Top Tech Jobs & Startup Jobs

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.

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.

Lead an embedded AI squad from discovery to production: harden and deliver AI prototypes, design reusable agentic AI patterns, ensure security and data governance, integrate AI with enterprise systems, codify reference implementations, mentor engineers, and measure outcomes to scale solutions.

Design and deliver production-ready AI, NLP, and generative-AI solutions (including LLMs and RAG) for knowledge discovery. Build retrieval, ranking, recommendation, and decision-support systems, integrate scientific metadata and ontologies, establish evaluation and monitoring, write production Python code, and provide technical leadership and mentoring.

Lead and develop high-performing data science teams to build AI-powered search, retrieval, NLP, generative AI, and knowledge systems for scientific discovery. Define strategy, drive production deployments, establish evaluation and responsible AI practices, partner with product and engineering, mentor staff, and influence senior stakeholders to deliver measurable impact.

The Software Engineering Lead will manage a team, drive technical strategy for CK AI Service, and enhance delivery efficiency while mentoring engineers.

Lead analytics and evaluation for search and retrieval systems: define measurement strategies, run experiments, analyze ranking and user behavior, build dashboards, ensure data quality, and partner with product, data science, and engineering to improve relevance and retrieval performance.

Lead and run the accessibility program for Clinical Solutions: assess compliance, own VPATs/ACRs, build remediation roadmaps, embed accessibility into product and content workflows, coordinate accessibility champions, triage issues, and report program metrics to leadership.

Lead solution sales for scientific databases across Taiwan and SEA: develop account plans, qualify leads, close renewals and upsell, collaborate with CSM and SEs, represent company at events, and drive revenue growth through consultative selling and strategic account management.