Top Tech Jobs & Startup Jobs

The Executive Recruiter manages the full recruitment lifecycle for executive and leadership roles, including sourcing, talent mapping, candidate evaluation, interviews, and placement. The role partners with senior leaders and hiring managers, maintains executive talent pipelines, provides market and compensation insights, monitors recruitment metrics, and delivers a positive candidate experience across multiple regions.

Reviews AI-generated content for accuracy, relevance, quality, safety, compliance, and adherence to organizational standards. Identifies factual inconsistencies, bias, harmful outputs, and recurring issues; documents findings and escalates concerns. Provides structured feedback to AI trainers and prompt engineers, tracks quality metrics, prepares reports, supports root-cause analysis, and helps improve prompts, training processes, and review guidelines.

Evaluates and validates AI chatbot functionality, response quality, conversational flows, compliance, and user experience. Executes test plans, regression testing, and user acceptance testing; documents defects and test outcomes; analyzes interaction trends; collaborates with AI trainers, prompt engineers, and development teams; prepares performance reports; and supports chatbot optimization and evaluation framework improvements.

Leads the design, development, and optimization of enterprise Retrieval-Augmented Generation platforms. Responsibilities include building retrieval architectures, ingestion and indexing frameworks, semantic and vector search systems, evaluation methods, scalable APIs, and LLM integrations. The role also covers security, governance, compliance, monitoring, troubleshooting, documentation, technical leadership, mentoring, and evaluating emerging AI retrieval technologies.

Partners with leaders and HR teams to execute HR strategies, support employee relations, improve engagement and retention, manage training and recognition programs, and align people initiatives with business goals. The role provides general HR support, resolves workplace issues, drives process improvements, and manages multiple priorities in a fast-paced, on-site environment.

Lead the architecture, development, deployment, governance, and optimization of enterprise Generative AI solutions. Build LLM-powered applications, prompt engineering frameworks, and scalable AI platforms while ensuring security, compliance, responsible AI practices, and lifecycle monitoring. Partner with business and technology leaders, translate requirements into architectures, mentor engineers, evaluate emerging technologies, and drive AI strategy, innovation, and proof-of-concept initiatives.

Supervise and develop a team of 15–20 inbound sales and service agents. Monitor performance, quality, productivity, and sales metrics; conduct coaching and reviews; manage scheduling and payroll submissions; resolve conflicts; support hiring and onboarding; collaborate with training, quality, IT, and operations teams; and identify process improvements to improve service and sales results.

Own and optimize the marketing technology stack, including CRM, automation, and analytics platforms. Manage campaign reporting, dashboards, data quality, lead flow, attribution, and scalable workflows for enterprise and mid-market campaigns. Align marketing metrics with business outcomes, collaborate with Sales Operations, and build marketing operations processes and best practices from the ground up in a B2B environment.

Supports responsible AI governance through framework development, risk and impact assessments, fairness and transparency reviews, regulatory compliance, documentation, stakeholder advisory, training, and continuous improvement. The role collaborates with technical, legal, compliance, risk, and business teams to promote ethical, accountable, and trustworthy AI adoption.

Leads the architecture, development, deployment, governance, and optimization of enterprise Generative AI solutions. Builds applications using LLMs and foundation models, develops prompt engineering and evaluation strategies, and ensures secure, scalable production deployments. Partners with executives and business leaders to define AI roadmaps, mentors engineering teams, evaluates emerging technologies, and drives proof-of-concept initiatives and responsible AI practices.