Top Tech Jobs & Startup Jobs in Los Angeles, CA

As a Staff AI Engineer, you'll lead AI product development, overseeing technical direction, system deployment, and model evaluation while collaborating across teams.

Lead B2B activation marketing to drive patient starts from commercial referral channels by building scalable systems, attribution frameworks, and repeatable playbooks. Implement MarTech and data-driven strategies, run A/B and incrementality tests, automate campaign execution using AI/ML and LLM tools, and templatize activation campaigns while managing and growing a cross-functional team.

Design, build, and iterate patient onboarding systems and registration/eligibility flows. Own end-to-end projects, run experiments, optimize for performance, correctness, and resilience, and provide technical leadership, mentoring, and cross-functional collaboration with Product, Design, and Analytics.

Lead data-driven provider quality initiatives across the provider network: analyze large datasets, identify gaps and opportunities, design and execute cross-functional programs (note quality, provider reviews, AI documentation), and measure outcomes to improve core metrics.

The role involves designing AI systems for mental healthcare, focusing on building scalable, production-grade systems that enhance patient engagement and clinical operations. Responsibilities include setting technical standards and ensuring safety and reliability while working with advanced AI technologies.

Provide legal guidance on healthcare regulatory matters and commercial contracting for payor and clinical partnerships. Advise on corporate practice of medicine, fraud and abuse, telehealth, HIPAA, Medicare/Medicaid, AI clinical governance, and negotiate provider, payor, and commercial agreements to enable compliant growth.

Partner with Sales, Marketing, and Revenue Operations to evaluate complex deals, build scenario-based topline forecasts, and translate financial data into clear recommendations that inform growth and GTM strategy. Own deal desk analysis, modeling, and executive communications in a fast-paced remote environment.

This role drives data-driven decision-making in product analytics, collaborating with cross-functional teams to generate actionable insights and evaluate new launches to enhance platform growth.

Lead and build a new Trust & Safety engineering domain: design and implement systems to detect and mitigate fraud, billing anomalies, and credential abuse. Architect product and operational solutions, mentor engineers, define processes, and deliver scalable, auditable safety tooling across internal and external workflows.

Partner with Health Plans and Partnerships to shape growth strategy using unit economics, scenario-based forecasting, and granular financial models. Evaluate trade-offs, drive data-driven decisions, translate financial concepts for non-finance partners, and partner cross-functionally to test assumptions and ensure operational accountability in a fast-paced healthcare marketplace.