Top Tech Jobs & Startup Jobs

Sell booth space, sponsorships, media opportunities, and digital products for security industry events. Responsibilities include prospecting, managing accounts and territories, developing pipelines, forecasting revenue, analyzing competitors and industry trends, maintaining exhibitor lists, securing contracts, and ensuring timely payments. The role requires consultative B2B sales, cold calling, relationship building, presentation skills, organization, multitasking, and proficiency with Salesforce and Microsoft Office.

Analyze operational and software data to support decisions, define success metrics, identify efficiency opportunities, and propose experiments. Build data models, dashboards, reports, and visualizations; analyze large cloud-based datasets; modify queries; conduct A/B testing and web analytics; and communicate insights and recommendations to global operational stakeholders.

Owns global internal communications platforms, content production processes, and employee communication channels. Manages enterprise email systems, SharePoint intranet experiences, Microsoft Viva tools, and digital content governance. Creates and edits communications across email, intranet, newsletters, digital signage, and leadership channels. Partners with executives and cross-functional teams to translate business initiatives into clear messaging, optimize employee engagement, and use AI and analytics to improve communication effectiveness.

Develop and deploy advanced AI, machine learning, deep learning, and NLP models for complex legal-data problems. Build legal reasoning, question-answering, drafting, predictive, recommendation, and document-classification systems. Design production APIs, scale data and ML infrastructure, collaborate cross-functionally, and mentor junior data scientists. The role requires expertise with large datasets, LLMs, distributed computing, cloud platforms, and MLOps.

Lead the editorial side of a data journalism team: manage reporters, editors and researchers; shape story ideas and series; ensure accuracy, clarity and narrative strength of data-driven reporting; coach staff; partner with graphics, survey and research specialists; and coordinate cross-functional production to publish timely, rigorous journalism.

Provides email, chat, and phone support for Lex Machina users, answering product and legal questions, training customers, resolving issues, escalating bugs, and reporting customer insights to product and engineering teams. The role requires legal-field experience, strong communication, customer focus, multitasking, and proficiency with Microsoft Office and Google Apps. Applicants must work Pacific Time business hours.

Lead product strategy, roadmap, and staged migration of an agentic retrieval and orchestration engine from prototype to production. Coordinate cross-team dependencies, translate prototypes into engineering-ready work, support other squads' agentic requirements, and expand platform capabilities while driving data-driven evaluation and rapid prototyping.

Serve as the technical anchor for a cross-functional engineering squad building healthcare data platforms. Design and maintain Java Spring Boot, React, and Python data-processing applications; guide architecture, code quality, estimation, releases, integrations, and issue resolution. Build reliable data delivery pipelines, mentor peers, support Agile execution, and promote responsible AI-assisted development using tools such as GitHub Copilot.

Generates new and expansion revenue for legal technology, DMS integrations, and API solutions within large law firms. Leads complex enterprise sales cycles, technical discovery, executive engagement, demonstrations, proposals, negotiations, forecasting, and quota delivery. Partners with client managers and cross-functional Product, Engineering, Security, Legal, Engagement, and Customer Success teams. Translates technical capabilities into business value and navigates information security, procurement, legal, and technical validation processes.

Develop, design, test, and maintain enterprise software services and platforms supporting AI content products. Write maintainable production code, apply object-oriented design and coding best practices, resolve defects and technical issues, collaborate with development teams and stakeholders, and support cloud-based systems using AWS, Azure, Google Cloud, Docker, Kubernetes, monitoring, logging, and CI/CD practices. Participate in documentation and on-call rotations.