Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead strategy and execution for StubHub’s post-purchase seller experience. Own the product roadmap, seller policies, incentives, payment and dispute workflows, enforcement systems, and AI-driven automation. Partner cross-functionally with Engineering, Operations, Customer Support, Finance, and Legal to reduce seller friction, improve marketplace trust, optimize collections, and measure customer and policy outcomes through experimentation and analytics.

The Senior Data Scientist develops and operationalizes predictive models and AI algorithms across investment platforms. Responsibilities include data analysis, feature engineering, model experimentation, deployment with MLflow and Docker, CI/CD automation, monitoring for drift and performance, data pipeline and lake design, governance, security, compliance, and stakeholder collaboration. The role requires translating technical findings into strategic recommendations and managing the full machine-learning lifecycle.

Leads client listening, win/loss analysis, market insight, strategic account programs, and client development initiatives. Translates research into actionable growth strategies, establishes governance and repeatable processes, monitors program outcomes, and manages team members. Requires strong data analysis, dashboard development, CRM and survey-platform expertise, executive communication, and cross-functional leadership within a marketing or business development environment.

Processes semi-monthly payroll, verifies timesheets and employee data, manages deductions and garnishments, coordinates employment changes, reconciles payroll accounts, responds to inquiries, generates reports, ensures California payroll compliance, improves payroll systems, and supports staff training.

Owns strategic enterprise AI deployments from scoping through production go-live and customer self-sufficiency. Responsibilities include defining scope and exit criteria, managing multi-workstream delivery plans, customer dependencies, risks, budgets, capacity, testing, validation, training, and executive communication. The role directs forward-deployed and customer solutions engineers, supports expansion planning, develops reusable delivery patterns, and ensures successful adoption across regulated enterprise environments.

Design and deploy ML and NLP models (including LLM evaluation) to predict borrower risk and property valuations, advise business teams, mentor junior analysts, and foster data-driven experimentation.

Coordinate the full recruiting and candidate experience process, including interview scheduling, rescheduling, onsite logistics, candidate communications, paperwork, surveys, and onboarding support. Maintain Ashby data hygiene, manage interview records and scorecards, improve hiring workflows, and use AI tools to reduce administrative work. Partner closely with hiring managers and HR while ensuring candidates receive timely, thoughtful communication throughout the hiring process.

Leads strategic client relationships, account satisfaction, CRM and customer acquisition initiatives, integrated marketing programs, and agency delivery. The role manages complex projects, coordinates cross-functional teams and partners, identifies account growth opportunities, and ensures work is delivered on time, on budget, and aligned with client objectives. Regular collaboration with clients and stakeholders is required, including onsite work at client offices.

Supports annuity contract filing and regulatory approval processes. Researches insurance department requirements, prepares compliant forms and supporting documentation, submits filings electronically, and coordinates approvals with regulators and internal teams. Helps install approved forms in administrative systems, maintains regulatory reference materials, communicates filing requirements, and supports audits and examinations. The role requires strong organization, analytical ability, attention to detail, communication, and proficiency with Microsoft Office.

Organizes healthcare claims, utilization, provider, and enrollment data to create recurring and ad hoc reports, dashboards, reconciliations, and analytical summaries. Identifies data-quality and process gaps, supports regulatory inquiries and cross-functional projects, tracks reporting deliverables, and translates complex healthcare data into actionable insights for business performance, cost containment, utilization, and compliance improvements.