Top Entry Level Jobs

Define architecture and engineering standards while delivering distributed Node.js services, AI agent workflows, and enterprise integrations. Own solutions end to end, including quality, reliability, observability, infrastructure as code, retrieval systems, and production-scale backend platforms. Build agentic and retrieval-augmented workflows that reason over enterprise data and execute actions within customized SAP environments.

Own and develop HPC/GPU infrastructure for R&D and customer deployments. Design cross-platform CI/CD pipelines, manage on-premise and cloud Kubernetes clusters with GPU passthrough and MIG, configure self-hosted GitHub Actions runners, and maintain DockerHub registries. Assemble and tune physical GPU servers, manage PCIe topology and hardware constraints, and maintain compatibility across NVIDIA drivers, CUDA, and ROCm versions. Provide customer-facing technical assistance for GPU container deployments.

Open application for roles across engineering, product, operations, and customer success at an AI-native EMR startup. Candidates may build AI-agent workflows, improve clinical operations, support implementations, or drive growth and adoption. Emphasis on communication, ownership, and curiosity about AI and healthcare.

Provide remote administrative support to executive search consultants: source and screen candidates, schedule interviews, maintain candidate databases, communicate with candidates/clients, perform preliminary assessments, post job ads, and manage recruitment-related documents and reports.

Generate new business through inbound and outbound outreach, qualify leads, book demos, support early onboarding, manage pipeline in CRM, collaborate with sales leadership to refine messaging, and help prospects understand pricing and use cases to drive adoption.

Design and build threat detection and response systems across cloud, CI/CD, identity, endpoint, Kubernetes, and agentic environments. Own security telemetry and alert pipelines, lead incident response and on-call activities, conduct threat hunting, manage vulnerability response, and develop trustworthy AI agents for alert triage and evidence gathering. Improve detections, remediate threats, and document incidents through actionable postmortems.

Analyze large datasets, identify meaningful patterns, develop machine learning models, and deliver actionable insights for business decisions. Collaborate with cross-functional teams to understand data needs, communicate findings clearly to stakeholders, and stay current with advances in data science and AI technologies.

Drive complex technical and commercial programs from planning through delivery. Coordinate scientific operations, AI/ML, software, perception, hardware, data, business, customers, and partners. Define milestones, budgets, dependencies, risks, documentation, requirements, and success metrics; resolve ambiguity and maintain execution alignment. Improve workflows and build reusable program-management systems while supporting deployments, technical decisions, and urgent operational needs. The role is in-person in Cambridge, Massachusetts, with travel to customer and partner sites as needed.

Provides support for Hogan personality assessments, including test administration, scoring, report preparation, and coordination with consultants and clients.

Own customer solutions from discovery through go-live by mapping finance workflows, designing AI-agent integrations, defining permissions and approval rules, building proof-of-concepts, and translating requirements into implementation plans. Lead technical customer conversations, support strategic deals, coordinate with Product, Engineering, and Customer Experience, resolve delivery blockers, and create reusable integration guides and playbooks. Connect solution outcomes to measurable business value.