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Repo Agent Jobs in California (NOW HIRING)

Corepass

Forward Deployed Engineer

Menlo Park, CA · On-site

$120 - $160/hr

... agent. It searches codebases, edits real files, runs checks and tests, and prepares work for review ... Diagnose and resolve technical issues arising from real customer environments, from repo-specific ...

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Harper

Product Engineer

San Francisco, CA · On-site

$140 - $280/hr

Your code doesn't sit in a repo. It runs the business. The Role You're a full-stack engineer with ... RAG, agent frameworks, or evaluation systems * Background in operations tooling, sales tech, or ...

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All JobsRepo Agent JobsRepo Agent Jobs in California

Repo Agent information

See California salary details

$8

$21

$37

How much do repo agent jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for repo agent in California is $21.71, according to ZipRecruiter salary data. Most workers in this role earn between $12.95 and $26.83 per hour, depending on experience, location, and employer.

What is a repo agent?

Repo agents, short for repossession agents, are professionals hired by lenders or financial institutions to recover property—most commonly vehicles—that have been defaulted on by borrowers. Their primary responsibility is to locate and legally repossess collateral when a borrower fails to make payments as agreed. Repo agents typically work with banks, credit unions, and finance companies, and must follow strict legal guidelines to avoid breaching the peace during repossession. The job often requires investigative skills, discretion, and a thorough understanding of state and federal repossession laws.

What skills and qualifications are needed to thrive as a repo agent?

To thrive as a Repo Agent, you need a solid understanding of repossession laws, attention to detail, a valid driver's license, and often a high school diploma or equivalent. Familiarity with GPS tracking systems, recovery management software, and sometimes certification from organizations like the Certified Asset Recovery Specialist (CARS) program are typical. Strong negotiation, conflict resolution, and effective communication skills help you handle tense situations and interact professionally with clients and debtors. These abilities are essential for ensuring legal compliance, personal safety, and successful asset recovery in challenging and dynamic environments.

What challenges do repo agents face in the field, and how can they be managed?

Repo Agents often encounter challenging situations such as dealing with uncooperative or confrontational vehicle owners, working irregular hours, and operating in varying weather conditions. To manage these challenges, agents rely on strong communication skills, thorough knowledge of legal regulations, and situational awareness. Most employers provide training on conflict de-escalation and safety protocols, and teamwork with dispatchers and other agents is essential for support and coordination during repossession assignments.

What is the difference between Repo Agent vs Repo Clerk?

AspectRepo AgentRepo Clerk
CredentialsDriver's license, sometimes a repossession licenseBasic administrative skills, possibly some licensing depending on state
Work EnvironmentOn-site at repossession locations, vehicle lots, or client sitesOffice settings, administrative offices, or remote work
Employer & IndustryRepossession agencies, auto finance companies

Repo Agents are responsible for physically locating and recovering vehicles, often working in the field. Repo Clerks handle administrative tasks related to repossessions, such as documentation and record-keeping. While both roles support the repossession process, Repo Agents focus on fieldwork, whereas Repo Clerks focus on office-based tasks.

How do repo agents get paid?

Repo agents typically earn commissions or fees based on the number of successful repossessions they complete. They may also receive a flat fee per case or a percentage of the recovered value, often working on a contractual or hourly basis depending on the employer or agency. Compensation can vary depending on experience, location, and the specific company's payment structure.

How to become a repo agent?

To become a repo agent, you typically need a high school diploma or equivalent, a valid driver's license, and a clean driving record. Many employers require prior experience in collections or security, and some states may require a license or certification. Strong communication skills, knowledge of local laws, and the ability to work independently are also important.

What do repo agents do?

Repo agents are responsible for locating and recovering vehicles or property when borrowers default on loans. They often work with law enforcement and use tools like GPS tracking and skip tracing techniques to find assets, following legal procedures and company policies. Strong communication skills and knowledge of repossession laws are important for this role.

What are popular job titles related to Repo Agent jobs in California?

For Repo Agent jobs in California, the most frequently searched job titles are:

What job categories do people searching Repo Agent jobs in California look for?

The top searched job categories for Repo Agent jobs in California are:

What cities in California are hiring for Repo Agent jobs?

Cities in California with the most Repo Agent job openings:

Repo Agent jobs near you
Infographic showing various Repo Agent job openings in California as of August 2026, with employment types broken down into 86% Full Time, and 14% Temporary. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $45,152 per year, or $21.7 per hour.

