Top Tech Jobs & Startup Jobs

Handles customer calls, chats, and emails regarding billing, subscriptions, refunds, renewals, account access, profile corrections, document editing, and basic technical troubleshooting. Resolves inquiries and complaints, provides product information, identifies upselling opportunities, and supports customer-focused programs. The role requires following established processes, making decisions in routine situations, and working effectively in a fast-paced team environment.

Develop and align global go-to-market strategies across customer personas and enterprise offerings. The role translates customer and market insights into priorities, commercialization plans, governance, operating rhythms, and measurable growth initiatives. It partners with senior GTM leaders, leads planning for product launches and portfolio changes, identifies cross-persona opportunities and dependencies, and monitors performance through shared metrics and customer feedback. Success requires strong strategic, analytical, financial, facilitation, and stakeholder-influencing skills in complex, matrixed organizations.

Extracts, validates, analyzes, and documents business intelligence data from Essbase and Power BI. The role creates reports and studies, responds to stakeholder requests, conducts data profiling and statistical analysis, investigates data issues, performs audits, supports quality assurance and process improvements, and ensures accurate, timely delivery. It also requires collaboration, clear documentation, adherence to operational standards, and adaptability to evolving tools and workflows.

Designs and delivers production-ready AI, machine learning, NLP, and generative AI solutions for scientific knowledge discovery and decision support. Builds LLM workflows, RAG systems, retrieval and ranking capabilities, and scalable AI pipelines using scientific metadata and knowledge assets. Establishes evaluation and monitoring frameworks, writes production Python, collaborates with engineering teams, and provides technical leadership and mentoring.

Provides enterprise architecture leadership across product and engineering teams. Evaluates technologies, drives architecture evolution, mentors teams, resolves complex technical issues, monitors system health, develops modernization proposals, and translates technical findings into solutions and management decisions. Requires extensive software, network, or systems engineering expertise, advanced communication skills, and proficiency across programming, database, operating system, distributed processing, networking, and architecture technologies.

Designs and develops secure, production-grade AI solutions for government patent-data workflows. Responsibilities include building generative AI applications, LLM and RAG capabilities, reusable services, APIs, evaluation frameworks, and integrations. Provides architecture guidance, establishes responsible-AI controls, evaluates technical alternatives, mentors engineering teams, and supports government demonstrations, proposals, and stakeholder engagements. The role grows toward end-to-end AI architecture and technical strategy ownership.

Leads a software engineering team developing and maintaining secure, scalable risk orchestration platforms. Writes and reviews code and specifications, resolves complex technical issues, designs data models, guides development practices, and manages project delivery. The role includes direct people management, hiring, performance coaching, mentoring, resource coordination, stakeholder collaboration, and oversight of development methodologies, deployments, and production support.

Sell Elsevier's ClinicalKey to hospitals, health systems, and medical schools by prospecting within an assigned territory, building C-suite relationships, creating account plans, delivering product demonstrations, closing new business to exceed quota, forecasting sales, maintaining CRM data, and collaborating with internal teams. Requires frequent customer engagement and travel.

Leads AI and data science strategy across machine learning, NLP, search, recommendation, experimentation, and generative AI. Manages technical teams, develops AI talent, oversees systems from experimentation through production, establishes evaluation and responsible AI frameworks, and partners with product, technology, and business leaders to shape roadmaps and deliver measurable customer and business outcomes.

Designs, develops, tests, reviews, and maintains scalable identity and access management applications using Java and JavaScript. Collaborates on requirements, software specifications, coding standards, CI/CD workflows, bug fixes, and technical issue resolution in Agile environments. The role supports authentication infrastructure integrating identity providers, entitlement services, and downstream APIs on AWS ECS and EKS, with opportunities to use AI-assisted development tools and infrastructure-as-code practices.