Top Tech Jobs & Startup Jobs

As a Senior Incident Response Engineer, improve security technology, lead incident response investigations, analyze security events, and develop remediation programs.

The Account Manager will drive sales and renewals, manage customer relationships, and support customers with diverse needs while achieving bookings and conducting market evaluations.

Lead strategy, roadmap, and delivery for LeapSpace's agentic retrieval and orchestration engine. Own migration from prototype to production, prioritize cross-team sequencing and dependencies, translate prototypes into engineering-ready work, support squads' agentic requirements, and expand platform capabilities and integrations with partner teams.

Lead consultative sales with academic institutions to deploy AI-powered research intelligence and data licensing solutions. Manage strategic accounts across a multi-state territory, build relationships with libraries and research leadership, develop account strategies, forecast using CRM tools, represent Elsevier at conferences, and deliver revenue growth and long-term institutional value.

The role involves selling research solutions to academic and government institutions, achieving revenue targets, and developing strategic account plans while maintaining relationships with clients.

Lead the Learning & Performance team to design and implement a global sales and customer success curriculum, ensuring alignment with business strategies and measurable performance outcomes.

As an Account Manager, you will drive new sales and renew existing contracts, leveraging consultative selling and nurturing customer relationships in the Research Intelligence sector.

Design and build ML, NLP, and generative AI systems for scientific discovery and knowledge extraction. Work with large heterogeneous scientific datasets to develop semantic search, entity extraction, QA, summarization, embeddings, and production-ready models. Implement model evaluation, fine-tuning, deployment, monitoring, drift detection, and scalable data pipelines while collaborating across engineering, product, UX, and research teams.

Design, build, and ship production-grade LLM/agentic AI solutions (RAG, tool-augmented agents, retrieval pipelines). Integrate AI into enterprise systems, ensure observability and guardrails, maintain high code quality, instrument outcomes, and enable handover and reuse.

Design, develop, and maintain complex cross-system software; translate user requirements into solutions; implement best practices and development processes; resolve complex technical issues; mentor and train junior engineers; design complex data models and complete difficult bug fixes; participate in specifications, code reviews, and collaborate across teams in various development environments.