platforms. Partner with Product and Marketing to prioritize roadmap, build scalable web experiences, use data and experimentation to improve traffic and engagement, and shape strategy for traditional and AI-driven search experiences.

Lead Data Scientist responsible for guiding projects, mentoring a team, developing data-driven solutions, and collaborating across departments to drive insights.

Responsible for ensuring security and integrity in technology operations, providing expertise in security engineering, and collaborating with teams to embed security measures in API design and deployment.

Serve as strategic HR partner to Product, Engineering, and Clinical leaders. Drive workforce planning, organizational design, talent management, performance coaching, employee relations, and change initiatives. Leverage HR technologies, analytics, and AI-enabled tools to inform decisions, improve processes, and support global HR programs and integrations.

Lead and conduct complex threat investigations for live game services using OSINT, internal tools, and data analysis. Maintain intelligence on emerging threats, produce high-quality investigative reporting, support incident response, and drive automation and tooling to scale workflows and measure program effectiveness.

Lead ecosystem and partner strategies to accelerate migration and adoption of Arm-based platforms. Build executive relationships with ISVs, hyperscalers, OEMs, and integrators; define adoption roadmaps, remove technical and business friction, enable partner engineering, and drive measurable production readiness and scaled deployments across cloud, AI, edge, automotive, and enterprise workloads.

The Director Solution Engineering Lead will oversee engineering resources, drive AI solution innovations, and ensure alignment with business objectives and enterprise standards.