Top Tech Jobs & Startup Jobs

Develop and maintain complex full-stack web applications using React and Node.js. Lead software through the full SDLC, from requirements and system design through deployment and maintenance. Build accessible, performant client-side applications, micro-frontends, and services; integrate frontend and backend components; and ensure quality through continuous integration, code reviews, and automated testing. Collaborate with Product, UX, engineering teams, and healthcare-domain professionals using Agile delivery practices.

Leads multiple complex implementation projects for nursing and health education customers, coordinating cross-functional teams from sales through delivery. Responsibilities include developing project plans, schedules, workflows, risk logs, and roadmaps; tracking milestones and KPIs; managing stakeholders, resources, issues, and customer expectations; facilitating meetings; improving processes; and providing post-project support. The role partners with Customer Success, Product, Sales, IT, Curriculum Solutions, and Support teams.

Identifies and delivers AI and automation opportunities across Salesforce, Agentforce, Data Cloud, and MCP integrations. The role models processes, gathers requirements, defines user stories and acceptance criteria, assesses data readiness, facilitates workshops, and partners with Salesforce, data engineering, and AI teams throughout the SDLC. It also advises senior stakeholders on AI feasibility, risks, responsible use, change management, and adoption.

Designs, develops, tests, deploys, and supports scalable Salesforce CRM solutions across the full project lifecycle. Serves as a technical advisor to stakeholders, leads integrations, troubleshoots complex issues, reviews code, estimates work, documents solutions, and applies Salesforce best practices. The role requires advanced Salesforce certifications, integration experience, Agile delivery, technical project management, and strong communication with technical and business audiences.

Own defined product features and workstreams across the Apply Portfolio from discovery through delivery, launch, adoption, measurement, and iteration. Translate customer and business needs into requirements, user stories, and priorities; collaborate with engineering, design, analytics, sales, and customer success; analyze product data; incorporate AI capabilities; support demonstrations, enablement, and go-to-market activities.

Drives operational excellence across global product and innovation teams by optimizing product tools, standardizing processes, defining metrics, improving portfolio visibility, managing operating cadences, tracking initiatives, and creating executive communications. Partners cross-functionally with Product, Engineering, Marketing, Sales, and Innovation to connect strategy with execution and influence outcomes in a matrixed environment.

Leads the Digital Commons Product Operations team, overseeing client onboarding, migrations, manual integrations, customer lifecycle management, retention, risk mitigation, product workflow collaboration, and cross-functional delivery. Develops managers and associates, sets departmental priorities, allocates resources, executes business plans, and advises Product leadership using client and technical insights. Partners closely with Sales and Consulting Services to support launches, resolve risks, improve adoption, and drive customer satisfaction and growth.

Own the strategy and roadmap for machine and AI access to Elsevier’s scientific content. Lead customer discovery, pilots, product delivery, entitlement and access models, usage measurement, and commercialization. Collaborate with engineering, legal, commercial, and product teams to develop APIs, agent connectors, and other scalable delivery mechanisms. Use data, experiments, and competitive insights to prioritize products serving AI applications and developer-facing customers.

Develop and maintain scalable full-stack applications using ReactJS and Java Spring Boot APIs. Build RESTful backend services, optimize Microsoft SQL Server queries and schemas, and ensure application performance, reliability, and data integrity. Translate business requirements into technical solutions, write maintainable code, and collaborate with product, QA, UX, DevOps, vendors, and engineering teams within an agile software development environment.

Serve as the technical pre-sales partner for ClinicalKey across North America. Lead discovery, demonstrations, integration scoping, security and compliance reviews, AI governance discussions, pilots, and implementation handoffs. Explain SMART on FHIR, OAuth 2.0, EHR integration, PHI handling, and clinical workflows to technical, clinical, and executive stakeholders. Support enterprise sales cycles, create technical collateral and enablement materials, report deal friction, and connect field teams with Product and Technology.