Top Tech Jobs & Startup Jobs

Collaborate with teams to design and execute testing strategies, drive quality practices, and implement automation and performance testing to ensure high-quality software delivery.

Lead a team of engineers in designing and delivering software solutions. Mentor engineers while overseeing architecture, quality, and delivery in alignment with business goals.

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.

The Principal Architect will define enterprise architecture, drive architecture strategy, govern adherence to principles, collaborate with teams, and communicate complex technical concepts.

Design, build, and operate China-local content data platforms and production-grade data pipelines. Implement ingestion, ETL/ELT, metadata extraction, validation, enrichment, and integrations. Ensure data quality, observability, compliance with China regulations, performance tuning, and automation while collaborating with product, engineering, and business stakeholders.

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.

The role involves driving automation and CI/CD integration for enterprise platforms, ensuring scalability and compliance through Infrastructure-as-Code, and participating in recovery planning and system reliability initiatives.

Lead a data science team to deliver data-driven solutions in life sciences, applying machine learning, NLP, and AI methods. Oversee project management, stakeholder collaboration, and ensure high-quality standards in data science practices.

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.

Lead global go-to-market strategy for Elsevier's radiology and pathology clinical decision support portfolio. Set GTM direction, drive renewals and revenue protection, design pricing and packaging, enable sales and account teams, build strategic technology partnerships, and represent commercial priorities cross-functionally to grow recurring revenue, accelerate deal velocity, and expand customer adoption worldwide.