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Collection Strategy Jobs in California (NOW HIRING)

Develop and implement effective collection strategies to minimize bad debt. * Prepare regular reports on collections performance and status of outstanding invoices. * Perform other related duties as ...

Accounts Receivable Clerk

Sacramento, CA

$19.75 - $25/hr

Follow the branch collection strategy in monitoring customer accounts for non-payment, skipped invoices, and partial payments. * Provide regular communication to management regarding the status of ...

New

Follow the branch collection strategy in monitoring customer accounts for non-payment, skipped invoices, and partial payments. * Provide regular communication to management regarding the status of ...

Follow the branch collection strategy in monitoring customer accounts for non-payment, skipped invoices, and partial payments. * Provide regular communication to management regarding the status of ...

New

Accounts Receivable Clerk

Sacramento, CA

$19.75 - $25/hr

Follow the branch collection strategy in monitoring customer accounts for non-payment, skipped invoices, and partial payments. * Provide regular communication to management regarding the status of ...

New

Accounts Receivable Clerk

Los Angeles, CA

$20.50 - $25.75/hr

Follow the branch collection strategy in monitoring customer accounts for non-payment, skipped invoices, and partial payments. * Provide regular communication to management regarding the status of ...

Follow the branch collection strategy in monitoring customer accounts for non-payment, skipped invoices, and partial payments. * Provide regular communication to management regarding the status of ...

Accounts Receivable Clerk

Los Angeles, CA

$20.50 - $25.75/hr

Follow the branch collection strategy in monitoring customer accounts for non-payment, skipped invoices, and partial payments. * Provide regular communication to management regarding the status of ...

Follow the branch collection strategy in monitoring customer accounts for non-payment, skipped invoices, and partial payments. * Provide regular communication to management regarding the status of ...

You will own key merchandising levers across product discovery, site navigation, collection strategy, PDP optimization, cross-sell, promotional execution, catalog accuracy, and sell-through. This ...

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Collection Strategy information

See California salary details

$53.3K

$99.6K

$148K

How much do collection strategy jobs pay per year?

As of Jun 8, 2026, the average yearly pay for collection strategy in California is $99,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,600.00 and $133,200.00 per year, depending on experience, location, and employer.

What is collection strategy?

Collection strategy refers to the methods and processes organizations use to recover outstanding debts from customers or clients. It involves planning, implementing, and optimizing actions to ensure timely payment while maintaining good customer relationships. A strong collection strategy may include segmentation of accounts, use of technology for tracking, and tailored communication approaches. The goal is to minimize unpaid balances and reduce financial risk for the business.

What is the difference between Collection Strategy vs Collections Analyst?

AspectCollection StrategyCollections Analyst
Required CredentialsTypically a bachelor's degree in finance, business, or related fieldSame as Collection Strategy, often with certifications like CPA or CFA
Work EnvironmentStrategic planning teams, corporate officesCollections departments, financial institutions
Employer & Industry UsageUsed across industries for debt management planningPrimarily in banking, finance, and credit companies
Search & Comparison IntentFocuses on developing collection approaches and policiesFocuses on executing collection activities and recovering debts

While Collection Strategy involves planning and developing methods to optimize debt collection processes, Collections Analysts focus on executing these strategies by contacting debtors and recovering owed funds. Both roles require similar educational backgrounds and are integral to financial institutions' debt management efforts, but they differ in scope and daily responsibilities.

How does a Collection Strategy professional typically collaborate with other departments to optimize debt recovery processes?

Collection Strategy professionals frequently work cross-functionally with teams such as risk management, customer service, legal, and analytics to develop and refine approaches for debt recovery. They analyze customer data and payment behaviors, then coordinate with analytics teams to design effective segmentation and outreach strategies. Additionally, they work closely with legal and compliance departments to ensure all collection tactics adhere to regulations and company policies. This collaborative approach ensures that collection efforts are both efficient and customer-focused, while minimizing risk for the organization.

