Top Tech Jobs & Startup Jobs

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.

Lead and scale a global sales enablement function: design onboarding and continuous learning, create playbooks and content, own enablement tech and analytics, embed sales methodology (MEDDPICC), develop front-line manager programs, partner cross-functionally, and directly lead and deliver high-impact enablement initiatives to improve ramp, win rates, and quota attainment.

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.

Lead an embedded AI innovation squad from discovery to production: harden prototypes, design reusable agentic AI patterns (orchestration, tools, memory, retrieval), integrate AI into enterprise systems, ensure security and data governance, codify reference implementations, mentor engineers, and measure outcomes to scale validated solutions across the organization.

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.

Build and own the platform API and internal tooling for real-time EHR sync, FHIR ingestion, and vocabulary normalization. Implement and maintain ingestion pipelines, ensure sync reliability, perform framework upgrades and developer tooling, diagnose production issues, and maintain observability and correctness. Ship production features and own on-call responsibilities for platform subsystems.

As a Senior ML Ops Engineer, you will bridge Data Science and Engineering to automate ML workflows, manage CI/CD for ML systems, and collaborate with various teams to implement solutions for AI features and services.

The Senior Sales Compensation Manager will design, implement, and manage sales compensation plans, ensuring alignment with business objectives and compliance with policies. This role includes collaborating with stakeholders and analyzing sales performance data.

Design, build, evaluate, and scale production-ready AI solutions (LLMs, NLP, retrieval, and generative AI) to support scientific discovery. Develop RAG systems, semantic search, summarization, QA, ranking, recommendation, and evaluation frameworks. Integrate knowledge graphs and domain metadata, partner with engineering and product teams, lead technical decisions, and mentor data scientists.