Top Tech Jobs & Startup Jobs in Boston, MA

Lead product strategy for strategic integrations across Employer Services and the HR technology ecosystem. Evaluate build, partner, integrate, and co-create opportunities; develop business cases, roadmaps, and success measures; and guide discovery through execution and market adoption. The role requires collaboration with partnerships, technical teams, clients, and leadership to shape scalable connections across HCM, payroll, and related systems while assessing AI opportunities and technical tradeoffs.

Lead the technical vision and architecture for AWS cloud-native platforms and agentic AI systems. Establish scalable infrastructure, DevOps, GitOps, SRE, security, observability, data, and deployment standards. Govern architecture decisions, design distributed systems, create reference architectures and technical documentation, evaluate emerging technologies, advise product and partner teams, and mentor senior engineers. The role requires extensive AWS, Kubernetes, platform engineering, AI orchestration, distributed systems, and cloud security expertise.

Lead architecture and evolution of enterprise-scale data, analytics, and MLOps platforms. Design AI-ready data foundations, semantic/ontology and federated catalog solutions, APIs and permission-aware discovery. Drive adoption through reference architectures, prototyping, R&D, and mentorship while ensuring security, governance, cost efficiency, and cloud-native operational excellence.

Manage a portfolio of Fintech clients, build executive relationships, prospect new business, align Experian data and fraud solutions to client objectives, negotiate contracts, and drive revenue growth and cross-functional delivery.

Lead development of an internal AI platform enabling 5,000 developers to build, run, and govern agents. Own identity, rate limiting, data classification enforcement, audit logging, model access, agent marketplace, RAG and retrieval pipelines, and CI/CD AI integrations. Set architecture, governance, and roadmap; unblock teams and ship production AI systems at enterprise scale while leading a lean engineering organization.