Top Tech Jobs & Startup Jobs

Provide technical support for a product vertical, troubleshoot and resolve software/network issues, run basic SQL queries, maintain tickets in Salesforce, escalate when needed, meet SLAs, obtain Public Trust clearance, and deliver excellent customer service during assigned CST shifts.

Lead product strategy and delivery for cloud-native infrastructure and AI platform capabilities. Define roadmaps, translate technical constraints into requirements, improve developer experience and observability, track product metrics, and drive adoption through cross-functional collaboration with Engineering, Security, Finance, and partners.

The Senior Product Manager will lead AI-focused product strategies for internal and external developer experiences, oversee product lifecycle management, and mentor junior team members while leveraging data and AI technologies to enhance developer productivity and satisfaction.

Design, build, and operate distributed, cloud-native full‑stack services and data pipelines at petabyte scale. Troubleshoot production issues, lead incident response and root cause analysis, mentor engineers, influence reliability/security/performance practices, and participate in on-call rotations to ensure highly available, scalable AI-powered legal data solutions.

Design and build scalable frontend platform infrastructure for AI products: reusable UI libraries, micro-frontend composition, AI context-sharing, testing and CI/CD improvements, accessibility and performance optimization, and mentor engineers.

Design, develop, and maintain partner-facing enablement content, learning journeys, and GTM assets. Manage Partner Portal and asset library, run onboarding and launch programs, ensure content governance, and iterate using partner feedback and engagement data.

Lead partner communications, community programming, and recognition to engage and retain commercial partners. Manage partner portal content, channel webinars, partner briefings, regional events, advocacy and awards, competency validation, and feedback-driven program improvements to increase adoption and partner-driven business outcomes.

Contribute to building and operating scalable cloud services, develop user interfaces, collaborate on products, and improve engineering practices.

Lead and grow an applied science team to build reliable, production-ready generative AI systems for legal workflows. Own end-to-end AI readiness, architecture, evaluation, error analysis, deployment, and monitoring while partnering with product, engineering, and legal experts to scale agentic assistants and large-scale document review.

Lead document-vision research and production systems for multimodal legal evidence understanding. Define evaluation standards, frame hard problems, design and ship models, run efficacy studies and monitoring, mentor senior scientists, and advise leadership on scientific direction.