Top Tech Jobs & Startup Jobs

Leads AI data annotation operations, managing workflows, resources, production targets, quality standards, audits, and performance metrics. Oversees annotation teams through coaching, recruitment support, onboarding, and performance management. Partners with AI engineers, trainers, product teams, and operational stakeholders to translate requirements into plans. Drives process improvement, automation, tool adoption, data integrity, and operational excellence across AI and machine learning data preparation initiatives.

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 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.

Performs accounting operations including accounts receivable, invoicing, journal entries, accounts payable transactions, bank and account reconciliations, month-end closing, and financial record adjustments. Maintains accurate accounting information and supports departmental activities while following established controls and accounting principles.

Maintains accurate financial records by recording journal entries, bank transactions, accounts payable bills, and credit card transactions. Performs month-end closing, bank reconciliations, and investigates and corrects accounting discrepancies. Provides accounting support to colleagues while working independently in a fast-paced office environment. The role requires attention to detail, organization, communication skills, QuickBooks knowledge, and successful completion of background and drug screenings.

Leads the design, development, and optimization of enterprise Retrieval-Augmented Generation platforms. Responsibilities include building retrieval architectures, ingestion and indexing frameworks, vector search, semantic retrieval, LLM integrations, scalable APIs, evaluation frameworks, governance controls, monitoring, troubleshooting, and performance optimization. The role provides technical leadership, mentors engineers, evaluates emerging technologies, and supports enterprise AI strategy and deployments.