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Policy Enforcement Jobs (NOW HIRING)

Spotify

$184K - $262K/yr

This team owns Spotify's content moderation infrastructure - from detection models to policy enforcement systems and compliance data pipelines. Working at the intersection of machine learning ...

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Policy Enforcement information

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$53K

$131.7K

$146K

How much do policy enforcement jobs pay per year?

As of Sep 6, 2026, the average yearly pay for policy enforcement in the United States is $131,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $145,000.00 per year, depending on experience, location, and employer.

What is a policy enforcement?

Policy enforcement jobs refer to positions responsible for ensuring that laws, regulations, organizational standards, or internal policies are followed. These roles can be found in government agencies, law enforcement, corporate compliance departments, and regulatory bodies. Individuals in policy enforcement may conduct investigations, monitor activities, educate others about rules, and take corrective actions when violations occur. Their work is essential for maintaining legal and ethical standards within organizations and society.

How does a policy enforcement professional typically collaborate with other departments to ensure compliance?

Policy Enforcement professionals routinely work with departments such as Legal, Human Resources, and Operations to interpret and implement organizational policies. They facilitate training sessions, provide guidance on compliance issues, and ensure that all teams are aware of updated regulations. Regular cross-departmental meetings and open channels of communication are essential for addressing concerns quickly and maintaining a consistent standard of compliance throughout the organization.

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

To thrive in Policy Enforcement, you need a strong understanding of relevant regulations, compliance procedures, and investigative techniques, often supported by a background in criminal justice, law, or public administration. Familiarity with case management systems, incident reporting software, and regulatory databases is typically required. Integrity, attention to detail, and effective communication are essential soft skills for building trust and ensuring clear, unbiased enforcement actions. These skills ensure policies are upheld consistently, legal standards are maintained, and organizational or public safety is protected.

What is the difference between Policy Enforcement vs Policy Analyst?

AspectPolicy EnforcementPolicy Analyst
Required CredentialsTypically a bachelor's degree in criminal justice, public administration, or related fieldsUsually a bachelor's or master's degree in public policy, political science, or related areas
Work EnvironmentFieldwork, law enforcement agencies, government officesOffice-based, research, and analysis settings
Employer & Industry UsageGovernment agencies, law enforcement, regulatory bodiesThink tanks, government departments, consulting firms

Policy Enforcement focuses on implementing and ensuring compliance with policies, often involving fieldwork and direct interaction with the public. Policy Analysts primarily research, evaluate, and develop policies through analysis and data interpretation. Both roles are essential in the policy-making process but differ in their focus and work environment.

What are the career paths in policy enforcement?

Career paths in policy enforcement typically start with entry-level roles such as compliance officer or enforcement agent, progressing to senior positions like policy manager or director. Advancement often requires experience, knowledge of regulations, and skills in investigation, communication, and data analysis, with opportunities to specialize in areas such as cybersecurity, environmental, or financial compliance.
More about Policy Enforcement jobs

What job categories do people searching Policy Enforcement jobs look for?

The top searched job categories for Policy Enforcement jobs are:

Policy Enforcement jobs near you
Infographic showing various Policy Enforcement job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $131,692 per year, or $63.3 per hour.

Senior Machine Learning Engineer - Policy & Safety

Spotify

On-site

$184K - $262K/yr

Full-time

Medical, Retirement, PTO

Re-posted 5 days ago

Key responsibilities

  • Design, build, and ship production-grade machine learning systems that power content safety and policy enforcement at Spotify scale

  • Own and lead key technical initiatives across detection, classification, and policy evaluation systems

  • Develop and maintain ML models for content moderation, including multimodal and LLM-based systems

Job description

We design Spotify's consumer experience-end to end, moment to moment, across every screen, platform, and partner integration. Our mission is to make listening feel effortless, personal, and joyful for billions of users around the world. That means turning complexity into clarity across hundreds of touchpoints-from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day. If it touches a consumer, we shape it. We bring deep insight into human behavior, design, and technology to craft experiences that feel intuitive, expressive, and unmistakably Spotify.


The Policy & Safety team sits within Content Platform in the Experience Mission, building the systems that keep Spotify safe, compliant, and trusted by millions of users and creators. This team owns Spotify's content moderation infrastructure - from detection models to policy enforcement systems and compliance data pipelines.

Working at the intersection of machine learning, platform engineering, and regulatory compliance, the team partners closely with Trust & Safety, Legal, and Public Affairs. They're on the critical path for every new content type and social feature - including messaging, comments, and collaborative experiences - ensuring safety is built in from day one. With a strong focus on "safety by default," the team is investing in large-scale rearchitecture and ML-driven systems to proactively protect users and empower safer interactions across the platform.

What You'll Do

  • Design, build, and ship production-grade machine learning systems that power content safety and policy enforcement at Spotify scale

  • Own and lead key technical initiatives across detection, classification, and policy evaluation systems

  • Develop and maintain ML models for content moderation, including multimodal and LLM-based systems

  • Build robust evaluation frameworks, including standardized datasets, offline and online metrics, and continuous improvement loops

  • Drive experimentation to improve model performance, reliability, and fairness in safety-critical systems

  • Collaborate closely with cross-functional partners in Trust & Safety, Legal, and Public Affairs to align on policy and enforcement needs

  • Provide technical leadership within the team, mentoring engineers and contributing to ML strategy and prioritization

  • Represent technical decisions and trade-offs in stakeholder discussions and influence product direction

Who You Are

  • You have solid experience building and deploying machine learning systems in production environments at scale

  • You are experienced with training, evaluating, and maintaining ML models using modern frameworks such as PyTorch

  • You have a deep understanding of machine learning evaluation, including dataset design, metrics, and continuous improvement systems

  • You know how to design systems that balance performance, reliability, and real-world impact in high-stakes domains

  • You care about building safe, responsible, and user-centric ML systems

  • You are comfortable working across disciplines, partnering with legal, policy, and product stakeholders

  • You have experience leading technical projects and influencing direction within a team or product area

  • You have experience with distributed systems or backend technologies (e.g., Scala)

Where You'll Be

  • This role is based in New York

  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

The United States base range for this position is $184,050 - $262,928 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice
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