Jobs at MARLOWE COMPANIES INC.

Supports responsible AI governance by developing frameworks, conducting fairness and risk assessments, monitoring regulatory requirements, maintaining compliance documentation, educating stakeholders, and improving AI oversight practices. Works across technical, legal, compliance, risk, and business teams to promote ethical, transparent, accountable, and trustworthy AI systems.

Develop, optimize, test, and maintain prompts for conversational AI, automation, and business applications. Evaluate AI outputs, conduct comparative experiments, improve response quality, and create reusable prompt libraries. Translate business needs into prompting strategies while collaborating with AI engineers, trainers, product teams, and stakeholders. Document standards, support governance, research emerging techniques, and contribute to Generative AI implementation and continuous improvement.

Develop new business opportunities by prospecting, generating leads, building C-suite relationships, conducting client presentations, assessing needs, and closing complex consultative sales. The role involves creating tailored proposals and profitable programs, communicating value propositions, monitoring competitors, and collaborating internally on sales strategies. Frequent overnight travel is required for client meetings and presentations, with primary emphasis on new business rather than account management or team leadership.

Provides remote executive and personal administrative support, including calendar and meeting management, travel coordination, expense reporting, confidential information handling, correspondence, event planning, record keeping, bill payment, and project follow-up. The role requires proactive organization, sound judgment, excellent communication, and the ability to manage competing priorities independently while supporting senior leaders and operational initiatives.

Develop, deploy, and optimize scalable machine learning solutions, including predictive models, deep learning systems, data pipelines, and model-serving infrastructure. Monitor model performance, manage retraining and lifecycle processes, ensure quality and compliance, and support responsible AI practices. Collaborate with data scientists, engineers, product teams, and business stakeholders while researching emerging AI technologies and improving AI architectures.

Monitors and improves AI-powered systems by tracking performance, utilization, KPIs, incidents, and operational trends. Develops reports and dashboards, identifies efficiency opportunities, supports governance and compliance activities, documents procedures, and collaborates with AI engineers, product teams, business stakeholders, and operations leaders to resolve issues and improve adoption.

Leads business analysis for AI and automation initiatives, identifying adoption opportunities, developing business cases, gathering requirements, and aligning business needs with technical solutions. The role facilitates stakeholder workshops, supports solution design, testing, deployment, change management, governance, and benefits realization. It also advises executives, monitors outcomes, promotes business analysis standards, and mentors junior analysts.

Design, develop, deploy, and optimize Generative AI applications using LLMs and AI frameworks. Build scalable APIs, automate workflows, integrate foundation models with enterprise systems, and improve model performance through testing and experimentation. Implement monitoring, quality assurance, governance, security, compliance, documentation, and risk mitigation. Evaluate emerging technologies, support proofs of concept, and collaborate with product, engineering, and business teams.

Annotates, labels, categorizes, validates, and quality-checks structured and unstructured data for AI model training. Maintains dataset accuracy, consistency, documentation, and version control while collaborating with AI engineers, data scientists, and quality teams. The role also supports annotation workflow management, guideline development, calibration exercises, error identification, and continuous process improvement.

Design, test, and optimize prompts for Generative AI systems across customer support, content generation, workflow automation, knowledge management, and productivity use cases. Evaluate AI outputs for accuracy, tone, usefulness, and consistency; document findings and maintain prompt libraries and standards. Collaborate with AI engineers, product teams, data scientists, and business stakeholders to translate requirements into prompting solutions while researching emerging AI tools and methodologies.

Leads new client acquisition and strategic relationship development for IT and BPO services. Identifies and engages senior decision-makers, develops sales and marketing strategies, presents proposals and tenders, conducts market research and competitor analysis, and collaborates cross-functionally to deliver contract-winning solutions. The role requires a proven record of selling complex technology, consulting, managed services, and system integration solutions while meeting or exceeding sales targets.

Own the strategy, roadmap, development, delivery, and continuous improvement of AI-powered products. Translate business and customer needs into product requirements, coordinate engineering and AI teams, define success metrics, monitor adoption and ROI, and support responsible AI governance. The role also involves stakeholder management, leadership communication, market and technology evaluation, release planning, and ensuring successful product implementation.

Provides remote administrative support to an Executive Assistant by managing records, data entry, filing, communications, scheduling, travel arrangements, contact lists, spreadsheets, presentations, and other office tasks. The role requires strong organization, attention to detail, confidentiality, communication, multitasking, and independent work. Candidates need administrative or virtual assistant experience, Microsoft Office proficiency, reliable high-speed wired internet, and accurate typing skills.

Provides administrative and clerical support to leadership, including scheduling, email and phone correspondence, presentations, travel arrangements, social media content, and confidential information handling. Requires strong organization, communication, multitasking, time management, attention to detail, Microsoft Office proficiency, accurate typing, and reliable internet access. Prior administrative experience is advantageous but not required.

Supports high-volume payment processing, reconciles activity across payment processors, investigates discrepancies, manages NSFs and chargebacks, processes batches and refunds, prepares client remittances, assists with bank reconciliations and month-end reporting, and maintains accurate financial records across multiple systems.

Supports AI governance frameworks, policies, risk assessments, compliance reviews, monitoring, reporting, audits, and responsible AI practices. Partners with legal, compliance, security, AI, and business stakeholders to interpret regulations, establish controls, mitigate risks, and improve governance maturity. Tracks regulatory developments, maintains documentation, advises project teams, and promotes responsible AI adoption across the organization.

Leads post-deal business transformation and integration initiatives, translating M&A strategies into execution roadmaps. Manages workstreams spanning operations, technology, and HR; tracks performance metrics and synergy realization; implements process improvements; supports cultural integration and employee engagement; and provides leadership updates on milestones and progress.

Leads M&A deal sourcing and pipeline management by identifying acquisition targets, screening financial and operational fit, preparing executive opportunity assessments, monitoring market and competitor activity, and supporting valuation and synergy modeling. The role requires corporate development, investment banking, or strategy experience, strong financial analysis, BPO or services industry deal experience, and the ability to independently manage early-stage acquisition discussions.

Leads the architecture, development, deployment, and optimization of enterprise machine learning solutions. Responsibilities include designing scalable ML systems, developing predictive models, supporting MLOps and model lifecycle management, improving data quality and feature engineering, implementing governance and validation frameworks, and mentoring technical teams. The role also contributes to AI strategy, innovation initiatives, responsible AI practices, and organizational modernization.

Evaluates IT infrastructure, applications, cybersecurity, compliance, costs, scalability, and compatibility during mergers and acquisitions. Leads technology integration and separation planning, identifies modernization and consolidation opportunities, conducts IT capability and maturity assessments, recommends governance frameworks, and aligns technology strategy with business objectives. The role also prepares diligence reports and executive presentations while collaborating with internal and external stakeholders in fast-paced transaction environments.