Top Tech Jobs & Startup Jobs

Lead modernization of patent data processing workflows by owning roadmaps, designing AI-native automation (LLMs, NLP, CV), running discovery and experiments, defining requirements and success metrics, analyzing operational telemetry, and driving adoption and realized cost/productivity outcomes in a regulated, hybrid environment.

Lead design, optimization, and management of large-scale database systems and backend platforms. Build data models, schemas, indexes, and ETL pipelines; write and tune complex SQL; develop stored procedures and Java data access layers; debug production issues and optimize performance; automate operations with shell scripts in Linux/Unix environments; provide technical leadership and best-practice guidance across data engineering initiatives.

Lead analytic projects and model development: conduct code reviews, approve models, create frameworks and governance, manage small-to-medium teams, mentor staff, and maintain high standards for model delivery and customer engagement.

Design, build, and operate scalable enterprise AI/ML systems including LLM infrastructure, RAG pipelines, and autonomous agent frameworks. Provide architecture and code-level leadership, establish ML engineering best practices, implement safety guardrails and traceability, develop evaluation frameworks, and standardize CI/CD and lifecycle processes while ensuring compliance with data governance and responsible AI standards.

Lead design and validation of agentic AI capabilities for legal workflows using LLMs, NLP, RAG, hybrid search, embeddings and vector databases. Drive experimentation, evaluation, and metrics, translate results to product recommendations, collaborate with engineers and legal experts, and mentor team members.

Analyze article and newsletter performance, translate data into concise insights for editorial decision-making, run and interpret A/B headline tests, track audience behavior across products and channels, identify high-performing formats and topics, and collaborate with editorial, product, and marketing teams to grow subscriber engagement.

Posting contains company overview, equal opportunity and accommodation statements, and recruiter scam warning. No specific duties, responsibilities, or required qualifications are provided. Position noted as not eligible for benefits.

No specific responsibilities or duties are listed in the posting. The description contains company overview, equal employment statements, accommodation and privacy information, and applicant warnings; job-specific duties and qualifications are not provided.

Design and evolve enterprise-level software and system architectures, evaluate and introduce technologies, lead cross-functional teams to troubleshoot complex issues, monitor system health, and drive technical direction and shared infrastructure.

Lead architecture and productionization of scalable ML/LLM systems for legal products. Build LLM applications (RAG, agents), hybrid search, APIs, streaming/data pipelines, containerized deployments, and observability. Partner with data scientists to turn models into reliable, low-latency customer-facing services and establish reusable frameworks, best practices, and technical leadership across teams.