What are the key skills and qualifications needed to thrive in Collection Strategy, and why are they important?

To thrive in Collection Strategy, you need strong analytical skills, knowledge of credit and debt management, and often a background in finance or business. Familiarity with collection management systems (CMS), data analytics tools, and relevant compliance certifications such as CFPB or FDCPA is typically required. Excellent negotiation, problem-solving, and communication skills help professionals stand out in managing debtor relationships and developing effective strategies. These skills are crucial for maximizing recovery rates while maintaining compliance and positive client relationships.
What are popular job titles related to Collection Strategy jobs in California? For Collection Strategy jobs in California, the most frequently searched job titles are:
What job categories do people searching Collection Strategy jobs in California look for? The top searched job categories for Collection Strategy jobs in California are:
ML Engineer - Evaluation Analysis, Metric and Data Strategy

ML Engineer - Evaluation Analysis, Metric and Data Strategy

Apple

Culver City, CA • On-site

Full-time

Posted 12 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

The Productivity and Machine Learning Evaluation team ensures the quality of AI-powered features across a suite of productivity and creative applications; including Creator Studio, used by hundreds of millions of people. This team serves as the primary evaluation function, and its analysis directly informs decisions about model development, feature launches, and product direction. .This role is the analytical core of the team; responsible for making sense of evaluation signals and real-world user behavior. The work involves designing feature-level quality metrics, collaborating with partner teams on data collection strategies, and translating evaluation data into concise, actionable insights that drive decisions. This is an opportunity to define how AI feature quality is measured and to directly shape what gets shipped. As AI features evolve into multi-turn, agentic experiences, this role will define what "quality" means when the unit of evaluation is a conversation, not a single response.
Day-to-day work involves analyzing evaluation results, identifying trends, regressions, and segment-level patterns across multiple AI features. This includes collaborating with partner teams on data collection strategies, ensuring evaluation data is representative of real-world usage, and designing the metrics framework that leadership uses to make decisions on AI features. Typical deliverables include: feature-level quality metrics and dashboards, evaluation analysis reports, data collection requirements, dataset representativeness audits, multi-turn evaluation frameworks and session-level scoring rubrics, and concise metric summaries for decision-makers.
Bachelor's degree in Statistics, Data Science, Applied Mathematics, Computer Science, or a related quantitative field 5+ years of experience in applied science, data science, or evaluation research, with a focus on defining and operationalizing quality metrics Experience with statistical analysis methods including significance testing, sampling design, effect size estimation, and experimental design Experience working with production user data, understanding its biases and limitations compared to controlled evaluation data, including familiarity with sequential interaction data where context and turn order affect quality assessment Ability to design evaluation approaches where the unit of analysis is a session or conversation rather than a single model output Track record of independently designing metrics frameworks and driving data-informed decisions across cross-functional teams Proficiency in Python (pandas, scipy, scikit-learn) or R for data analysis and visualization
Experience designing evaluation or quality metrics for AI-powered or ML-driven features in consumer-facing products Familiarity with productivity software or creative applications, with an ability to distinguish between technically correct and genuinely useful AI outputs Experience partnering with engineering or data teams to define data collection requirements and schemas Track record of translating complex analytical findings into concise recommendations for non-technical decision-makers Experience evaluating tool-use accuracy, retrieval quality, or function-calling reliability within AI systems Experience with evaluation methodology including inter-annotator agreement, evaluation bias detection, and dataset representativeness auditing Familiarity with agentic orchestration frameworks (LangChain, LangGraph, CrewAI, AutoGen) and emerging agent interoperability protocols (A2A, MCP), with an understanding of how architectural choices in agent design affect evaluability Understanding of ML model development processes, with the ability to specify what evaluation signals are useful for model improvement Experience managing evaluation across multiple features or product areas simultaneously, with systematic rather than ad-hoc approaches Graduate degree in a relevant quantitative field

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976