Top Tech Jobs & Startup Jobs

Manage Amazon and other e-commerce marketplace operations, including product listings, catalog information, A+ Content, product imagery, and brand storytelling. Develop customer-focused copy and visual content, audit listings for accuracy and compliance, resolve catalog issues, and coordinate with product, creative, design, and brand teams. Improve product discoverability, presentation, marketplace performance, and consistency across international markets and sales channels.

Lead design verification for complex IP and SoC projects using SystemVerilog and UVM. Develop verification plans, reusable testbenches, simulation and regression environments, protocol-specific tests, coverage models, and assertions. Debug functional and gate-level simulation failures, integrate third-party VIP, analyze coverage and regression results, and drive coverage closure. Collaborate with RTL, architecture, firmware, and emulation teams while mentoring junior engineers and improving verification methodologies.

Conduct account research and multichannel outbound prospecting across startup, mid-market, and enterprise segments. Engage technology decision-makers, communicate technology value propositions, qualify leads using sales frameworks, schedule discovery meetings and demonstrations, maintain CRM records, nurture prospects, collaborate with Marketing, support account-based selling, and track outreach and pipeline performance.

Build and own production-grade machine learning and generative AI systems, including LLM applications, RAG pipelines, conversational AI, agentic workflows, personalization, recommendations, and retrieval systems. Develop scalable APIs and backend services, evaluate and optimize AI systems for quality, latency, cost, and reliability, and manage solutions through experimentation, deployment, monitoring, and continuous improvement.

Design, develop, deploy, and maintain secure, scalable AWS cloud applications. Build REST APIs, microservices, serverless and event-driven solutions using AWS services. Manage databases, cloud security, CI/CD pipelines, monitoring, troubleshooting, testing, debugging, and code quality. Collaborate with architects, DevOps, QA, and business stakeholders while participating in code reviews and technical documentation.

Design, develop, and deploy scalable AWS cloud applications using serverless technologies, REST APIs, microservices, event-driven services, and databases. Build CI/CD pipelines, implement cloud security, monitor production systems, troubleshoot issues, write tests, maintain code quality, and collaborate with architects, DevOps, QA, and business teams.

Reviews and evaluates domain-specific documents, providing structured feedback on quality, accuracy, and relevance. The role requires strong analytical and written communication skills, detailed document review, proficiency with spreadsheet and presentation software, and the ability to follow structured guidelines. Candidates must have a bachelor’s degree, at least three years of relevant professional experience, English proficiency, and reside in the United States, Europe, the United Kingdom, or Canada.

Builds a talent network of experienced data scientists for potential future AI evaluation projects. Responsibilities may include creating grading criteria, evaluating AI-generated or human-produced data science work, writing evidence-based justifications, applying consistent judgment, and incorporating reviewer feedback. Candidates should have professional data science experience, strong Python and SQL skills, expertise in statistical modeling, machine learning, experimentation, causal inference, and excellent technical communication.

Reviewers with German corporate and M&A law expertise will test two AI platforms using identical legal prompts, compare their answers, score responses against a provided rubric, and submit concise written feedback. The role requires German legal qualification, fluent German, primarily law-firm transactional experience, independent work, deadline management, and an initial commitment of approximately 10 hours with potential for additional work.

Evaluate two AI platforms on Japanese commercial and contract law questions. Run standardized prompts, compare outputs, score responses against a provided rubric, and submit concise written feedback. The role requires independent work, precise communication, attention to detail, confidentiality under an NDA, and the ability to meet deadlines. The initial commitment is approximately 10 hours, with potential for additional work.