Top Tech Jobs & Startup Jobs in Boston, MA

Manage financials and project controls for large-scale data center constructions, ensure effective budget management, and oversee change management processes.

Lead end-to-end Paradox implementations integrated with Workday: gather requirements, design and configure conversational AI and workflows, build integrations, test, deploy, troubleshoot, and train stakeholders. Partner with HR, IT, and Workday teams to ensure data flow, security, and post-production support.

Design, implement, and document secure, scalable cloud solutions for DoD environments. Advise on cloud adoption, evaluate CSP changes, ensure cyber compliance, engage with CSPs/DISA, and support cloud authorization and testing.

Lead FP&A analyses for a healthtech company: build and maintain financial models, forecasting, executive reporting, and unit economics. Clean and analyze large healthcare and claims datasets, produce dashboards, enable AI-driven automation, support month-end close and ERP implementation, and partner with leaders to recommend performance improvements.

Own day-to-day client relationships for enterprise accounts, drive account health and growth, support commercial activities (SOWs, renewals), partner with delivery teams to ensure successful execution, and mentor for future portfolio ownership within a fast-paced consulting environment.

Design, implement, and ship end-to-end features across backend services and a React web client for a multi-tenant ERP. Own schema design, migrations respecting row-level security, integrations with platform services, and deliver high-quality, performant code with CI/CD, tests, and code review. Leverage AI coding assistants responsibly and collaborate cross-functionally to evolve shared platform libraries and developer tooling.

Lead FHIR implementations, ensuring accurate data exchange, developing API endpoints, complying with healthcare regulations, and maintaining data mapping specifications.

Lead product analytics to improve user growth, engagement, retention, and revenue. Design and analyze A/B and multivariate experiments, perform funnel/cohort analyses, maintain KPIs and dashboards, ensure event tracking, leverage ML and AI tools for advanced analyses, and translate insights into product recommendations across cross-functional teams.

Design, build, and maintain developer tooling and automation to improve engineering workflows. Optimize CI/CD pipelines, troubleshoot bottlenecks, manage infrastructure tooling, create documentation and training, gather developer feedback, collaborate across teams, and adopt AI-driven tools to boost developer productivity and deployment reliability.

Design, build, and operate cloud-native platform services that replicate and recover complex application stacks. Work with cloud provider APIs (AWS, Azure), build resilient distributed systems, own features end-to-end, and mentor engineers to improve reliability, scalability, and security for a production SaaS disaster-recovery platform.