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Urgently Hiring Bot Detection Jobs (NOW HIRING)

Suno

Software Engineer, Trust & Safety

San Francisco, CA · On-site

$170K - $240K/yr

About the Role Suno is hiring a Software Engineer, Trust and Safety, to be on the front lines of ... Build and maintain data pipelines for bot detection and content moderation using Python, Snowflake ...

Kasada

Senior Sales Engineer

Mundelein, IL

$160K - $200K/yr

Be the go-to technical expert for Kasada's platform for bot detection and fraudulent account ... We have designed our hiring process to be streamlined and thorough so everyone can make the right ...

OpenAI

Data Science Manager, Integrity

San Francisco, CA · On-site

$255K - $490K/yr

Drive strategy across multiple Integrity domains (policy enforcement, bot detection, fraud ... Are excellent at hiring, mentoring, and developing technical talent, and can build a culture that ...

Kasada

Senior Sales Engineer

San Francisco, CA

$160K - $200K/yr

Be the go-to technical expert for Kasada's platform for bot detection and fraudulent account ... We have designed our hiring process to be streamlined and thorough so everyone can make the right ...

Kasada

Senior Sales Engineer

California, MD

$160K - $200K/yr

Be the go-to technical expert for Kasada's platform for bot detection and fraudulent account ... We have designed our hiring process to be streamlined and thorough so everyone can make the right ...

PNC Bank

... Detect, monitor and mitigate automated scraping, content harvesting, and aggregator abuse using bot ... We encourage candidates to connect with their recruiter and hiring manager to understand workplace ...

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Urgently Hiring Bot Detection information

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$46K

$69.4K

$90.5K

How much do urgently hiring bot detection jobs pay per year?

As of Jul 29, 2026, the average yearly pay for urgently hiring bot detection in the United States is $69,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $90,000.00 per year, depending on experience, location, and employer.

What is the difference between Urgently Hiring Bot Detection vs Customer Support Specialist?

AspectUrgently Hiring Bot DetectionCustomer Support Specialist
Required CredentialsTechnical certifications, knowledge of security toolsCommunication skills, customer service training
Work EnvironmentTech companies, online platformsCall centers, service departments
Industry UsageCybersecurity, online fraud preventionRetail, tech support, service industries
Search & Comparison IntentDetecting malicious bots, online securityAssisting customers, resolving issues

Urgently Hiring Bot Detection focuses on identifying and preventing malicious online bots, requiring technical skills and cybersecurity knowledge. Customer Support Specialists handle customer inquiries and issues, emphasizing communication skills. While both roles serve online or service industries, their core functions and skill sets differ significantly.

More about Urgently Hiring Bot Detection jobs
What cities are hiring for Urgently Hiring Bot Detection jobs? Cities with the most Urgently Hiring Bot Detection job openings:
What are the most commonly searched types of Bot Detection jobs? The most popular types of Bot Detection jobs are:
What states have the most Urgently Hiring Bot Detection jobs? States with the most job openings for Urgently Hiring Bot Detection jobs include:
What job categories do people searching Urgently Hiring Bot Detection jobs look for? The top searched job categories for Urgently Hiring Bot Detection jobs are:
Urgently Hiring Bot Detection jobs near you
Infographic showing various Urgently Hiring Bot Detection job openings in the United States as of July 2026, with employment types broken down into 2% Internship, 89% Full Time, 6% Part Time, and 3% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $69,399 per year, or $33.4 per hour.

Software Engineer, Trust & Safety

Suno

San Francisco, CA • On-site

$170K - $240K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description

About Suno
We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfilment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world.
Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it's incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible.
Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA).
About the Role
Suno is hiring a Software Engineer, Trust and Safety, to be on the front lines of protecting our platform and users from abuse, fraud, and harmful behaviors / content. Your work will directly impact user safety and platform integrity, making it a more trustworthy place for our community.
Check out our Suno version of the job here: https://suno.com/s/FsUvdRnu5MoxhjY2
What You'll Do
  • Build and maintain data pipelines for bot detection and content moderation using Python, Snowflake, and Dagster
  • Design and implement anomaly detection systems to identify suspicious patterns in user behavior and platform activity
  • Develop internal tools and dashboards for Trust & Safety operations and investigations
  • Help improve detection algorithms and reduce false positives
  • Build automated systems for content moderation, user verification, and abuse prevention
  • Analyze large datasets in Snowflake to uncover new attack vectors and improve existing detection methods
  • Work closely with product and engineering teams to implement Trust & Safety features at scale
  • Help finance teams reduce fraudulent transactions and chargebacks by identifying and preventing payment abuse
What You'll Need
  • 3+ years of experience in Trust & Safety, fraud detection, or content moderation
  • Strong Python and SQL skills (5+ years preferred)
  • Experience with data engineering tools and pipelines (Dagster, Airflow, or similar)
  • Proficiency with SQL and data analysis (Snowflake experience preferred)
  • Experience building internal tools and dashboards for operational teams
  • Understanding of statistical analysis and anomaly detection techniques
  • Experience with real-time systems and event-driven architectures
  • Strong problem-solving skills and attention to detail
  • Knowledge of anti-abuse techniques, bot detection, and content moderation systems
  • Bachelor's degree or equivalent required.
Nice to Have
  • Experience with machine learning pipelines and model deployment
  • Background in cybersecurity or anti-fraud systems
  • Knowledge of behavioral analytics and user journey analysis
  • Experience with A/B testing and experimentation in Trust & Safety

Additional Notes
Applicants must be eligible to work in the US.
Compensation
The annual salary range for this role is $170K - $240K + target equity + benefits (including medical, dental, vision, and 401k)
Perks & Benefits for Full-Time Employees
  • Company Equity Package
  • 401(k) with 3% Employer Match & Roth 401(k)
  • Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)
  • 11 Paid Holidays + Unlimited PTO & Sick Time
  • 16 Weeks of Paid Parental Leave
  • Creative Education Stipend
  • Generous Commuter Allowance
  • In-Office Lunch (5 days per week)

Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.

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