Top Tech Jobs & Startup Jobs in Los Angeles, CA

Leads product vision, roadmap, and execution for AI-enabled, backend, API, data, and user-facing products. Partners with executives, engineering, data science, business intelligence, and platform teams to define requirements, evaluate technical tradeoffs, conduct research, establish KPIs, run experiments, and deliver customer-focused solutions. Uses quantitative and qualitative insights to prioritize initiatives, analyze markets and competitors, and drive complex software products from concept through iterative development.

Sell WebMD Care and Vitals.com physician directory listings to medical practices nationwide. Responsibilities include managing prospect lists, cold calling at least 50 prospects daily, consultative selling, explaining product benefits, closing deals, and meeting sales quotas. The role requires strong organization, communication, self-motivation, and time management. It offers a $50,024 base salary plus uncapped commissions, with top performers earning over $100,000.

Leads large-scale, cross-functional software initiatives using AI-augmented program management. Responsibilities include technical design reviews, capacity and dependency planning, scheduling, delivery, risk management, executive communication, knowledge management, AI tooling roadmap input, agent evaluation, practice leadership, and adoption. Requires technical project management experience, production experience with LLM agents and AI evaluations, agile delivery expertise, strong judgment in ambiguous environments, and the ability to influence engineering and senior stakeholders.

Leads cross-functional AI strategy and transformation projects, partnering with operations, senior leadership, and AI engineers to identify, test, and implement workflow automation. Drives rapid MVP development, process re-engineering, project coordination, stakeholder communication, root-cause analysis, and strategic improvements that support business growth. Uses data analysis, spreadsheets, AI technologies, project management tools, and presentation software to manage multiple initiatives and deliver measurable outcomes.

Manage AI, data science, analytics, and web projects from concept through launch. Responsibilities include defining scope, documenting tasks, developing roadmaps, coordinating cross-functional teams, communicating status and risks, and resolving project, design, and resource issues. The role requires strong understanding of software development lifecycles, testing, deployment, Agile/Scrum methodologies, scheduling, risk analysis, and requirements gathering.

Develop and grow new law-firm customer accounts within an assigned territory. Responsibilities include prospecting, cold calling, consultative selling of web-based marketing and advertising solutions, achieving monthly sales quotas, advising clients on marketing strategies, and collaborating with account management to support retention. The role requires field sales activity, relationship management, independent organization, and occasional overnight travel.

Design, build, and deploy production-grade AI applications end to end. Develop stateful multi-agent workflows with LangGraph, rapidly prototype full-stack applications, and create automated LLM evaluation systems measuring accuracy, latency, hallucinations, and regressions. Integrate AI safely into business workflows, work with vector and relational databases, provide framework feedback, and mentor teammates while owning applications from concept through production.

Supports in-house legal operations including contract intake, intellectual property, insurance, compliance reviews, legal research, invoices, litigation activities, audits, due diligence, and special projects. Uses AI platforms, prompt engineering, workflow automation, and knowledge management to improve legal workflows while verifying AI-generated outputs for accuracy and compliance.

Lead complex data engineering programs involving platform migrations, ETL/ELT pipelines, BI reporting migrations, infrastructure upgrades, and data architecture modernization. Coordinate dependencies across engineering, product, analytics, infrastructure, and operations teams. Define milestones, validation criteria, SLAs, risk mitigation, migration sequencing, governance, and stakeholder communications while ensuring continuity for downstream systems and consumers.

Provides FP&A and analytical support for multiple business units. Partners with business leaders, builds financial models, supports forecasting and budgeting cycles, contributes to strategic projects, and uses AI tools for analytical work while validating outputs. The role requires translating complex data into actionable recommendations, identifying business drivers, and improving reporting processes. It offers early ownership and exposure to senior leadership.