Top Tech Jobs & Startup Jobs

Lead quality initiatives for AI-driven workflows and complex software systems. Design and execute end-to-end test strategies, validate AI-generated outputs, test APIs, webhooks, integrations, and event-driven architectures, and conduct exploratory and manual testing. Partner with Product and Engineering on requirements and release readiness, improve automation coverage, document defects and QA standards, and mentor QA team members while ensuring reliable, compliant, and scalable releases.

Develop and deliver sales training, onboarding, and enablement programs; create presentations, case studies, product demos, and other sales collateral; collaborate cross-functionally with Product, Marketing, and Revenue Operations; analyze sales metrics to improve effectiveness; and stay informed on industry trends, competitors, and customer needs.

Lead quality engineering for a backend-heavy Immigration AI platform. Design test plans and cases, establish test environments, execute manual and automated testing, build custom frameworks and tooling, and test REST, asynchronous, event-driven, and backend services. Mentor engineers, conduct code reviews, identify automation opportunities, apply GenAI and LLMs, perform load and stress testing, and improve testing pipeline scalability, performance, and efficiency.

Facilitate remote legal depositions by managing Zoom sessions, troubleshooting participant technology, administering oaths, managing on- and off-the-record moments, following procedural scripts, protecting confidentiality, and ensuring high-quality audio for transcription. This flexible 1099 contractor role requires an active Colorado notary commission, reliable internet, a professional workspace, and availability during standard business hours.

Translate legal workflows into AI and ML requirements, evaluate model outputs, create legal AI quality standards, develop rubrics and annotation guidelines, identify hallucinations and edge cases, and provide structured feedback to engineering and product teams. Collaborate with ML engineers, product managers, data scientists, and annotation teams to improve prompts, retrieval strategies, agent workflows, and legal AI reliability.

Administer and optimize the Filevine legal technology platform for client law firms. Advise on configurations and workflows, troubleshoot technical issues, lead feature rollouts, train users, document processes, manage onboarding and offboarding, audit business processes, and drive platform adoption. The role requires legal workflow knowledge, SaaS administration, integration and automation expertise, project management, and frequent travel to client offices in the San Diego and Los Angeles area.

Administer and optimize the Filevine legal technology platform for law firm clients. Advise on configurations and workflows, troubleshoot technical issues, lead feature rollouts, manage onboarding and offboarding, audit business processes, train users, document procedures, and drive platform adoption. The role requires legal operations knowledge, SaaS integration experience, project leadership, bilingual English-Spanish proficiency, and availability in the Los Angeles area.

Build and operate real-time legal technology services across backend and frontend systems. Architect, deploy, monitor, debug, and scale high-availability applications and streaming pipelines. Partner with ML engineers on infrastructure and pipelines, review code, mentor engineers, and improve platform quality. The role requires full-stack ownership, strong streaming or queuing experience, product judgment, and fluent English collaboration.

Own AI-powered product features from technical design through production rollout, monitoring, and maintenance. Design APIs, services, data pipelines, and workflows integrating LLMs and machine-learning capabilities. Build reliable, secure, scalable systems using retrieval, structured generation, tool use, human review, and fallback patterns. Establish quality metrics and feedback loops while collaborating with ML engineers, software engineers, product teams, and legal domain experts.

Own AI-powered product features from design through deployment, monitoring, and maintenance. Build APIs, services, data pipelines, and workflows integrating LLMs; productionize prototypes with reliability, scalability, security, and cost controls. Implement retrieval, grounding, structured generation, tool use, human review, fallbacks, evaluations, tracing, and feedback loops. Collaborate with engineering, ML, product, and legal experts to deliver dependable customer experiences.