Top Senior Level Jobs in Boston, MA

Own the vision, roadmap, and execution of Chewy’s creative intelligence platform. Partner with Creative, Marketing, Media, Engineering, Machine Learning, and Analytics teams to connect creative assets, metadata, campaign performance, and customer behavior. Lead discovery, delivery, adoption, data quality, AI-assisted insights, reporting, experimentation, and continuous product improvement while defining success metrics and aligning stakeholders.

Build and own production Vision AI systems end to end, including model selection, inference pipelines, evaluation, monitoring, and customer-facing features. Shape architecture, collaborate with product, design, and engineering teams, and use AI coding tools to accelerate development. Establish high standards for quality, testing, reliability, security, and privacy while mentoring engineers and taking ambiguous ideas from prototype to production.

Own full-cycle recruiting for hardware, software, embedded engineering, and technical leadership roles. Partner with engineering leaders using market data, pipeline metrics, and candidate insights to improve hiring decisions and processes. Build Bevi’s engineering employer brand, strengthen interview practices, maintain recruiting data hygiene, and deliver an excellent candidate experience. The role also requires hands-on AI adoption for sourcing, market research, and candidate insights.

Design, implement, and operate scalable IAM platforms across cloud and on-prem environments. Lead standardization for Entra ID, Okta, and Active Directory; implement SAML/OAuth2/OIDC authentication; define RBAC/ABAC and access governance; integrate with SaaS/cloud apps; manage secrets (HashiCorp Vault); support zero trust initiatives; troubleshoot complex identity and access issues.

Leads post-merger integration and strategic investment integration across Bose. Designs cross-functional integration plans, establishes governance and communication models, tracks synergies, mitigates risks, develops integration playbooks, and reports progress to executives. Partners with Corporate Development, business units, and acquired companies to define goals, timelines, and success metrics while supporting integration diligence and broader transformation initiatives.

Leads Dynatrace’s enterprise AI strategy, roadmap, governance, and value realization across global business functions. Evaluates AI technologies, vendors, platforms, and build-buy-partner decisions; establishes responsible AI policies and risk controls; and builds AI enablement programs and a Center of Excellence. Advises executives, measures productivity and ROI, drives organizational adoption, and guides enterprise AI architecture and deployment reliability.

Sources and engages specialized technology talent, particularly AI and emerging technology professionals. Develops targeted sourcing strategies, builds passive talent communities, manages candidate pipelines, conducts initial screens, and provides market and competitive insights to recruiters and hiring leaders. Uses Workday ATS, Radiancy, LinkedIn Recruiter, and related tools while improving sourcing processes and supporting select recruiting activities during periods of increased demand.

Leads enterprise deployment of AI-enabled healthcare products across local markets. Responsibilities include go-live planning, release coordination, change management, stakeholder readiness, frontline training, adoption and outcome measurement, post-launch feedback cycles, and playbook development. The role partners with engineering, clinical, finance, legal, security, privacy, and compliance teams while building AI-enabled deployment processes and improving products after launch.

Leads the architecture and evolution of DraftKings’ machine learning platform, including real-time data pipelines, lakehouse governance, distributed data systems, and scalable ML serving infrastructure. Establishes engineering standards, drives complex initiatives, oversees reliability and cloud cost optimization, and partners across engineering and data teams. The role also mentors engineers, advances automation, supports incident response, and applies AI-assisted development practices.

Leads complex financial analysis, budgeting, forecasting, workforce planning, and multi-year financial plans. Partners with senior leaders, interprets financial results, strengthens controls, and provides strategic insights. Uses AI-enabled tools, data modeling, visualization, automation, and analytical techniques to improve FP&A processes and reporting. Communicates findings to executives, supports data governance, manages risks, and mentors less experienced analysts.