QA Engineer (SDET) - AI, Data & Platform Quality

Extractable

San Francisco, CA • Remote

Full-time

Re-posted yesterday

Job description

Programmatic QA Testing for LLMs & Agents Data Quality Platform Reliability

About Finalytics.ai

Finalytics.ai is the leading provider of personalization for the financial industry. Our platform combines data integrations, machine learning, and real-time technology to make digital experiences more relevant and higher-converting for credit unions and banks. We're a growing startup led by industry veterans, building the next generation of AI-driven personalization.

Why This Role Is Different

QA at Finalytics goes well beyond clicking through a UI. Our platform makes model-driven decisions, runs LLMs and agents that generate content and answer questions, and depends on data pipelines that feed those models every day - and all of it has to be tested programmatically.

We're looking for an engineering-minded QA team contributor to help build quality across three areas: our core personalization features, our LLM and agentic capabilities, and the data that powers them. This is a coding role, embedded in the same repo and release flow as our engineers that will report directly to the CTO. You won't just find bugs - you'll build the automated tests, evals, and data checks that let a small team ship trustworthy AI every sprint.

Our stack is Python/Django with a JavaScript personalization tag, backed by MySQL, Celery, BigQuery, and AWS.

What You'll Do

1. Programmatic QA of Core Features

  • Extend our scenario test runner - a proprietary harness that captures real production personalization requests and replays them across environments, asserting on expected algorithms and content selection. Grow it into automated regression across every client.
  • Write automated tests in Python with pytest across our tiers - unit, integration, HTTP, and end-to-end.
  • Build headless Playwright end-to-end tests to verify how personalized content and tracking render on real client pages.
  • Harden the pre-deploy quality gate and pre-commit checks that block bad changes automatically.

2. Testing & Standardizing LLMs and Agents

  • Design evals for non-deterministic AI features - our conversational analytics assistant, AI content builders, and generative SEO - measuring correctness, grounding, and regression across prompt and model versions.
  • Test the tool-calling and agentic layers - that function-calling loops pick the right tools and guardrails hold on adversarial input.
  • Validate our agent/MCP interface - contract conformance, rate limiting, authorization, and safe failure.
  • Help set our standards for shipping AI - catching hallucinations and drift, and benchmarking prompt/model changes before clients see them.

3. Data Quality Engineering

  • Build automated data-health checks that flag stale rollups, incomplete coverage, and broken aggregations before they hit a client dashboard.
  • Validate data pipelines end-to-end - rollups, funnel/rate/financial ingestion, and BigQuery - with drift detection across environments.
  • Guard model inputs so the signals our ML depends on stay accurate and complete.

4. Reliability & Performance

  • Track platform performance - response times, JS load, and page speed - and help keep it fast.
  • Stand up quality dashboards - uptime, coverage, data-health, and eval scores.

5. Collaboration & Bug Lifecycle

  • Work in the codebase alongside engineers to diagnose issues across development, release, and deployment.
  • Drive the bug lifecycle - reproduce, capture with a failing test, and verify the fix.

What We're Looking For

  • 3+ years in QA/SDET or test automation with a code-first approach.
  • Strong Python - you write clean test code and can read the app you're testing.
  • pytest (preferred) and browser automation (Playwright or Selenium).
  • API and contract testing experience.
  • A genuine interest in testing AI - comfortable with non-determinism, evals, and prompts.
  • Data-savvy - strong SQL, and the instinct to validate pipelines and reconcile data.
  • Building automated quality gates into the deploy and release process.

Nice to Have

  • Testing or evaluating LLM applications - evals, prompt regression, tool-calling agents, or MCP.
  • Data or analytics QA - BigQuery or ETL/rollup validation.
  • Django, MySQL, or Celery experience.
  • Security testing with SAST/DAST tooling.
  • Familiarity with machine learning.
  • Financial industry, personalization, or CMS/marketing-platform experience.
  • Familiarity with AWS.
  • SaaS startup experience on a fast-moving, multi-tenant platform.

Why Finalytics

  • Frontier work - help define what QA means for AI, agents, and data-driven personalization in finance.
  • Direct impact - help shape how quality works across the platform, reporting straight to the CTO.
  • Automation-first culture - your work is code, in the same repo and release flow as engineering.
  • Remote-first, collaborative, low-ego team growing with a scaling fintech.

Apply