Top Tech Jobs & Startup Jobs in Los Angeles, CA

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.