Top Tech Jobs & Startup Jobs in Los Angeles, CA

Sources, screens, interviews, and hires candidates for high-volume roles, with emphasis on Spanish-speaking talent. Manages the full recruitment lifecycle, maintains candidate pipelines, collaborates with hiring managers, uses ATS and sourcing tools, represents the company at recruitment events, and ensures compliant, professional candidate communication in English and Spanish.

Designs, tests, optimizes, and manages prompts for large language models and AI applications. Develops reusable prompt templates, evaluates AI outputs, conducts A/B testing, monitors performance, and improves accuracy, consistency, and business relevance. Collaborates with AI engineers, product managers, trainers, and business stakeholders to translate requirements into prompting strategies. Researches generative AI advancements and contributes to prompt engineering standards, evaluation methods, and responsible AI practices.

Supports accounting operations by preparing reconciliation reports, reconciling payment trackers across seven agencies, resolving payment discrepancies, processing payment returns, and maintaining accurate financial data. The role requires strong attention to detail, Excel proficiency, organizational skills, and familiarity with payment processors, banks, and financial systems.

Leads enterprise AI workflow automation strategy, identifying opportunities, prioritizing initiatives, designing scalable solutions, and managing implementation programs. Partners with business and technical stakeholders, oversees timelines and deliverables, establishes governance, measures ROI and operational outcomes, and drives continuous improvement. The role also evaluates emerging AI, RPA, and automation technologies while supporting organizational change, adoption, and transformation.

Owns AI product backlogs, priorities, requirements, user stories, and acceptance criteria. Translates business needs into technical solutions, coordinates stakeholders and delivery teams, supports Agile ceremonies and product releases, monitors adoption and performance, and drives continuous improvement. The role also identifies AI-driven business opportunities, supports responsible AI practices, and contributes to AI product strategy.

Leads operational due diligence for potential acquisitions, evaluating capabilities, processes, costs, synergies, risks, and integration readiness. Develops post-transaction roadmaps, performance improvement initiatives, executive reports, and presentations. Supports change management, monitors integration progress, and tracks synergy realization while collaborating with cross-functional teams.

Lead business development strategy, market expansion, regional sales initiatives, lead generation, client engagement, pipeline management, proposals, contract negotiations, and market intelligence. The role also mentors and manages business development teams while driving revenue growth and strategic partnerships in B2B and infrastructure sectors.

Develop and maintain client relationships within the staffing industry, identify new business opportunities, drive revenue growth, and advise clients on workforce solutions. Responsibilities include strategic planning, sales leadership, prospecting, pipeline development, appointment setting, and coordinating qualified leads through the sales cycle. The role also includes mentoring direct reports and ensuring strong client satisfaction.

Leads human capital due diligence and integration planning for mergers and acquisitions. Responsibilities include evaluating compensation, benefits, labor relations, compliance, organizational structures, workforce strategies, cultural alignment, HR technologies, and change readiness. The role develops post-close action plans, collaborates with finance, legal, and business leaders, and prepares executive reports on workforce risks and opportunities. Experience with global HR operations, BPO workforce models, and the full M&A lifecycle is required.

Tests and validates AI-powered products, machine learning models, and Generative AI applications. Designs test strategies, executes functional, regression, and user acceptance testing, validates model outputs, identifies defects, analyzes quality metrics, documents evidence, and supports compliance and release readiness. Collaborates with AI engineers, product managers, and business teams to improve testing methodologies, quality frameworks, and AI evaluation practices.