Top Tech Jobs & Startup Jobs

Supports enterprise AI governance by developing policies, maintaining control frameworks, assessing AI risks, monitoring regulatory compliance, and reporting governance metrics. Collaborates with legal, compliance, security, AI, and business stakeholders to promote responsible AI practices. The role also researches emerging regulations, supports audits, documents findings, and recommends improvements to governance processes.

Reviews AI-generated content for accuracy, relevance, safety, bias, compliance, and adherence to quality standards. Documents review outcomes, identifies recurring issues, provides structured feedback to AI trainers and prompt engineers, tracks quality metrics, prepares reports, and supports model improvement, benchmarking, guideline updates, and AI operations best practices.

Leads the global sales organization by developing sales strategy, expanding markets, driving revenue, managing strategic partnerships, and overseeing sales operations. Builds and mentors geographically dispersed teams, manages enterprise sales cycles, monitors performance metrics, oversees budgets, collaborates cross-functionally, and represents the company at industry events. Extensive travel is required.

Provides legal support to the General Counsel by drafting and negotiating contracts, advising business units and executives, conducting legal research, monitoring laws and regulations, and communicating policies. The role covers transactions, mergers and acquisitions, consumer law, intellectual property, telecommunications, insurance, and data privacy. Candidates must hold a Juris Doctorate, be admitted to at least one U.S. state bar, and have at least two years of legal practice experience.

Leads the architecture, development, deployment, governance, and optimization of enterprise Generative AI solutions. Builds applications using LLMs and foundation models, develops prompt engineering frameworks, supports AI strategy, ensures secure and responsible deployment, mentors engineers, evaluates emerging technologies, and translates business needs into scalable technical architectures.

Leads end-to-end M&A integration from pre-acquisition planning through Day 1 readiness and post-close transformation. Responsibilities include negotiating Transaction Service Agreements, developing integration roadmaps, coordinating cross-functional workstreams, tracking synergies and ROI, managing risks, supporting executive governance, and implementing change management. The role also builds integration capabilities, coaches stakeholders, and ensures operational continuity across HR, Finance, IT, Operations, and other functions.

Leads organization-wide AI workflow automation initiatives, including strategy, opportunity identification, workflow design, process optimization, and program delivery. Manages cross-functional stakeholders, timelines, budgets, governance, adoption, performance metrics, reporting, and continuous improvement. Evaluates emerging AI and automation technologies, develops business cases and ROI assessments, and drives scalable solutions that improve efficiency and business outcomes.

Leads the strategy, roadmap, development, launch, adoption, and optimization of AI-powered products. Defines requirements, priorities, metrics, and success criteria while coordinating engineering, AI, business, executive, and customer stakeholders. Evaluates emerging technologies, supports responsible AI governance, manages risks, and ensures products deliver measurable business outcomes. Requires strong product management, Agile, analytical, communication, and technical translation skills.

Leads onboarding and ongoing training for approximately 50 contact center agents through in-person, virtual, and self-paced learning. Develops and updates curricula, lesson plans, guides, and digital content; partners with Quality to address knowledge gaps; ensures resources remain current; and evaluates training effectiveness using assessments, feedback, and performance data.

Leads the strategy, roadmap, development, launch, and optimization of AI-powered products. Defines product vision, requirements, priorities, success metrics, and adoption goals while coordinating engineering, AI, business, executive, and customer stakeholders. Evaluates emerging AI capabilities, supports responsible AI governance, manages product performance, and drives continuous improvement aligned with business objectives.